Learn Python From an Expert: The Complete Guide: With Artificial Intelligence

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ISBN 13 :
Total Pages : 620 pages
Book Rating : 4.3/5 (976 download)

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Book Synopsis Learn Python From an Expert: The Complete Guide: With Artificial Intelligence by : Edson L P Camacho

Download or read book Learn Python From an Expert: The Complete Guide: With Artificial Intelligence written by Edson L P Camacho and published by . This book was released on 2023-06-08 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Ultimate Guide to Advanced Python and Artificial Intelligence: Unleash the Power of Code! Are you ready to take your Python programming skills to the next level and dive into the exciting world of artificial intelligence? Look no further! We proudly present the comprehensive book written by renowned author Edson L P Camacho: "Advanced Python: Mastering AI." In today's rapidly evolving technological landscape, the demand for AI professionals is soaring. Python, with its simplicity and versatility, has become the go-to language for AI development. Whether you are a seasoned Pythonista or a beginner eager to learn, this book is your gateway to mastering AI concepts and enhancing your programming expertise. What sets "Advanced Python: Mastering AI" apart from other books is its unparalleled combination of in-depth theory and hands-on practicality. Edson L P Camacho, a leading expert in the field, guides you through every step, from laying the foundation of Python fundamentals to implementing cutting-edge AI algorithms. Here's a glimpse of what you'll find within the pages of this comprehensive guide: 1. Python Fundamentals: Review and reinforce your knowledge of Python basics, including data types, control flow, functions, and object-oriented programming. Build a solid foundation to tackle complex AI concepts. 2. Data Manipulation and Visualization: Learn powerful libraries such as NumPy, Pandas, and Matplotlib to handle and analyze data. Understand how to preprocess and visualize data effectively for AI applications. 3. Machine Learning Essentials: Dive into the world of machine learning and explore popular algorithms like linear regression, decision trees, support vector machines, and neural networks. Discover how to train, evaluate, and optimize models for various tasks. 4. Deep Learning and Neural Networks: Delve deeper into neural networks, the backbone of modern AI. Gain insights into deep learning architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Implement advanced techniques like transfer learning and generative models. 5. Natural Language Processing (NLP): Explore the fascinating field of NLP and learn how to process and analyze textual data using Python. Discover techniques like sentiment analysis, named entity recognition, and text generation. 6. Computer Vision: Unleash the power of Python for image and video analysis. Build computer vision applications using popular libraries like OpenCV and TensorFlow. Understand concepts like object detection, image segmentation, and image captioning. 7. Reinforcement Learning: Embark on the exciting journey of reinforcement learning. Master the fundamentals of Q-learning, policy gradients, and deep Q-networks. Create intelligent agents that can learn and make decisions in dynamic environments. "Advanced Python: Mastering AI" not only equips you with the theoretical knowledge but also provides numerous real-world examples and projects to reinforce your understanding. Each chapter is accompanied by practical exercises and coding challenges to sharpen your skills and boost your confidence. Don't miss the opportunity to stay ahead in this AI-driven era. Order your copy of "Advanced Python: Mastering AI" today and unlock the full potential of Python programming with artificial intelligence. Take your career to new heights and become a proficient AI developer. Get ready to write the code that shapes the future!

Artificial Intelligence with Python

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Publisher : Packt Publishing Ltd
ISBN 13 : 1839216077
Total Pages : 619 pages
Book Rating : 4.8/5 (392 download)

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Book Synopsis Artificial Intelligence with Python by : Alberto Artasanchez

Download or read book Artificial Intelligence with Python written by Alberto Artasanchez and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.

Python Programming and Machine Learning

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ISBN 13 :
Total Pages : 336 pages
Book Rating : 4.6/5 (386 download)

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Book Synopsis Python Programming and Machine Learning by : John S Code

Download or read book Python Programming and Machine Learning written by John S Code and published by . This book was released on 2020-04-24 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you new to machine learning? Do you want to learn how to do machine learning with Python? Have you been thinking of learning Python as your first programming language?Artificial intelligent, Data analysis, Coding languages are subjects you need to start a super career today. The use of machine learning offers incredible opportunities!This ultimate book will give you the opportunity to understand coding languages and analysing big data to help the decision makers into meaningful information.Why with Python? Because Python is a powerful interpreted language and the best programming language to start with.Python is a complete language and platform where you can apply both research and development production. This book includes: Python Programming for Beginners This book can be your easy guide to understand coding language, Python programming, and data analysis with tricks and tools. It comes with 11 chapters that will teach you about python programming. Python Machine Learning It can be your essential book to know about artificial intelligence, neural network, mastering, and deep learning about the fundamentals of ML with Python. It consists of 12 chapters that will help you hone your skills and knowledge about machine learning. Improve your coding skills starting with an easy guide and master the fundamentals of machine learning with Python. You do not need any experience to change your career, just learn this book. So, what are you waiting for? Purchase yours today!

Python: Advanced Guide to Artificial Intelligence

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Publisher : Packt Publishing Ltd
ISBN 13 : 1789951720
Total Pages : 748 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Python: Advanced Guide to Artificial Intelligence by : Giuseppe Bonaccorso

Download or read book Python: Advanced Guide to Artificial Intelligence written by Giuseppe Bonaccorso and published by Packt Publishing Ltd. This book was released on 2018-12-21 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook Description This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems This Learning Path includes content from the following Packt products: Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is for This Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.

Python Programming

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ISBN 13 : 9781707051939
Total Pages : 194 pages
Book Rating : 4.0/5 (519 download)

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Book Synopsis Python Programming by : Nicholas Ayden

Download or read book Python Programming written by Nicholas Ayden and published by . This book was released on 2019-11-09 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you keen to learn Python Programming? Have you wanted to learn how to become a Python programmer? If so, this guide is the perfect match for people just like you! A general-purpose programming language, whose expansion and popularity is relatively recent. This is Python, a commitment to simplicity, versatility, and rapidity of development. Python is a platform-independent and object-oriented scripting language prepared to perform any type of programming language, from Windows applications to network servers or even web pages. Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby. Writing Python code is quick but running it is often slower than compiled languages. Fortunately,Python allows the inclusion of C based extensions so bottlenecks can be optimized away and often are. The numpy package is a good example of this, it's really quite quick because a lot of the number-crunching it does isn't actually done by Python! What Is Python For? One of the main advantages of learning Python is the possibility of creating a code with great readability, which saves time and resources, which facilitates its understanding and implementation. These factors and others that you will see later, have made Python become one of the most used programming languages. From web applications to artificial intelligence, Python uses are endless. Some benefits of using Python- Python comprises of a huge standard library for most Internet platforms like Email, HTML, etc. Provide easy readability due to use of square brackets Easy-to-learn for beginners Having the built-in data types saves programming time and effort from declaring variables Inside this book, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions, you will learn a valuable skill that will improve your coding expertise! Here's what we will talk about in this book: Python Features Basics of Python Data Structures & Object-Oriented Python File management Conditionals, Iterables & Regex in Python Simple recap projects Files & Error Handling In Python Some powerful tips and tricks for beginner Python programmers that will fast-track your journey to becoming a master And Much More! This book will introduce you to the Python programming language and make sure that after reading the guide, you shall be aware of the basics of the language and able to create simple Python programs. This book will help you to learn Python programming, from beginner to intermediate then advanced level. As such, this book will handle everything you need to build a strong understanding of the basics of Python programming language. If you've been thinking seriously about digging into programming, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions, will get you up to speed and this guide is going to furnish you with all the information you need to start writing useful software and applications in as little time as possible. Why wait any longer? "Add to Cart" to receive your book instantly!

Machine Learning with Python

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ISBN 13 : 9781914412240
Total Pages : 144 pages
Book Rating : 4.4/5 (122 download)

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Book Synopsis Machine Learning with Python by : William Dimick

Download or read book Machine Learning with Python written by William Dimick and published by . This book was released on 2021-03-13 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to find out how to use Python code to manage and improve Artificial intelligence and Deep learning? Are you looking for an easy training guide for programmers and data scientists? If yes, then keep reading... Artificial intelligence is a branch of computer science that seeks to develop computer systems that are capable of human-like intelligence. You can have artificial intelligence that replicates the human mind implemented this way rather than just having a computer system that mimics and the entire human brain. The latter is probably something very far off, if it is ever achieved. Artificially intelligent systems run independently. Computer systems based on artificial intelligence need to be trained, but once trained, they can operate on their own without human intervention. In the case of human intelligence, the more data you are exposed to, the better you get at solving problems related to that data. Similarly, computer systems based on artificial intelligence self-adjust to make themselves perform better. This is quite a contrast with conventional computer systems, which only do what you tell them to do, and without humans rewriting the programs that run them, they don't get any better at what they do. This is a crucial point to focus on, because the kinds of systems that we are going to talk about in this book will adjust themselves and get better, without any human intervention whatsoever. Once they are deployed, the human operators might not even understand why the artificially intelligent computer system makes the decisions it does, or how it is making those decisions. This book covers: - Machine Learning - Concepts and Terms - Data Scrubbing - Data Mining Categories - Difference between Machine Learning and AI So, ready to get started? Order Now!

PYTHON PROGRAMMING

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ISBN 13 : 9781801547659
Total Pages : 216 pages
Book Rating : 4.5/5 (476 download)

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Book Synopsis PYTHON PROGRAMMING by : Clive Campbell

Download or read book PYTHON PROGRAMMING written by Clive Campbell and published by . This book was released on 2020-12-23 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get Ready To Understand How To Get Started In The World Of Programming With Python, The Programming Language That Has Grown To Become The First Programming Language Taught In Universities Around The World! Learning python is increasingly becoming necessary, especially as concepts like artificial intelligence, big data, data science, data analytics, machine learning and many others become mainstream with new technologies like self-driving cars, robotics and many others. This probably explains why it is increasingly becoming the preferred first programming language taught in universities around the world - to prepare learners for the next big thing in computing. If you want to be part of this next big thing in computing, you too need to ride the wave by learning python! You won't get anywhere close to understanding machine learning, artificial intelligence, data science and other advanced computing concepts if you don't know python in and out. So where do you start?How do you learn python to be able to use it and set yourself up for the big things that are to come?What makes python such an important programming language to learn? If you have these and any other questions, this book is for you so keep reading! It covers the ins and outs of programming with python, including: The basics of python programming language, including how to install it and run it on different operating systems using different modes How to write your very first program on python The ins and outs of variables in python, including how to name your variables in python, complete with examples Inserting comments in python to keep your code clean How to leverage the power of operators in python How to take advantage of keywords and identifiers in python How to use statements in python How to use different operators in python The ins and outs of methods/functions in python Python methods or functions that you can use to manipulate lists The ins and outs of tuples, escape sequences, negative indexing, and slicing in python The different data types that are used in python, including how to use them effectively for different purposes How to achieve flow control in python using different statements How to unleash the full power of classes and objects in python How to work with dates and time in python Simple projects to get you started How to use python for intermediate and advanced stuff like data analysis, data processing and visualizations How to work with files on python, including different file modes, manipulating them etc. The basics of machine learning and the place of python in different advanced computing concepts And MUCH MORE! Whether you are completely new to python or want to advance your knowledge of python, this book will hold you by the hand to unleash the python expert within you. It takes a beginner friendly approach, with examples, illustrations, exercises and sample projects to help you to apply what you learn immediately. Are you ready? Click Buy Now to get started!

Python Programming, Deep Learning

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Publisher : Anthony Adams
ISBN 13 :
Total Pages : 315 pages
Book Rating : 4./5 ( download)

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Book Synopsis Python Programming, Deep Learning by : Anthony Adams

Download or read book Python Programming, Deep Learning written by Anthony Adams and published by Anthony Adams. This book was released on 2021-12-17 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easily Boost Your Skills In Python Programming & Become A Master In Deep Learning & Data Analysis! 💻 Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability with its notable use of significant whitespace. What makes Python so popular in the IT industry is that it uses an object-oriented approach, which enables programmers to write clear, logical code for all types of projects, whether big or small. Hone your Python Programming skills and gain a sharp edge over other programmers the EASIEST way possible... with this practical beginner’s guide! In his 3-in-1 Python crash course for beginners, Anthony Adams gives novices like you simple, yet efficient tips and tricks to become a MASTER in Python coding for artificial intelligence, neural networks, machine learning, and data science/analysis! Here’s what you’ll get: ✅ Highly innovative ways to boost your understanding of Python programming, data analysis, and machine learning ✅ Quickly and effectively stop fraud with machine learning ✅ Practical and efficient exercises that make understanding Python quick & easy And so much more! As a beginner, you might feel a bit intimidated by the complexities of coding. Add the fact that most Python Programming crash course guides make learning harder than it has to be! ✓ With the help of this 3-in-1 guide, you will be given carefully sequenced Python Programming lessons that’ll maximize your understanding, and equip you with all the skills for real-life application! ★ Thrive in the IT industry with this comprehensive Python Programming crash course! ★ Scroll up, Click on “Buy Now”, and Start Learning Today!

Python Programming

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ISBN 13 :
Total Pages : 602 pages
Book Rating : 4.6/5 (388 download)

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Book Synopsis Python Programming by : Clive Campbell

Download or read book Python Programming written by Clive Campbell and published by . This book was released on 2020-04-20 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: THIS BOOK INCLUDES: - Python for beginners - PYTHON PROGRAMMING - The Ultimate Guide from beginners to Experts - PYTHON PROGRAMMING - The Ultimate Expert Guide . You Are 1-Click Away From Learning The Ins And Outs Of Python Programming Language From The Basics To Its Application In Advanced Computing Concepts Like Machine Learning, Computer Science, Artificial Intelligence And More! Python is now: The preferred programming language for advanced computing concepts like data analytics, machine learning, artificial intelligence, big data, computer science and more The most taught first programming language taught in universities around the world One of the most common used programming languages in the world The programming language that has been used to write code for important processes on some of the most popular websites in the world like Facebook, Quora, Dropbox, Airbnb, Google Maps, YouTube, Instagram and many other platforms Do you know why? The short answer is "because it works". And the long answer is this: "It is highly scalable, easy to use, with a rich powerful library that make it possible to use it for everything from writing simple code to advanced computing, a very active online community, a large collection of third party modules and packages as well as the fact that it also supports object oriented development!" By virtue that you are reading this, it is clear you want to start learning programming with python, from the basics all the way to the advanced computing stuff. And this 3 in 1 book is about to show you the ins and outs of python to do just that. I know you have lots of questions going through your mind... Where exactly do you start as you learn python? Why should you make python your programming language of choice whether you are a complete beginner to programming or not? How do you write your first program with python? How can you start using python for advanced computing stuff like artificial intelligence, robotics, machine learning, data analytics, big data, data science and the likes? If you have these and other related questions, this 3 in 1 book is for you so keep reading. More precisely, this 3 in 1 book will teach you: An in-depth analysis of python; what it is, how to install it on different operating systems using different modes and how it has evolved over the years How you stand to benefit by learning Python Why python is considered the most suitable programming language for advanced computing such as in machine learning, deep learning, artificial intelligence etc. Steps to take to write your very first program on python Step by step process to perform data analysis with python Everything you need to know about variables in python The most suitable python libraries you should use for advanced computing How to leverage the power of python to handle a variety of machine learning algorithms How you can insert comments in python to keep your code clean How to work with files on python Simple projects to get you started with python Varied data types used in python Powerful tips for successful use of python and how to handle any problems in code that may arise And much more Even if this is your first programming language to learn, you are in safe hands, as this book will break down the seemingly complex terms and concepts using simple, straightforward language to enable you put what you learn

PYTHON PROGRAMMING

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ISBN 13 : 9781801547673
Total Pages : 604 pages
Book Rating : 4.5/5 (476 download)

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Book Synopsis PYTHON PROGRAMMING by : Clive Campbell

Download or read book PYTHON PROGRAMMING written by Clive Campbell and published by . This book was released on 2020-12-23 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: THIS BOOK INCLUDES: Python for beginners PYTHON PROGRAMMING - The Ultimate Guide from beginners to Experts PYTHON PROGRAMMING - The Ultimate Expert Guide . You Are About to Discover The Ins And Outs Of Python Programming Language From The Basics To Its Application In Advanced Computing Concepts Like Machine Learning, Computer Science, Artificial Intelligence And More! Python is now: The preferred programming language for advanced computing concepts like data analytics, machine learning, artificial intelligence, big data, computer science and more The most taught first programming language One of the most common used programming languages in the world The programming language that has been used to write code for important processes on some of the most popular websites in the world like Facebook, Dropbox, Google Maps, YouTube, Instagram and many others Do you know why? The short answer is "because it works". And the long answer is this: "It is highly scalable, easy to use, with a rich powerful library that make it possible to use it for everything from writing simple code to advanced computing, a very active online community, a large collection of third party modules and packages as well as the fact that it also supports object oriented development!" By virtue that you are reading this, it is clear you want to start learning programming with python, from the basics all the way to the advanced computing stuff. And this 3 in 1 book is about to show you the ins and outs of python to do just that. I know you have lots of questions going through your mind... Where exactly do you start as you learn python? Why should you make python your programming language of choice whether you are a complete beginner to programming or not? How do you write your first program with python? How can you start using python for advanced computing stuff like artificial intelligence, robotics, machine learning, data analytics, big data, data science and the likes? If you have these and other related questions, this 3 in 1 book is for you so keep reading. More precisely, this 3 in 1 book will teach you: An in-depth analysis of python; what it is and how to install it on different operating systems How you stand to benefit by learning Python Why python is considered the most suitable programming language for advanced computing such as in machine learning, deep learning, artificial intelligence etc. Steps to take to write your very first program on python Step by step process to perform data analysis with python Everything you need to know about variables in python The most suitable python libraries you should use for advanced computing How to leverage the power of python to handle a variety of machine learning algorithms How you can insert comments in python to keep your code clean How to work with files on python Simple projects to get you started with python Varied data types used in python Powerful tips for successful use of python and how to handle any problems in code that may arise And MUCH MORE! Even if this is your first programming language to learn, you are in safe hands, as this book will break down the seemingly complex terms and concepts using simple, straightforward language to enable you put what you learn into action. Click Buy Now to get started!

Machine Learning with Python

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Author :
Publisher : Steve Blair
ISBN 13 : 9781802535204
Total Pages : 184 pages
Book Rating : 4.5/5 (352 download)

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Book Synopsis Machine Learning with Python by : Steve Blair

Download or read book Machine Learning with Python written by Steve Blair and published by Steve Blair. This book was released on 2021-04-16 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supercharge your Python skills and uncover the amazing benefits of machine learning with this complete guide. Are you a newcomer to the incredible programming language of Python? Are you searching for a practical beginner's introduction to the world of machine learning, artificial intelligence, and how you can create your own neural networks? Then it's time to try this book! Machine learning is the way of the future, and as a programmer, it's never been more important to understand this groundbreaking concept and begin creating your own neural networks. So how can you begin mastering machine learning even if you have only a basic understanding of Python? Packed with handy advice and detailed overviews, Python Machine Learning unveils the inner workings of neural networks and artificial intelligence in a way that even beginners can understand. With reference to basic terminology and concepts, training sets, algorithms, and so much more, this complete guide lets you begin creating your own networks even with the most basic knowledge of Python. Plus, you'll also find a wealth of tips for building good data sets and finding the right algorithm for all of your goals. Inside this comprehensive guide, you'll find: A Brilliant Introduction To The Essentials of Machine Learning and Its Surprising History Understanding The Basic Terminology and Ideas Behind Machine Learning Systems How To Pick The Right Classifiers, Variables, Metrics, Models, and More Practical Advice For Developing Your Own Machine Learning System 10 Must-Know Algorithms For Classification Tips and Tricks For Building Good Data Sets And Much More... Whether you want to begin programming for the first time, expand your skillsets into new areas, or simply create artificial intelligence as a hobby, Python Machine Learning shows you in plain English how to supercharge your Python skills and begin experimenting with this revolutionary programming concept. Buy now to begin creating neural networks today

Machine Learning with Python

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ISBN 13 : 9781801693110
Total Pages : 0 pages
Book Rating : 4.6/5 (931 download)

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Book Synopsis Machine Learning with Python by : Russel R Russo

Download or read book Machine Learning with Python written by Russel R Russo and published by . This book was released on 2021-02-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you fascinated by Machine Learning but it seems too complicated?Do you have some coding skills but you want to go deeper in Python and Machine Learning? If this is you, please keep reading: you are in the right place, looking at the right book. Since you are reading this you are probably aware of how important Artificial Intelligence is in these days. In your everyday life Artificial Intelligence is all around you. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify or reserve a room on Booking, they are learning something out of your behavior. And these are just the most visible aspects of how Machine Learning is having an impact on our lives. Everyone knows (well, almost everyone) how important Machine Learning is for the growth and success of the biggest tech companies, and many people know about the Machine Learning impact in science, medicine and statistics. Also, it is quite commonly known that Artificial Intelligence, Machine Learning, and the mastering of their most important language, Python, can offer a lot of possibilities in work and business. And you yourself are probably thinking "I surely can see that opportunity, but how can I seize it?" Well, if you kept reading so far you are on the right track to answer your question. In Machine Learning with Python you will find: Why python is the best language for Machine Learning How to bring your ideas into a computer The smartest way to approach Machine Learning How to deal with variables and data Tips and tricks for a smooth and painless journey into artificial intelligence The most common myths about Machine Learning debunked So, whether you decided to start now or to go deeper into Artificial Intelligence, Machine Learning and Python Programming, you will only have two unanswered questions right now: "what is the best way to do it? And when is the best time to start?" An easy, clear and complete guide as Machine Learning with Python is the answer to your first question, and about the second one, well, that's an easy one: the best time is NOW! Buy Machine Learning with Python now and start mastering the secrets of Artificial Intelligence.

Machine Learning with Python

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Publisher :
ISBN 13 : 9781801878906
Total Pages : 186 pages
Book Rating : 4.8/5 (789 download)

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Book Synopsis Machine Learning with Python by : ML and AI Academy

Download or read book Machine Learning with Python written by ML and AI Academy and published by . This book was released on 2021-02-14 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: !! 55% OFF for Bookstores!! NOW at 29.95 instead of 39.95 !! Buy it NOW and let your customers get addicted to this awesome book!

Python Machine Learning

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Publisher :
ISBN 13 : 9781914167539
Total Pages : 130 pages
Book Rating : 4.1/5 (675 download)

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Book Synopsis Python Machine Learning by : Andrew Park

Download or read book Python Machine Learning written by Andrew Park and published by . This book was released on 2020-11-13 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn how to design and master different Machine Learning algorithms quickly and easily, then keep reading. Today, we live in the era of Artificial Intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times. From research topics to projects and applications in different stages of production, there is a lot going on in the world of Machine Learning. Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. This is Machine Learning. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future! Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data. Starting from scratch, Python Machine Learning explains how this happens, how machines build their experience and compounding knowledge. Data forms the core of Machine Learning because within data lie truths whose depths exceed our imagination. The computations machines can perform on data are incredible, beyond anything a human brain could do. Once we introduce data to a machine learning model, we must create an environment where we update the data stream frequently. This builds the machine's learning ability. The more data Machine Learning models are exposed to, the easier it is for these models to expand their potential. Some of the topics that we will discuss inside include: What is Machine Learning and how it is applied in real-world situations Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence Supervised learning, unsupervised learning, and semi-supervised learning The place of Regression techniques in Machine Learning, including Linear Regression in Python Machine learning training models How to use Lists and Modules in Python The 12 essential libraries for Machine Learning in Python What is the Tensorflow library Artificial Neural Networks And Much More! While most books only focus on widespread details without going deeper into the different models and techniques, Python Machine Learning explains how to master the concepts of Machine Learning technology and helps you to understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines using various Machine Learning algorithms. Even if some concepts of Machine Learning algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way. Would You Like To Know More? Scroll up and click the BUY NOW button to get your copy now!

Machine Learning with Python

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Author :
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ISBN 13 :
Total Pages : 186 pages
Book Rating : 4.6/5 (139 download)

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Book Synopsis Machine Learning with Python by : ML and Ai Academy

Download or read book Machine Learning with Python written by ML and Ai Academy and published by . This book was released on 2020-02-14 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you looking for a complete guide of machine learning and artificial intelligence? Then you have found just the book you need to understand and master the fundamentals of machine learning and artificial intelligence technology to kick-start your business and master the Python programming language to develop a winning machine-learning model. With the rise of the modern-day smart customer, a competitive race has been ignited among the businesses that are starting to rely upon innovative technologies. The most important technologies are machine-learning, data mining technology, and artificial intelligence technology to gain an edge over the competition; resulting in high paying and rewarding jobs for people like you who have the in-demand machine learning technical skillset. However, performing a simple Google search on "what is machine learning?" unhinges a "Pandora's box" of forums, academic research, and hearsay. However, it is essentials to master the basics of these technologies as well as the basic concepts of Python coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume. Python was designed primarily to emphasize the readability of the programming code, and its syntax enables programmers to convey ideas using fewer lines of code. Python programming language increases the speed of operation while allowing for higher efficiency in creating system integrations. The power of programming languages in our digital world cannot be underestimated. Some of the highlights of this book include: Deep dive into the data mining process, the benefits of using data mining technology, the challenges facing the data mining technology and learn about some data mining tools that you can leverage for your business. Gain an in-depth understanding of various machine-learning algorithms do assess the best Machine-learning algorithm applicable to your business model. Dig deep into the development and application of some of the most popular supervised and unsupervised machine learning algorithms. Step by step instructions on how to install Python on your operating systems (Windows, Mac, and Linux). Basic concepts of writing efficient and effective Python codes, focusing on various programming elements such as Booleans, Tuples, Sets, Dictionaries, and much more. Learn everything you need to know for successful development and training of neural network models using one of the most popular machine learning libraries called "TensorFlow." Deep dive into the concept of personalized marketing, predictive analytics, customer analytics and exploratory data analysis presented with details on how you can make sense out of all your customer behavioral data. Remember knowledge is power, and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices. Your understanding of Python, Artificial Intelligence and machine learning will improve drastically, and you will be poised to develop your very own machine-learning model. Therefore, be a Good Samaritan, spread the word to your tech-savvy friends and family, and help them get access to this power! Even if you have never studied Python language before, you can learn it quickly. So what are you waiting for? Go to the top of the page and click Buy Now!

Machine Learning With Python

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ISBN 13 :
Total Pages : 534 pages
Book Rating : 4.6/5 (49 download)

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Book Synopsis Machine Learning With Python by : Ethan Williams

Download or read book Machine Learning With Python written by Ethan Williams and published by . This book was released on 2020-05-28 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction 1MACHINE LEARNING WITH PYTHON - The Ultimate Beginners Guide to Learn Machine Learning with Python Step by StepWe live in a world of data deluge where gigabytes of data are generated daily. It is possible that this data might not be very useful for our daily applications. Major setbacks in the use of such data may be due to the presence of loopholes in data links previously generated or the data might be too vast for the limited human mind. Machine learning in this book presents some of the solutions to the problems above. Being an introductory guide, expect to learn the various basics involved in Machine Learning and Python. This book provides an insight into the new world of big data, then behooves you to learn more about Machine Learning. You will be able to get answers to the following questions: -What is Machine Learning and what does it entail? -How can I apply machine learning to have a glimpse into the new world, power my enterprise or find out how the Internet thinks about my academic research work? Be ready to learn all that it takes to be an expert in the field of Machine Learning!Introduction 2MACHINE LEARNING WITH PYTHON - Comprehensive Guide of Tips and Tricks of using Machine Learning Theories with PythonMachine learning is a branch of artificial intelligence that designs algorithms that improve their performance based on empirical data. Machine learning is one of the most active and exciting fields of computer science today, mainly because of its many application options ranging from pattern recognition and in-depth data analysis to robotics, computational vision, bioinformatics, and computational linguistics. Machine learning is above all a discipline that can contribute to many domains and has very challenging applications. This is the area where most publications in academia are concerned with artificial intelligence, and all major companies, such as Google, Facebook or Microsoft, apply machine learning methods in their applications. This book covers the theory, principles and tricks to machine learning and provides an overview of its applications in Python.In the field of data science, it comes quite natural that you should learn Python. If you're wondering why Python is the answer, the answer is that there are already ready packages (statistical and numerical) for analyzing data such as PyBrain, NumPy, and MySQL. Machine learning integrates computers and statistics that allow computers to learn new tasks. There are Python modules - such as Scikit-learn, Tensorflow, and Theano - that support machine learning so that you can do cool things such as spam detection and fingerprint identification. So these are some of the concepts that you will master reading this book.Introduction 3MACHINE LEARNING WITH PYTHON - Advanced and Effective Strategies Using Machine Learning with Python TheoriesAre you eager to use advanced Machine Learning methods with Python? Are you looking forward to automating simple things using the power of the keyboard, but you have no idea how to achieve it?Machine learning is a vast field and expanding at supersonic speed. Python evolution is an ongoing process and lives up to the hype. The field goes beyond robotics and data finance to finance applications.When you use machine learning and python programming in the right way, they have the capability of changing the lives of people around the world. In this advanced book, we are going to break down the advanced features of this new technology to advance your skills as an IT enthusiast. You will discover: -How we classify machine learning algorithms-How we can apply machine learning in different areas-Understanding the artificial neural networks-The use of convoluted neural networks-Building predictive models-Autoencoders in ML and Python-K-Means techniques and Natural Language Processing-The art of feature engineering-The ensemble methods

Python Machine Learning

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ISBN 13 : 9781801130172
Total Pages : 174 pages
Book Rating : 4.1/5 (31 download)

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Book Synopsis Python Machine Learning by : Oliver Soranson

Download or read book Python Machine Learning written by Oliver Soranson and published by . This book was released on 2020-10-30 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supercharge your Python skills and uncover the amazing benefits of machine learning with this complete guide. Are you a newcomer to the incredible programming language of Python? Are you searching for a practical beginner's introduction to the world of machine learning, artificial intelligence, and how you can create your own neural networks? Then it's time to try this book! Machine learning is the way of the future, and as a programmer, it's never been more important to understand this groundbreaking concept and begin creating your own neural networks. So how can you begin mastering machine learning even if you have only a basic understanding of Python? Packed with handy advice and detailed overviews, Python Machine Learning unveils the inner workings of neural networks and artificial intelligence in a way that even beginners can understand. With reference to basic terminology and concepts, training sets, algorithms, and so much more, this complete guide lets you begin creating your own networks even with the most basic knowledge of Python. Plus, you'll also find a wealth of tips for building good data sets and finding the right algorithm for all of your goals. Inside this comprehensive guide, you'll find: A Brilliant Introduction To The Essentials of Machine Learning and Its Surprising History Understanding The Basic Terminology and Ideas Behind Machine Learning Systems How To Pick The Right Classifiers, Variables, Metrics, Models and More Practical Advice For Developing Your Own Machine Learning System 10 Must-Know Algorithms For Classification Tips and Tricks For Building Good Data Sets And Much More... Whether you want to begin programming for the first time, expand your skillsets into new areas, or simply create artificial intelligence as a hobby, Python Machine Learning shows you in plain English how to supercharge your Python skills and begin experimenting with this revolutionary programming concept. Scroll up and buy now to begin creating neural networks today!