Python Data Science Essentials

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Publisher : Packt Publishing Ltd
ISBN 13 : 1786462834
Total Pages : 373 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Python Data Science Essentials by : Alberto Boschetti

Download or read book Python Data Science Essentials written by Alberto Boschetti and published by Packt Publishing Ltd. This book was released on 2016-10-28 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience Who This Book Is For If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills. What You Will Learn Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux Get data ready for your data science project Manipulate, fix, and explore data in order to solve data science problems Set up an experimental pipeline to test your data science hypotheses Choose the most effective and scalable learning algorithm for your data science tasks Optimize your machine learning models to get the best performance Explore and cluster graphs, taking advantage of interconnections and links in your data In Detail Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users. Style and approach The book is structured as a data science project. You will always benefit from clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.

Seaborn

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Publisher : Macmillan
ISBN 13 : 9781596433908
Total Pages : 216 pages
Book Rating : 4.4/5 (339 download)

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Book Synopsis Seaborn by : Craig Moodie

Download or read book Seaborn written by Craig Moodie and published by Macmillan. This book was released on 2008-08-19 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Craving "the Big Freedom," sixteen-year-old Luke resents being cooped up with his father on a small sailboat just after his mother walked out on them, but a sudden storm sweeps his father overboard, leaving Luke to figure out how to survive on a damaged boat in the Gulf Stream while dealing with his feelings of guilt.

Seaborn

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Author :
Publisher : Roaring Brook Press
ISBN 13 : 1429917954
Total Pages : 208 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Seaborn by : Craig Moodie

Download or read book Seaborn written by Craig Moodie and published by Roaring Brook Press. This book was released on 2008-08-19 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: "THE BOAT IS SINKING. YOU HAVE TO MOVE." When Luke's sailing trip goes horribly wrong, he must face the vast and brutal sea in this story of one boy's survival and coming-of-age. On the evening before Luke's family's annual summer sailing trip off Cape Cod, Luke's mother leaves. Luke is left with his angry, confused father on a small boat for a week and the trip goes horribly wrong when a summer storm sweeps Luke's father overboard. Not knowing whether his father is dead or alive, Luke must figure out how to survive on a wrecked sailboat far out to sea. Fans of Gary Paulsen and Will Hobbs will be captivated by Craig Moodie's depiction of the North Atlantic in this coming-of-age adventure.

Python Data Science Handbook

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491912138
Total Pages : 743 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Python Data Science Handbook by : Jake VanderPlas

Download or read book Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Ransom Seaborn

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Author :
Publisher : Createspace Independent Pub
ISBN 13 : 9781482543285
Total Pages : 214 pages
Book Rating : 4.5/5 (432 download)

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Book Synopsis Ransom Seaborn by : Bill Deasy

Download or read book Ransom Seaborn written by Bill Deasy and published by Createspace Independent Pub. This book was released on 2013-02-20 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: It's Dan Finbar's freshman year and he's struggling to find his proper place in Harrison College. When he finally breaks through into the world of notorious loner Ransom Seaborn, their friendship is brutally cut short, leaving Finbar with nothing but Ransom's old leather journal and his sometime girlfriend Maggie. As Finbar and Maggie investigate the journal--and Ransom's soul--their discoveries illuminate the dark depths of the human heart and they find that what glitters is indeed sometimes gold.

Seaborn

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Author :
Publisher : CreateSpace
ISBN 13 : 9781468013504
Total Pages : 404 pages
Book Rating : 4.0/5 (135 download)

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Book Synopsis Seaborn by : Chris Howard

Download or read book Seaborn written by Chris Howard and published by CreateSpace. This book was released on 2011-11-30 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: "From the first page of Seaborn, you are immersed. Chris Howard navigates a wild ride through a brilliantly edgy and richly atmospheric alter-world. Here is a fresh, formidable spin on fantasy, and Howard is a talent to watch out for. Seaborn will leave you spellbound." -Adele Griffin, author of where I want to be "Dark and atmospheric, Seaborn is an imaginative new entry in the world of paranormal fiction." -Liz Maverick, author of Wired, a Publishers Weekly Best Book of 2007 ..".a fresh and entertaining read and I fully expect we will be hearing more from Chris Howard in the future." -SciFiGuy "Fascinating read..." -Romantic Times 4 star review Description: Corina Lairsey has just clawed her way free from one controlling relationship when she finds herself in another-only this guy, Aleximor, has really gotten under her skin. Literally. A 400-year-old sorcerer who gathers the drowned dead off the ocean's floor for the King of the Seaborn, he's inside her head and is wearing her body like a wetsuit. Corina desperately schemes to regain control of her self, fighting against time as Aleximor trades pieces of her life away in exchange for power over the path between the worlds of the living and the dead . . . Kassandra is the King of the Seaborn's granddaughter. She comes from the sea, but has spent her whole life in exile on the surface, struggling to control frightening powers she barely understands. She declares war on her murderous grandfather and manipulates her family, friends, oceanic royalty, and the US Navy to aid her- but Aleximor intends to use Kass to carry out his revenge against the entire Seaborn royal line. And she's also fallen in love-one more struggle for an already troubled soul. Author's Note: Seaborn is a contemporary fantasy about the loss of freedom. There are two heroines. One, Corina Lairsey has just lost all physical control, and her story is about how she fights, convinces, bargains with the evil inside in order to get her self back. The other is Kassandra, who is from the sea, but has grown up in Nebraska in exile. She has the opposite problem Corina has. Kassandra's one of the most powerful things from the sea, but she's the product of others' manipulations, following a path to the throne she's not sure she wants to take, struggling to be certain that any motive in her head is really her own.

History of Old Pendleton District

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Author :
Publisher :
ISBN 13 :
Total Pages : 238 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis History of Old Pendleton District by : Richard Wright Simpson

Download or read book History of Old Pendleton District written by Richard Wright Simpson and published by . This book was released on 1913 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Shards of Heaven

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Publisher : Tor Books
ISBN 13 : 1466873310
Total Pages : 416 pages
Book Rating : 4.4/5 (668 download)

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Book Synopsis The Shards of Heaven by : Michael Livingston

Download or read book The Shards of Heaven written by Michael Livingston and published by Tor Books. This book was released on 2015-11-10 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Julius Caesar is dead, assassinated on the senate floor, and the glory that is Rome has been torn in two. Octavian, Caesar's ambitious great-nephew and adopted son, vies with Marc Antony and Cleopatra for control of Caesar's legacy. As civil war rages from Rome to Alexandria, and vast armies and navies battle for supremacy, a secret conflict may shape the course of history. Juba, Numidian prince and adopted brother of Octavian, has embarked on a ruthless quest for the Shards of Heaven, lost treasures said to possess the very power of the gods-or the one God. Driven by vengeance, Juba has already attained the fabled Trident of Poseidon, which may also be the staff once wielded by Moses. Now he will stop at nothing to obtain the other Shards, even if it means burning the entire world to the ground. Caught up in these cataclysmic events, and the hunt for the Shards, are a pair of exiled Roman legionnaires, a Greek librarian of uncertain loyalties, assassins, spies, slaves . . . and the ten-year-old daughter of Cleopatra herself. Michael Livingston's The Shards of Heaven reveals the hidden magic behind the history we know, and commences a war greater than any mere mortal battle. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.

Python Data Analysis Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1785283855
Total Pages : 462 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Python Data Analysis Cookbook by : Ivan Idris

Download or read book Python Data Analysis Cookbook written by Ivan Idris and published by Packt Publishing Ltd. This book was released on 2016-07-22 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 140 practical recipes to help you make sense of your data with ease and build production-ready data apps About This Book Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning Authored by Ivan Idris, expert in python programming and proud author of eight highly reviewed books Who This Book Is For This book teaches Python data analysis at an intermediate level with the goal of transforming you from journeyman to master. Basic Python and data analysis skills and affinity are assumed. What You Will Learn Set up reproducible data analysis Clean and transform data Apply advanced statistical analysis Create attractive data visualizations Web scrape and work with databases, Hadoop, and Spark Analyze images and time series data Mine text and analyze social networks Use machine learning and evaluate the results Take advantage of parallelism and concurrency In Detail Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning. Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code. By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios. Style and Approach The book is written in “cookbook” style striving for high realism in data analysis. Through the recipe-based format, you can read each recipe separately as required and immediately apply the knowledge gained.

Data Visualization with Python

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Author :
Publisher : BPB Publications
ISBN 13 : 9355515383
Total Pages : 309 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Data Visualization with Python by : Dr. Pooja

Download or read book Data Visualization with Python written by Dr. Pooja and published by BPB Publications. This book was released on 2023-07-11 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transforming data into actionable insights using Python KEY FEATURES ● Gain a comprehensive understanding of data visualization and exploratory data analysis (EDA) using Python. ● Discover valuable insights and patterns in data through visual analysis. ● Master the art of effectively communicating complex concepts by creating compelling and impactful data visualizations. DESCRIPTION Python is a popular programming language for data visualization due to its rich ecosystem of libraries and tools. If you're interested in delving into data visualization in Python, this book is an excellent resource to begin your journey. With Matplotlib, you'll master the art of creating a wide range of charts, plots, and graphs. From basic line plots to complex 3D visualizations, you'll learn how to transform raw data into engaging visuals that tell compelling stories. Dive into Seaborn, a high-level library built on top of Matplotlib, and discover how to effortlessly create beautiful and informative statistical visualizations effortlessly. From heatmaps to distribution plots, you'll unleash the full potential of Seaborn in your data analysis endeavors. Lastly, you will learn how to unleash the true potential of Bokeh and create compelling data visualizations that allow users to explore and interact with data dynamically. By the end of the book, you will have acquired the knowledge and skills necessary to create a diverse range of visualizations proficiently. WHAT YOU WILL LEARN ● Utilize Matplotlib, Seaborn, and Bokeh to produce visually captivating visualizations. ● Gain expertise in various types of charts, plots, and graphs. ● Craft visually appealing and informative statistical visualizations. ● Construct interactive and adaptable plots using Bokeh. ● Explore various techniques for conducting Exploratory Data Analysis (EDA). WHO THIS BOOK IS FOR This book caters to a wide audience, including undergraduate and postgraduate students, researchers, data managers, and data analysts. It presents an all-encompassing exploration of data visualization, equipping you with the essential groundwork to progress as a data-driven professional. TABLE OF CONTENTS 1. Understanding Data 2. Data Visualization – Importance 3. Data Visualization Use Cases 4. Data Visualization Tools and Techniques 5. Data Visualization with Matplotlib 6. Data Visualization with Seaborn 7. Data Visualization with Bokeh 8. Exploratory Data Analysis

Matplotlib 2.x By Example

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Publisher : Packt Publishing Ltd
ISBN 13 : 1788292138
Total Pages : 328 pages
Book Rating : 4.7/5 (882 download)

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Book Synopsis Matplotlib 2.x By Example by : Allen Yu

Download or read book Matplotlib 2.x By Example written by Allen Yu and published by Packt Publishing Ltd. This book was released on 2017-08-28 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x About This Book Create and customize live graphs, by adding style, color, font to make appealing graphs. A complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits. Create timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more. Who This Book Is For This book is for anyone interested in data visualization, to get insights from big data with Python and Matplotlib 2.x. With this book you will be able to extend your knowledge and learn how to use python code in order to visualize your data with Matplotlib. Basic knowledge of Python is expected. What You Will Learn Familiarize with the latest features in Matplotlib 2.x Create data visualizations on 2D and 3D charts in the form of bar charts, bubble charts, heat maps, histograms, scatter plots, stacked area charts, swarm plots and many more. Make clear and appealing figures for scientific publications. Create interactive charts and animation. Extend the functionalities of Matplotlib with third-party packages, such as Basemap, GeoPandas, Mplot3d, Pandas, Scikit-learn, and Seaborn. Design intuitive infographics for effective storytelling. In Detail Big data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization. Matplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples. It begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts. By the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This book will guide you to prepare high quality figures for manuscripts and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable. Style and approach Step by step comprehensive guide filled with real world examples.

Mathematics for the Physical Sciences

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Publisher : Springer Science & Business Media
ISBN 13 : 1468492799
Total Pages : 250 pages
Book Rating : 4.4/5 (684 download)

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Book Synopsis Mathematics for the Physical Sciences by : James B. Seaborn

Download or read book Mathematics for the Physical Sciences written by James B. Seaborn and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a bridge from courses in general physics to the intermediate-level courses in classical mechanics, electrodynamics and quantum mechanics. The author bases the mathematical discussions on specific physical problems to provide a basis for developing mathematical intuition.

Research Software Engineering with Python

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Publisher : CRC Press
ISBN 13 : 1000417123
Total Pages : 528 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Research Software Engineering with Python by : Damien Irving

Download or read book Research Software Engineering with Python written by Damien Irving and published by CRC Press. This book was released on 2021-08-06 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Writing and running software is now as much a part of science as telescopes and test tubes, but most researchers are never taught how to do either well. As a result, it takes them longer to accomplish simple tasks than it should, and it is harder for them to share their work with others than it needs to be. This book introduces the concepts, tools, and skills that researchers need to get more done in less time and with less pain. Based on the practical experiences of its authors, who collectively have spent several decades teaching software skills to scientists, it covers everything graduate-level researchers need to automate their workflows, collaborate with colleagues, ensure that their results are trustworthy, and publish what they have built so that others can build on it. The book assumes only a basic knowledge of Python as a starting point, and shows readers how it, the Unix shell, Git, Make, and related tools can give them more time to focus on the research they actually want to do. Research Software Engineering with Python can be used as the main text in a one-semester course or for self-guided study. A running example shows how to organize a small research project step by step; over a hundred exercises give readers a chance to practice these skills themselves, while a glossary defining over two hundred terms will help readers find their way through the terminology. All of the material can be re-used under a Creative Commons license, and all royalties from sales of the book will be donated to The Carpentries, an organization that teaches foundational coding and data science skills to researchers worldwide.

Python 3 Data Visualization Using Google Gemini

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501519794
Total Pages : 200 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 Data Visualization Using Google Gemini by : Oswald Campesato

Download or read book Python 3 Data Visualization Using Google Gemini written by Oswald Campesato and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-03-13 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive guide to leveraging Python-based data visualization techniques with the innovative capabilities of Google Gemini. Tailored for individuals proficient in Python seeking to enhancetheir visualization skills, it explores essential libraries like Pandas, Matplotlib, and Seaborn, along with insights into the innovative Gemini platform. With a focus on practicality and efficiency, it delivers a rapid yet thorough exploration of data visualization methodologies, supported by Gemini-generated code samples. Companion files with source code and figures are available for downloading. FEATURES: Covers Python-based data visualization libraries and techniques Includes practical examples and Gemini-generated code samples for efficient learning Integrates Google Gemini for advanced data visualization capabilities Sets up a conducive development environment for a seamless coding experience Includes companion files for downloading with source code and figures

The Children's Health Food Book

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Publisher :
ISBN 13 : 9780964708921
Total Pages : 40 pages
Book Rating : 4.7/5 (89 download)

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Book Synopsis The Children's Health Food Book by : Ron Seaborn

Download or read book The Children's Health Food Book written by Ron Seaborn and published by . This book was released on 2006-01-01 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a starter's guide for all age groups, which uses fun and colorful characters to depict various food groups and their effect on the body. It also helps parents to simplify the message to their children. It is designed to educate and stimulate the young reader in their early stages of nutritional development.

IPython Interactive Computing and Visualization Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 178328482X
Total Pages : 899 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis IPython Interactive Computing and Visualization Cookbook by : Cyrille Rossant

Download or read book IPython Interactive Computing and Visualization Cookbook written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

Machine Learning for Developers

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Publisher : Packt Publishing Ltd
ISBN 13 : 1786466961
Total Pages : 264 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Machine Learning for Developers by : Rodolfo Bonnin

Download or read book Machine Learning for Developers written by Rodolfo Bonnin and published by Packt Publishing Ltd. This book was released on 2017-10-26 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your one-stop guide to becoming a Machine Learning expert. About This Book Learn to develop efficient and intelligent applications by leveraging the power of Machine Learning A highly practical guide explaining the concepts of problem solving in the easiest possible manner Implement Machine Learning in the most practical way Who This Book Is For This book will appeal to any developer who wants to know what Machine Learning is and is keen to use Machine Learning to make their day-to-day apps fast, high performing, and accurate. Any developer who wants to enter the field of Machine Learning can effectively use this book as an entry point. What You Will Learn Learn the math and mechanics of Machine Learning via a developer-friendly approach Get to grips with widely used Machine Learning algorithms/techniques and how to use them to solve real problems Get a feel for advanced concepts, using popular programming frameworks. Prepare yourself and other developers for working in the new ubiquitous field of Machine Learning Get an overview of the most well known and powerful tools, to solve computing problems using Machine Learning. Get an intuitive and down-to-earth introduction to current Machine Learning areas, and apply these concepts on interesting and cutting-edge problems. In Detail Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the globe is, “How do I get started in Machine Learning?”. One reason could be attributed to the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This book is a systematic guide teaching you how to implement various Machine Learning techniques and their day-to-day application and development. You will start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The book will introduce you to various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement Regression, Clustering, classification, Neural networks, and more with fun examples. As you get to grips with the techniques, you'll learn to implement those concepts to solve real-world scenarios for ML applications such as image analysis, Natural Language processing, and anomaly detections of time series data. By the end of the book, you will have learned various ML techniques to develop more efficient and intelligent applications. Style and approach This book gives you a glimpse of Machine Learning Models and the application of models at scale using clustering, classification, regression and reinforcement learning with fun examples. Hands-on examples will be presented to understand the power of problem solving with Machine Learning and Advanced architectures, software installation, and configuration.