Python 3 And Machine Learning Using Chatgpt Gpt 4

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Python 3 Using Chatgpt / Gpt-4

Author : Oswald Campesato
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501518739
Total Pages : 202 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 Using Chatgpt / Gpt-4 by : Oswald Campesato

Download or read book Python 3 Using Chatgpt / Gpt-4 written by Oswald Campesato and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-12 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. Later, the book covers loops, conditional logic, and reserved words in Python. You will also see how to handle user input, manage exceptions, and work with command-line arguments. Next, the text transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. The book also sheds light on the capabilities of ChatGPT, its strengths, weaknesses, and potential applications. In addition, you will learn how to generate a variety of Python 3 code samples via ChatGPT using the "Code Interpreter" plugin. Code samples and figures from the book are available for downloading. In essence, the book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently. FEATURES Includes a chapter on how to generate a variety of Python 3 code samples via ChatGPT using the "Code Interpreter" plugin Covers basic concepts of Python 3 such as loops, conditional logic, reserved words, user input, manage exceptions, work with command-line arguments, and more Includes companion files for downloading with source code and figures

Python 3 Using ChatGPT / GPT-4

Author : Oswald Campesato
Publisher : Stylus Publishing, LLC
ISBN 13 : 1501518798
Total Pages : 219 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 Using ChatGPT / GPT-4 by : Oswald Campesato

Download or read book Python 3 Using ChatGPT / GPT-4 written by Oswald Campesato and published by Stylus Publishing, LLC. This book was released on 2023-12-12 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. Later, the book covers loops, conditional logic, and reserved words in Python. You will also see how to handle user input, manage exceptions, and work with command-line arguments. Next, the text transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. The book also sheds light on the capabilities of ChatGPT, its strengths, weaknesses, and potential applications. In addition, you will learn how to generate a variety of Python 3 code samples via ChatGPT using the “Code Interpreter” plugin. Code samples and figures from the book are available for downloading. In essence, the book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently. FEATURES Includes a chapter on how to generate a variety of Python 3 code samples via ChatGPT using the “Code Interpreter” plugin Covers basic concepts of Python 3 such as loops, conditional logic, reserved words, user input, manage exceptions, work with command-line arguments, and more Includes companion files for downloading with source code and figures

Python 3 and Machine Learning Using ChatGPT / GPT-4

Author : Oswald Campesato
Publisher : Stylus Publishing, LLC
ISBN 13 : 1501520172
Total Pages : 304 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 and Machine Learning Using ChatGPT / GPT-4 by : Oswald Campesato

Download or read book Python 3 and Machine Learning Using ChatGPT / GPT-4 written by Oswald Campesato and published by Stylus Publishing, LLC. This book was released on 2024-05-22 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text. FEATURES: Includes practical tutorials designed to provide hands-on experience, reinforcing learning through practice Provides coverage of the latest Python tools using state-of-the-art libraries essential for modern data scientists Companion files with source code, datasets, and figures are available for downloading

Python 3 Data Visualization Using Chatgpt / Gpt-4

Author : Oswald Campesato
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501518801
Total Pages : 314 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 Data Visualization Using Chatgpt / Gpt-4 by : Oswald Campesato

Download or read book Python 3 Data Visualization Using Chatgpt / Gpt-4 written by Oswald Campesato and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-12 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, leading into data visualization using prominent libraries such as Matplotlib. Chapter 6 includes Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. Further, the book covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. Chapter 7 covers information about the main features of ChatGPT and GPT-4, as well as some of their competitors. Chapter 8 contains examples of using ChatGPT in order to perform data visualization, such as charts and graphs that are based on datasets (e.g., the Titanic dataset). Companion files with code, datasets, and figures are available for downloading. From foundational Python concepts to the intricacies of data visualization, this book is ideal for Python practitioners, data scientists, and anyone in the field of data analytics looking to enhance their storytelling with data through visuals. It's also perfect for educators seeking material for teaching advanced data visualization techniques. FEATURES Explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories Contains detailed tutorials that guide you through the creation of complex visuals Tackles actual data scenarios and builds your expertise as you apply learned concepts to real datasets Features data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualization Includes companion files with source code, data sets, and figures

Python 3 Data Visualization Using ChatGPT / GPT-4

Author : Oswald Campesato
Publisher : Stylus Publishing, LLC
ISBN 13 : 1501518852
Total Pages : 310 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 Data Visualization Using ChatGPT / GPT-4 by : Oswald Campesato

Download or read book Python 3 Data Visualization Using ChatGPT / GPT-4 written by Oswald Campesato and published by Stylus Publishing, LLC. This book was released on 2023-12-12 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, leading into data visualization using prominent libraries such as Matplotlib. Chapter 6 includes Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. Further, the book covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. Chapter 7 covers information about the main features of ChatGPT and GPT-4, as well as some of their competitors. Chapter 8 contains examples of using ChatGPT in order to perform data visualization, such as charts and graphs that are based on datasets (e.g., the Titanic dataset). Companion files with code, datasets, and figures are available for downloading. From foundational Python concepts to the intricacies of data visualization, this book is ideal for Python practitioners, data scientists, and anyone in the field of data analytics looking to enhance their storytelling with data through visuals. It's also perfect for educators seeking material for teaching advanced data visualization techniques. FEATURES Explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories Contains detailed tutorials that guide you through the creation of complex visuals Tackles actual data scenarios and builds your expertise as you apply learned concepts to real datasets Features data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualization Includes companion files with source code, data sets, and figures

Gpt-4 for Developers

Author : OSWALD. CAMPESATO
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501519026
Total Pages : 169 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Gpt-4 for Developers by : OSWALD. CAMPESATO

Download or read book Gpt-4 for Developers written by OSWALD. CAMPESATO and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-22 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. Chapter 1 provides an overview of ChatGPT and GPT-4, followed by a chapter which contains Python 3.x code samples for solving various programming tasks in Python. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Companion files with source code and figures are available for downloading. FEATURES Offers an all-encompassing view of ChatGPT and GPT-4, from basics to advanced topics, including functionalities, capabilities, and limitations Contains Python 3.x code samples demonstrating the application of GPT-4 in real-world scenarios Provides a forward-looking perspective on Generative AI and its integration with data visualization and DALL-E Includes companion files with source code, data sets, and figures

Machine Learning for Kids

Author : Dale Lane
Publisher : No Starch Press
ISBN 13 : 1718500572
Total Pages : 290 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis Machine Learning for Kids by : Dale Lane

Download or read book Machine Learning for Kids written by Dale Lane and published by No Starch Press. This book was released on 2021-01-19 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+

Developing Apps with GPT-4 and ChatGPT

Author : Olivier Caelen
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098168062
Total Pages : 299 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Developing Apps with GPT-4 and ChatGPT by : Olivier Caelen

Download or read book Developing Apps with GPT-4 and ChatGPT written by Olivier Caelen and published by "O'Reilly Media, Inc.". This book was released on 2024-07-10 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels. Marie-Alice Blete, a software architect and data engineer in Worldline's R&D department, is interested in performance and latency issues associated with AI solutions.

Developing Apps with GPT-4 and ChatGPT

Author : Olivier Caelen
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 109815245X
Total Pages : 158 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Developing Apps with GPT-4 and ChatGPT by : Olivier Caelen

Download or read book Developing Apps with GPT-4 and ChatGPT written by Olivier Caelen and published by "O'Reilly Media, Inc.". This book was released on 2023-08-29 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools. Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must. You'll learn: The fundamentals and benefits of ChatGPT and GPT-4 and how they work How to integrate these models into Python-based applications for NLP tasks How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more

Java Basics Using Chatgpt/Gpt-4

Author : OSWALD. CAMPESATO
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501518917
Total Pages : 345 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Java Basics Using Chatgpt/Gpt-4 by : OSWALD. CAMPESATO

Download or read book Java Basics Using Chatgpt/Gpt-4 written by OSWALD. CAMPESATO and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-28 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed for those new to Java and interested in understanding how ChatGPT/GPT-4 can enhance programming. It offers a unique approach to learning Java, combining traditional hand-written code with cutting-edge ChatGPT-generated examples. The book covers the basics of Java programming and development environments, including understanding recursion, strings, arrays, fundamental data structures, algorithm analysis, queues and stacks, and follows with the role of ChatGPT in generating, explaining, and debugging code. Companion files with source code and figures available for downloading. It's an essential resource for those starting Java programming and for anyone curious about the applications of ChatGPT in coding. FEATURES Combines hand-crafted Java code with ChatGPT-generated examples for a multifaceted learning experience Offers practical Java coding skills, with examples in recursion, data structures, and algorithm analysis Covers the capabilities of ChatGPT for code generation, debugging, and explanation, providing a modern perspective on programming Includes companion files for downloading with source code and figures

Deep Learning with Structured Data

Author : Mark Ryan
Publisher : Simon and Schuster
ISBN 13 : 163835717X
Total Pages : 262 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Deep Learning with Structured Data by : Mark Ryan

Download or read book Deep Learning with Structured Data written by Mark Ryan and published by Simon and Schuster. This book was released on 2020-12-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Summary Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Here’s a dirty secret: Half of the time in most data science projects is spent cleaning and preparing data. But there’s a better way: Deep learning techniques optimized for tabular data and relational databases deliver insights and analysis without requiring intense feature engineering. Learn the skills to unlock deep learning performance with much less data filtering, validating, and scrubbing. About the book Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you’ll learn how easy it is to set up tabular data for deep learning, while solving crucial production concerns like deployment and performance monitoring. What's inside When and where to use deep learning The architecture of a Keras deep learning model Training, deploying, and maintaining models Measuring performance About the reader For readers with intermediate Python and machine learning skills. About the author Mark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto. Table of Contents 1 Why deep learning with structured data? 2 Introduction to the example problem and Pandas dataframes 3 Preparing the data, part 1: Exploring and cleansing the data 4 Preparing the data, part 2: Transforming the data 5 Preparing and building the model 6 Training the model and running experiments 7 More experiments with the trained model 8 Deploying the model 9 Recommended next steps

Mastering ChatGPT and Google Colab for Machine Learning

Author : Rosario Moscato
Publisher : Orange Education Pvt Ltd
ISBN 13 : 819795349X
Total Pages : 441 pages
Book Rating : 4.1/5 (979 download)

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Book Synopsis Mastering ChatGPT and Google Colab for Machine Learning by : Rosario Moscato

Download or read book Mastering ChatGPT and Google Colab for Machine Learning written by Rosario Moscato and published by Orange Education Pvt Ltd. This book was released on 2024-09-20 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to harness the power of ChatGPT to streamline data analysis, accelerate model development, and unlock innovative solutions to real-world problems. KEY FEATURES ● Step-by-step progression from foundational machine learning concepts to advanced techniques using ChatGPT and Google Colab. ● Clear and detailed instructions for data preparation, model training, and evaluation, simplifying complex machine learning tasks. ● Extensive use of Google Colab for coding and experimentation, providing a real-world platform to apply learned techniques effectively. DESCRIPTION Unlock the future of machine learning by mastering Google Colab, trusted by over 5 million data scientists, and ChatGPT, powering 100 million users worldwide. This book bridges the latest in AI with practical, hands-on applications for data science. With these game-changing tools at your command, you’ll be able to streamline complex workflows, automate tedious tasks, and propel your AI skills to new heights—making machine learning faster, smarter, and more accessible than ever before. Each chapter unfolds a specific aspect of data science and machine learning, seamlessly integrated with ChatGPT’s free version capabilities. The foundational chapters introduce key machine learning concepts, while advanced sections explore topics such as natural language processing, sentiment analysis, and predictive analytics—all illustrated with real-world examples and interactive exercises. The later chapters focus on optimizing tasks using the more powerful paid version of ChatGPT, culminating in the creation of a custom GPT named “Data Scientist” to tackle specialized challenges. Additionally, the book includes a section on best practices, expert tips, and interview questions, making it a comprehensive resource for aspiring data scientists and seasoned professionals alike. WHAT WILL YOU LEARN ● Learn to integrate and optimize ChatGPT and Google Colab for enhanced data science tasks. ● Master techniques for preparing and cleaning data for analysis. ● Gain a solid grasp of statistical concepts essential for data science. ● Learn the processes for training, evaluating, and refining machine learning models. ● Perform data analysis and preprocessing using natural language processing techniques. ● Customize and deploy GPT models for specific data science applications. WHO IS THIS BOOK FOR? This book is ideal for aspiring data scientists and machine learning enthusiasts eager to enhance their skills with ChatGPT and Google Colab. It also serves tech professionals, academics, and business analysts seeking practical insights into AI and data science. A basic understanding of programming, statistics, and data analysis is recommended before diving in. TABLE OF CONTENTS 1. Introduction to ChatGPT 2. ChatGPT for Data Science and Machine Learning 3. Fundamentals of Statistics for Data Science 4. Missing Values and Outliers 5. Relation Between Variables and Charts 6. Data Preparation 7. Training and Evaluation 8. Fine Tuning, Features Selection, and Final Model 9. Data Preparation and Training 10. Fine Tuning and Final Model 11. Data Analysis and Dataset Manipulation (NLP) 12. Sentiment Analysis and Predictions 13. ChatGPT-4 for a Completely Automated Data Science Workload 14. Customizing GPT for Applications 15. Takeaways and Conclusions Index

Python 3 and Feature Engineering

Author : Oswald Campesato
Publisher : Stylus Publishing, LLC
ISBN 13 : 1683929470
Total Pages : 257 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Python 3 and Feature Engineering by : Oswald Campesato

Download or read book Python 3 and Feature Engineering written by Oswald Campesato and published by Stylus Publishing, LLC. This book was released on 2023-12-12 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed for data scientists, machine learning practitioners, and anyone with a foundational understanding of Python 3.x. In the evolving field of data science, the ability to manipulate and understand datasets is crucial. The book offers content for mastering these skills using Python 3. The book provides a fast-paced introduction to a wealth of feature engineering concepts, equipping readers with the knowledge needed to transform raw data into meaningful information. Inside, you’ll find a detailed exploration of various types of data, methodologies for outlier detection using Scikit-Learn, strategies for robust data cleaning, and the intricacies of data wrangling. The book further explores feature selection, detailing methods for handling imbalanced datasets, and gives a practical overview of feature engineering, including scaling and extraction techniques necessary for different machine learning algorithms. It concludes with a treatment of dimensionality reduction, where you’ll navigate through complex concepts like PCA and various reduction techniques, with an emphasis on the powerful Scikit-Learn framework. FEATURES Includes numerous practical examples and partial code blocks that illuminate the path from theory to application Explores everything from data cleaning to the subtleties of feature selection and extraction, covering a wide spectrum of feature engineering topics Offers an appendix on working with the “awk” command-line utility Features companion files available for downloading with source code, datasets, and figures

Transformer, Bert, and Gpt

Author : Oswald Campesato
Publisher : Mercury Learning and Information
ISBN 13 : 9781683928980
Total Pages : 0 pages
Book Rating : 4.9/5 (289 download)

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Book Synopsis Transformer, Bert, and Gpt by : Oswald Campesato

Download or read book Transformer, Bert, and Gpt written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2023-12-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book. FEATURES: Provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Features companion files with numerous code samples and figures from the book.

Google Gemini for Python

Author : Oswald Campesato
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501519743
Total Pages : 203 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Google Gemini for Python by : Oswald Campesato

Download or read book Google Gemini for Python written by Oswald Campesato and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-03-21 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a bridge between the worlds of Python 3 programming and Generative AI, aiming to equip readers with the skills to navigate both domains with confidence. It begins with an introduction to fundamental aspects of Python programming, which include various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. In addition, you will learn about loops, functions, data structures, NumPy, Pandas, conditional logic, and reserved words in Python. Further chapters show how to handle user input, manage exceptions, and work with command-line arguments. The text then transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including Bard (now called “Gemini”) and its competitors, are presented to give readers an understanding of the current AI landscape. The book discusses the capabilities of Bard, its strengths, weaknesses, and potential applications. Finally, you will learn how to generate a variety of Python 3 code samples via Bard.

Transformers for Natural Language Processing

Author : Denis Rothman
Publisher : Packt Publishing Ltd
ISBN 13 : 1803243481
Total Pages : 603 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Transformers for Natural Language Processing by : Denis Rothman

Download or read book Transformers for Natural Language Processing written by Denis Rothman and published by Packt Publishing Ltd. This book was released on 2022-03-25 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: OpenAI's GPT-3, ChatGPT, GPT-4 and Hugging Face transformers for language tasks in one book. Get a taste of the future of transformers, including computer vision tasks and code writing and assistance. Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Improve your productivity with OpenAI’s ChatGPT and GPT-4 from prompt engineering to creating and analyzing machine learning models Pretrain a BERT-based model from scratch using Hugging Face Fine-tune powerful transformer models, including OpenAI's GPT-3, to learn the logic of your data Book DescriptionTransformers are...well...transforming the world of AI. There are many platforms and models out there, but which ones best suit your needs? Transformers for Natural Language Processing, 2nd Edition, guides you through the world of transformers, highlighting the strengths of different models and platforms, while teaching you the problem-solving skills you need to tackle model weaknesses. You'll use Hugging Face to pretrain a RoBERTa model from scratch, from building the dataset to defining the data collator to training the model. If you're looking to fine-tune a pretrained model, including GPT-3, then Transformers for Natural Language Processing, 2nd Edition, shows you how with step-by-step guides. The book investigates machine translations, speech-to-text, text-to-speech, question-answering, and many more NLP tasks. It provides techniques to solve hard language problems and may even help with fake news anxiety (read chapter 13 for more details). You'll see how cutting-edge platforms, such as OpenAI, have taken transformers beyond language into computer vision tasks and code creation using DALL-E 2, ChatGPT, and GPT-4. By the end of this book, you'll know how transformers work and how to implement them and resolve issues like an AI detective.What you will learn Discover new techniques to investigate complex language problems Compare and contrast the results of GPT-3 against T5, GPT-2, and BERT-based transformers Carry out sentiment analysis, text summarization, casual speech analysis, machine translations, and more using TensorFlow, PyTorch, and GPT-3 Find out how ViT and CLIP label images (including blurry ones!) and create images from a sentence using DALL-E Learn the mechanics of advanced prompt engineering for ChatGPT and GPT-4 Who this book is for If you want to learn about and apply transformers to your natural language (and image) data, this book is for you. You'll need a good understanding of Python and deep learning and a basic understanding of NLP to benefit most from this book. Many platforms covered in this book provide interactive user interfaces, which allow readers with a general interest in NLP and AI to follow several chapters. And don't worry if you get stuck or have questions; this book gives you direct access to our AI/ML community to help guide you on your transformers journey!

Grokking Machine Learning

Author : Luis Serrano
Publisher : Simon and Schuster
ISBN 13 : 1617295914
Total Pages : 510 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Grokking Machine Learning by : Luis Serrano

Download or read book Grokking Machine Learning written by Luis Serrano and published by Simon and Schuster. This book was released on 2021-12-14 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you'll build interesting projects with Python, including models for spam detection and image recognition. You'll also pick up practical skills for cleaning and preparing data.