Series:

MLI Generative AI

14 total works

Cover of Transformer, Bert, and Gpt

Transformer, Bert, and Gpt

by Oswald Campesato

Published 15 November 2023

Cover of Python 3 Data Visualization Using ChatGPT / GPT-4

Cover of Python 3 Using ChatGPT / GPT-4

Cover of Gpt-4 for Developers

Gpt-4 for Developers

by Oswald Campesato

Published 15 December 2023

Cover of Java Basics Using Chatgpt/GPT-4

Cover of Python 3 Data Visualization Using Google Gemini

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 enhance their 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

Cover of Google Gemini for Python

Google Gemini for Python

by Oswald Campesato

Published 21 March 2024
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.

Cover of Python 3 and Machine Learning Using ChatGPT / GPT-4
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 datavisualization. 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

Cover of CSS3 and SVG with Gemini
This book is designed to equip you with the knowledge and skills necessary to navigate the intersection of web development and artificial intelligence (AI). It covers various aspects of modern web development and AI technologies, with a particular emphasis on Generative AI, CSS3, SVG, JavaScript, HTML, and popular web features like 3D animations and gradients. By exploring these topics, readers will gain a deeper understanding of how AI can enhance web development processes and how to leverage AI models like Google Gemini to streamline development workflows. Web developers, UI/UX designers, and software engineers seeking to blend traditional web development skills with the latest AI technologies will find this book to be a valuable resource.

Cover of CSS3 and SVG with Claude 3

CSS3 and SVG with Claude 3

by Oswald Campesato

Published 17 September 2024

Cover of CSS3 and SVG with Perplexity
This book provides an introduction to generative AI and how to use Perplexity to generate graphics code using various combinations of HTML, CSS3, and SVG. It covers various aspects of modern web development and AI technologies, with a particular emphasis on Generative AI, CSS3, SVG, JavaScript, HTML, and popular web features like 3D animations and gradients. By exploring these topics, readers will gain a deeper understanding of how AI can enhance web development processes and how to leverage AI models like Perplexity to streamline development workflows. Web developers, UI/UX designers, and software engineers seeking to blend traditional web development skills with the latest AI technologies will find this book to be a valuable resource.

Cover of Large Language Models

Large Language Models

by Oswald Campesato

Published 17 September 2024

Cover of CSS3 and SVG with Meta AI

CSS3 and SVG with Meta AI

by Oswald Campesato

Published 15 November 2024

Cover of Beginning Python 3 with Grok 2
This book is a comprehensive guide designed to teach the fundamentals of Python programming while introducing the exciting possibilities of Generative AI. Whether you’re a novice or a developer looking to integrate Grok into your workflow, this book offers a clear, step-by-step path to mastering Python and leveraging AI-driven code generation. It begins by covering Python fundamentals, including data types, string manipulation, loops, conditional logic, and exception handling. It then introduces Python collections, such as lists, dictionaries, and sets, along with their practical applications. Readers will explore essential Python libraries like NumPy and Pandas, learning how to manipulate data and perform advanced operations. The last two chapters cover Generative AI and Grok, distinguishing it from conversational AI and provides hands-on examples of Grok-generated Python code to solve various programming tasks. Readers will find a balanced mix of theory, practical examples, and Grok-generated code to build both foundational programming skills and an understanding of AI-driven development.
FEATURES
• Covers Python programming basics and popular libraries like NumPy and Pandas, with a focus on practical applications
• Introduces Generative AI concepts and Grok, showcasing its use in generating Python code
• Includes companion files with code and images -- available from the publisher for downloading (with proof of purchase)