Series:

MLI Generative AI

8 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