1. Mastering ChatGPT and Google Colab for Machine Learning
By Rosario Moscato
Are you looking to enhance your machine learning skills? “Mastering ChatGPT and Google Colab for Machine Learning” is an essential guide that combines the power of ChatGPT with Google Colab to automate and streamline AI workflows. This book provides a comprehensive overview of how to leverage these tools in practical scenarios, making complex machine learning tasks manageable and efficient. The hands-on approach ensures that readers not only learn theory but also apply concepts directly, resulting in a deeper understanding of machine learning applications.
![Mastering ChatGPT and Google Colab for Machine Learning](https://m.media-amazon.com/images/I/41aKv8R0uOL._SL500_.jpg)
2. Mastering ChatGPT and Google Colab for Machine Learning (Alternate Edition)
By Rosario Moscato
This alternate edition of “Mastering ChatGPT and Google Colab for Machine Learning” offers a fresh perspective and innovative methods for aspiring data scientists. With a focus on self-paced learning and practical exercises, readers can engage deeply with the content. The real-world projects included in the book provide valuable experience in working with AI tools, making this a must-have resource for anyone eager to advance in the field of machine learning.
![Mastering ChatGPT and Google Colab for Machine Learning](https://m.media-amazon.com/images/I/412OlMd7IAL._SL500_.jpg)
3. Python Programming with Google Colab: A Beginner’s Handbook
By Shashikant Bakre and Priya Gokhale
This beginner-friendly handbook is designed to introduce readers to Python programming within the Google Colab environment. Priced affordably at just $3.00, this book provides clear explanations and step-by-step instructions that are ideal for newcomers. The engaging style and accessible language make it easy for anyone to jump into Python programming, making it a fantastic starting point for budding data scientists and AI enthusiasts.
![Python Programming with Google Colab](https://m.media-amazon.com/images/I/41QXC2gBTKL._SL500_.jpg)
4. Data Science on the Google Cloud Platform
By Valliappa Lakshmanan
This authoritative book on data science leverages the capabilities of the Google Cloud Platform to implement end-to-end data pipelines. Readers will learn how to ingest, process, and analyze data in real time while utilizing powerful machine learning techniques. With detailed case studies, this book serves as an essential resource for data professionals looking to thrive in cloud environments and optimize their workflows.
![Data Science on the Google Cloud Platform](https://m.media-amazon.com/images/I/51Q0l4kzMXL._SL500_.jpg)
5. Machine Learning Based Projects on Google Colab
By Md. Ariful Islam
This book is all about practical learning! “Machine Learning Based Projects on Google Colab” provides readers with 16 hands-on projects that cover the core concepts of machine learning. Each project is designed to deepen understanding through practical application, making it perfect for learners who thrive on doing rather than just reading. Hence, it is a great addition to your learning arsenal.
![Machine Learning Based Projects on Google Colab](https://m.media-amazon.com/images/I/51NV81o8GcL._SL500_.jpg)
6. Learning Python with ChatGPT and Google Colab
By Todd Kelsey
Unlock the secrets of Python programming through a unique collaborative learning journey with ChatGPT! “Learning Python with ChatGPT and Google Colab” is a revolutionary guide aimed at making Python accessible and engaging. By harnessing the capabilities of an advanced AI tutor, this book helps readers learn Python in an enjoyable and efficient way, guaranteeing that learning becomes less daunting.
![Learning Python with ChatGPT and Google Colab](https://m.media-amazon.com/images/I/41szLJe5lBL._SL500_.jpg)
7. State-of-the-Art Deep Learning Models in TensorFlow
By David Paper
This book showcases modern machine learning techniques and how to implement them using TensorFlow within the Google Colab ecosystem. It covers advanced topics that are essential for aspiring machine learning engineers seeking to build real-world applications with cutting-edge deep learning models. This book’s clarity of explanation and well-structured approach make it a top-choice for technical learners.
![State-of-the-Art Deep Learning Models in TensorFlow](https://m.media-amazon.com/images/I/41lMQlLVX-L._SL500_.jpg)
8. Exploring Google Colab
By Henri van Maarseveen
This engaging book explores the origins and modern applications of Google Colab, providing readers with insights into how this platform has revolutionized the accessibility of computational resources. Through various examples and practical applications, this book is a fantastic companion for anyone who wants to maximize their use of Google Colab to explore their data science ambitions.
![Exploring Google Colab](https://m.media-amazon.com/images/I/41K2DBt-iXL._SL500_.jpg)
9. Learning AI with ChatGPT and Google Colab
By Todd Kelsey
This book serves as an excellent entry point for individuals interested in artificial intelligence. “Learning AI with ChatGPT and Google Colab” stands out as it simplifies complex AI concepts, utilizing interactive and engaging methods that make learning both fun and effective. Whether you are an expert or a beginner, this book will arm you with the skills to embark on your AI journey.
![Learning AI with ChatGPT and Google Colab](https://m.media-amazon.com/images/I/514W9UWu3iL._SL500_.jpg)
10. One-Day Python Therapy on Google Colab
By Md. Ariful Islam
If you ever felt overwhelmed with Python programming, “One-Day Python Therapy on Google Colab” is your perfect remedy. This insightful book offers bite-sized sessions that demystify Python, teaching valuable concepts in just one day. Ideal for those short on time but eager to learn, it provides clarity and practical applications to help you confidently navigate Python programming.
![One-Day Python Therapy on Google Colab](https://m.media-amazon.com/images/I/41Z7aL1+aNL._SL500_.jpg)