Books

Unlock the power of linear algebra in your data science projects! "Linear Algebra Essentials for Data Scientists" dives into the key concepts driving data analysis and machine learning. With clear explanations, practical Python examples, and hands-on exercises, this book is your gateway to mastering the mathematical foundations of data science.

Unleash the power of autonomous systems with "The Intelligent Agent Playbook." From cutting-edge AI techniques to real-world applications, this comprehensive guide is your roadmap to mastering the art and science of intelligent agents. Get ready to revolutionize your understanding of autonomy in just one read.

"Embrace Generative AI or expect to say 'huh?' a lot" ~ The author

This is part 1 of my 3-part training guide on how to build self-driving cars from scratch. This guide is bundled with a repository containing simulations, python scripts, graphics, and other useful assets . In this step-by-step guide, I’ll teach you how to make an app that you can use to create a simulation where cars learn how to drive autonom...

I've always wanted to write a technical book. My interest in AI and Spring led me to explore, take notes, and contribute to the Spring AI project. This journey naturally progressed into sharing my knowledge through a book as my notes expanded. Spring AI for Your Organization offers a clear guide for integrating Spring AI with Google Vertex AI. It's ideal for both seasoned backend developers and newcomers, aiming to enhance your skills and understanding of AI in development. The book covers a range of topics from chatbots to advanced AI features, providing step-by-step instructions for using GCP Vertex AI. Dive into this comprehensive guide and start building smarter Spring applications today.

Quanto c’è di vero nelle altisonanti affermazioni sull’Intelligenza Artificiale?Come sconfessare la retorica dei tecnosciovinisti con argomentazioni intuitive e convincenti?Non cedere al sortilegio della Stregoneria Digitale è consigliabile non solo al profano, ma anche all'esperto del settore.

This book is meant to discover how the language Rust, which is known for being fast and safe, can work with the constantly changing field of machine learning, neural networks and deep learning. The datasets of COVID, CIFAR-10 and practical examples are meant to show how Rust's features can be used to solve problems that come up in machine learning.

Explore Python basics, AI integration for real-world application and the power of Python in AI with practical machine learning and deep learning techniques.

Decoding Artificial Intelligence stands as a testament to the profound expertise and passion of its author, Pabitra Banerjee.

This book is a journey that takes you from the foundational basics to the advanced techniques, with real-world examples and datasets at every turn. What sets this book apart is its focus on the challenges and intricacies of building and fine-tuning neural networks. You'll learn to build these networks and also to make them efficient and effective.

Unlock the transformative power of AI in pair programming with P-AI-R Programming. Discover how tools like GitHub Copilot and ChatGPT can revolutionize your development workflow. This guide is your gateway to enhanced productivity, creativity, and team efficiency. A new era of software development awaits!

Unlock the power of YOLOv8 with this comprehensive guide. Learn to train, detect, and recognize license plates using Python, OpenCV, and computer vision. Ideal for Python programmers, OpenCV enthusiasts, and anyone eager to enhance object detection skills. Get hands-on with code examples, step-by-step tutorials, and build an end-to-end ANPR system.

Unleash the full power of ChatGPT in your life and work with "ChatGPT: the AI Appliance". Dive deep into the AI that's changing the digital landscape and learn how the "black box" mindset can help you with prompt engineering, response evaluation, and more. Turn the "black box" into your personal toolkit for success!

"Parallel Python with Dask" is not just a book for Python developers or data scientists. It's for anyone who wants to unlock the potential of parallel computing, whether you are a student, researcher, or professional. It also covers advanced topics like fault tolerance and scaling, essential for building robust and scalable parallel applications.