Books

Dive deep into the world of Hugging Face and unlock the tools you need to create, fine-tune, and deploy state-of-the-art AI models. Part 3 of the Generative AI from Beginner to Paid Professional series is your complete guide to mastering Hugging Face’s powerful ecosystem through practical projects and real-world applications.

This edition includes a deeper exploration of machine learning and natural language processing, which I am excited to share. I have added new chapters on nonlinear models, multivariate techniques, and text analysis. You will find implementations of algorithms like Support Vector Machines, Neural Networks, and Principal Component Analysis, all using Rust's powerful crates such as smartcore, linfa, and tch. These examples prove that Rust is the ideal tool for complex data analysis tasks.

I've written this book with data scientists, machine learning engineers, and AI practitioners in mind. If you're looking for ways to make your workflows faster, more efficient, and less prone to errors, this book is a great resource to have on hand. Together, we'll figure out how to use JAX, fix any problems that come up, and see what's possible with advanced machine learning.

This edition marks a significant shift in PyTorch's approach to optimization, enhancing both performance and flexibility. The introduction of torch.compile() provides a tool that will significantly boost the training and inference speed of models. This update allows developers to maximize the potential of their neural networks without the need to rewrite them from scratch. 

"Unlock the full potential of machine learning with my comprehensive guide to supervised learning! From Multiple Linear Regression to advanced Ensemble techniques like Bagging, Boosting, Stacking, and Blending, this book covers everything you need to build powerful models with confidence. Perfect for beginners and experts alike, dive into clear explanations, practical examples, and essential evaluation metrics that will elevate your machine learning skills to the next level."

Transform your software creation process with AI Driven Development (AIDD). Learn to harness AI to generate programs, unlocking 10x - 20x productivity gains while building components, tests, and documentation. Written for software engineers, product managers, code conjurers and aspiring tinkerers, this book teaches you to express complex functional requirements using natural language with the precision of code, utilizing SudoLang - a language designed specifically for communicating ideas to AI language models. You'll learn to streamline your workflow, reduce code complexity, and craft more intelligent, responsive applications that adapt to user needs.Design and implement AI-powered applications using SudoLang, and any common programming language or framework. Examples will use JavaScript, Next.js, and React.

Unlock the power of AI with "LLM Essentials: A Busy Professional's Guide to Large Language Models." This concise guide demystifies the world of LLMs, offering practical insights for business leaders and innovators. Discover how to leverage these powerful models to transform customer service, streamline content creation, and uncover hidden insights in your data. From ethical considerations to cutting-edge techniques like multimodal LLMs, this book covers it all. With step-by-step guides and real-world examples, you'll learn to implement LLMs in your business, even with limited resources. Don't let the AI revolution pass you by. "LLM Essentials" is your roadmap to harnessing the future of language technology. Get ready to lead your organization into a new era of AI-driven success.

This is part 2 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.

Discover the magic of AI with ease! "ChatGPT for the Layman: Practical Applications and Exercises for Everyday Use" demystifies AI with simple explanations, real-life uses, and hands-on exercises. Learn to draft emails, brainstorm ideas, and boost productivity effortlessly. Join the AI revolution and transform your daily life with ChatGPT today!

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.

JupyterLab, the latest iteration of the Jupyter Notebook, is a versatile tool for sharing code in an easily understandable format. Jupyter Notebooks can be emailed, put on GitHub, or run online. You may also add HTML, images, Markdown, videos, LaTeX, and custom MIME types to your Notebooks. Finally, Jupyter Notebooks support big data integration. JupyterLab 101 will get you up to speed on the newest user interface for Jupyter Notebooks and the other tools that JupyterLab supports. You now have a tabbed interface that you can use to edit multiple Notebooks at once.

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...