Books

·        Comprehensive Learning Path: The book starts with basics and gradually leads you to advanced topics, making it accessible for beginners and challenging for advanced learners.·        Contextual AI Applications: Every concept is illustrated with AI and ML examples, ensuring relevance and immediate applicability.·        Enhanced Understanding of AI Models: Knowing data structures like trees and graphs clarifies how decision trees or knowledge graphs operate internally, boosting your model-building skills.·        Algorithm Efficiency Awareness: Understanding algorithm complexity and heuristics allows you to write optimized AI programs that can handle large datasets and real-time processing.·        Practical Coding Exercises: With implementations in Python, you will develop a coding mindset essential for AI practitioners.·        Preparation for Research and Development: The book equips you to contribute to AI research and innovate new algorithms or improve existing ones.

An introduction to actor-critic algorithms as dynamical systems: featuring hand-computable examples, fast-slow reductions, and machine-checked Lean 4 proofs

A practical interview reference covering Modern C++ language features, STL usage, concurrency, and performance (553 manuscript pages).

Master the future of technology with this definitive guide to Modern Data Science. Unlock actionable insights through Analytics, Machine Learning, and Big Data strategies. Perfect for beginners and pros wanting a logic-first approach to data-driven decision making.

Stop being a syntax typist. Master Clean Code Architecture and Algorithmic Thinking to become a professional Software Architect in 2026. This blueprint teaches you to build Scalable Systems using Binary Logic, Big O Notation, and proven Software Engineering Patterns. Perfect for the modern Backend Developer, self-taught coder, and Tech Entrepreneur looking to design high-performance software from scratch.

Learn Python step by step with a practical workbook designed for absolute beginners. This book combines clear explanations, visual flowcharts, exercises, and hands-on coding projects to help you understand programming from the ground up.

This book introduces students to the fundamentals of Python programming through a structured and practical learning approach. Designed for beginners, the book focuses on problem solving, algorithms, and core programming concepts using clear explanations and hands-on exercises. Readers will learn how to build Python programs step by step while developing computational thinking skills.

Crack mobile coding interviews by mastering patterns instead of memorization. This book teaches you how to quickly recognize interview problems and solve them confidently using reusable Swift and Kotlin templates, exactly the way top iOS and Android candidates do. If you want to think clearly, code fast, and explain your solutions under pressure—this book is for you.

In this book, you'll see that the book is designed with one main idea. It aims to give you the skills, confidence and understanding you need to build and deliver real Backend systems. Each chapter is designed to teach you everything you need to know to get hands-on with writing, configuring, deploying and troubleshooting your own projects. Right at the start, we got stuck into designing APIs and building backend systems. We didn't just stick to the basics, though. We went beyond that pretty quickly and started using modern protocols like gRPC and the key contract-first methods that are now the norm for scalable backend systems.

Low level is a term that confuses people. People think something high level is better than low level. In simple terms, humans consider themselves superior to machines and therefore think themselves higher or more important because of their abstract though. A computer thinks only in terms of numbers. A computer may not understand "high level" abstractions such as love, religion, philosophy, etc, but that is not its job. A computer must add, subtract, multiply, and divide. These are the four arithmetic functions which many human struggle to do. I wrote this book because I think like a machine and I hope to help others think this way because it is the best way to learn programming and control your computer by writing Assembly Language programs or to go back to your favorite programming language with a greater understanding of why things work as they do.

Discover how modern web scraping goes beyond simple scripts. Learn to extract, automate, and transform data from dynamic websites using Python, Playwright, undetected-chromedriver, Chrome DevTools MCP, and AI tools. Packed with hands-on examples and expert tips, this book shows you how to build ethical, scalable, and intelligent scraping workflows that turn raw web content into actionable insights.

This book presents a modern approach to system identification and adaptive control through the lens of online machine learning. It bridges theory and practice, guiding readers from classical linear control to advanced nonlinear adaptive methods with MATLAB examples. Designed for students, researchers, and engineers, it provides the knowledge and tools to design intelligent control systems for real-world applications.

Take your first step into the world of data mining! This beginner-friendly guide blends theory and practice, covering classification, clustering, decision trees, and parallel computing with MPI. Perfect for students, researchers, and educators.

Unlock the secrets to skyrocketing website traffic, mastering SEO, and dominating Google’s first page with practical strategies, expert insights, and long-term growth techniques.