Grokking AI Algorithms, Second Edition: How AI solves complex problems by Rishal Hurbans

Grokking AI Algorithms, Second Edition: How AI solves complex problems by Rishal Hurbans

The core philosophy of Grokking AI Algorithms is that if you can visualize a concept, you can program it. Hurbans addresses a massive structural problem in computer science education: most machine learning and AI literature drops readers directly into a sea of dense multivariable calculus, linear algebra, and complex greek notation ($W^T X + b$). For many self-taught software engineers and system developers, this dense theoretical barrier turns practical engineering into a black box. This book solves that issue by breaking down advanced computational logic into clear, relatable concepts—like comparing a neural network's weights to adjusting knobs on an audio mixer.

Rather than treating AI as a synonym for Large Language Models, the second edition explores the full spectrum of artificial intelligence. It takes developers on a journey through foundational search algorithms, evolutionary computing, swarm intelligence, optimization routines, and deep neural networks. By showing readers how to build these complex engines from scratch using standard Python code (without hiding behind monolithic cloud APIs), Hurbans transforms abstract data patterns into tangible, line-by-line coding logic.

As our regional software export firms, tech startups, and university computing departments push to upgrade their skills for the international AI market, developers are hitting a major academic wall. Many local programmers want to expand their expertise into machine learning, but they feel discouraged by dry, math-heavy textbooks that offer little guidance on how to write actual code.

Grokking AI Algorithms (2nd Edition) provides the perfect, visual remedy for this training gap. Rishal Hurbans skips academic pretense to deliver an incredibly accessible, project-driven masterclass. By laying out clear, visual blueprints for pathfinding routines, evolutionary computing, and neural network mechanics using plain Python, this book equips system developers, full-stack engineers, and tech leads with the fundamental expertise needed to confidently build intelligent applications. It is a mandatory addition to the desk of any modern programmer.

Language: English.

Genre: Artificial Intelligence Foundations.

Binding: সেলাই করা বাইন্ডিং

Quality: Premium Quality Books.

Printing: High Quality Printing.

Paper: Eye Friendly paper (Cream White)

Cover: Matt cover (Paperback).