Practical Handbook of Machine Learning | Step-by-Step AI & Data Science Study Guide for Beginners, College Students & Software Professionals | Includes Hands-on Exercises & Free Video Lectures | Build AI Solutions

Unlock the world of Artificial Intelligence and Data Science with the "Practical Handbook of Machine Learning"! Written by Subhrajit Bhattacharyya & Sujit Bhattacharyya, this study guide provides a unique hands-on approach with live examples to make machine learning accessible to everyone.

It's the perfect resource for beginners, college students in their second or third year, software professionals, and faculty members who want to master this exciting field on their own.

The book focuses on explaining the core concepts that are crucial for real-world applications. It covers enough theoretical aspects to give you a strong intuition for how machine learning works, but without getting bogged down in overwhelming details.

With step-by-step hands-on exercises and free video lectures after each chapter (accessible via QR code), this guide is built for practical application. It's not just about theory; it's about helping you build tangible AI solutions.

Key Features:

• Hands-On Learning: Provides a practical, step-by-step approach with live examples and hands-on exercises to build real-world AI solutions.

• Accessible for All: Written for a broad audience, including college students, professionals, faculty members, and beginners, making it an ideal resource for self-learning.

• Supporting Resources: Includes practical tips, appendices on essential Maths and Python programming, and complementary video lectures for each chapter via QR code.

• Targeted Conceptual Focus: Concentrates on application-oriented concepts and provides just enough theory to build intuition without overwhelming the reader.

• Self-Assessment Tools: Features online multiple-choice questions with a scoring system for a quick and effective test of conceptual understanding.

• Authored by Experts: Written by Subhrajit Bhattacharyya & Sujit Bhattacharyya, ensuring authoritative and reliable content.