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

Dive into the exciting world of Machine Learning with the Practical Handbook of Machine Learning, your ultimate step-by-step guide! Written for engineers, college students (2nd/3rd year), and professionals, this book offers a hands-on approach with live examples and free video lectures to help you master AI and Data Science.

It focuses on explaining core machine learning concepts crucial for real-world applications, providing just enough theory for intuition without overwhelming beginners. With numerous practical tips, hands-on exercises, and online MCQs, this handbook empowers you to learn and apply machine learning effectively on your own.

Key Features:

• Hands-on, Practical Approach: Offers a highly practical learning experience with live examples and step-by-step hands-on exercises that directly illustrate core machine learning concepts.

• Accessible for All Levels: Designed to be easily understood by beginners, college students (2nd/3rd year engineers), self-learning faculty members, and working professionals.

• Concept-Focused Learning: Emphasizes explaining the core concepts of machine learning vital for practical applications, providing sufficient intuition without excessive theoretical detail.

• Integrated Learning Resources:

  • Free Video Lectures: Complementary video lectures for each chapter, accessible via QR codes, enhancing understanding.

  • Online MCQs with Scoring: Multiple-choice questions available online for quick self-assessment and concept testing.

• Practical Tips & Appendices: Includes numerous practical tips throughout the book, along with helpful appendices on Basic Maths and Python Programming to support foundational knowledge.

• AI & Data Science Foundation: Serves as a comprehensive study guide for building a strong foundation in the rapidly growing fields of Artificial Intelligence and Data Science.