From ML Algorithms to GenAI & LLMs: Master ML Algorithms and Generative AI & LLMs with Python from scratch!

Aman Kharwal

Oct 2024 · Bluerose Publishers

About this ebook

From ML Algorithms to GenAI & LLMs, Written by Aman Kharwal, founder of Statso.io, is the second edition of the book - Machine Learning Algorithms: Handbook. This book offers a comprehensive and expanded guide through the evolving world of machine learning and generative AI. Whether you are an experienced data scientist or just starting, this edition delivers practical insights and clear explanations of essential concepts like regression, classification, clustering, deep learning, and time series forecasting.

This edition introduces two new chapters: "Mastering GenAI and LLMs" and "Understanding GANs for Generative AI with a Hands-on Project", which provide deep dives into large language models and generative adversarial networks (GANs). With hands-on Python code snippets and real-world project examples, the book bridges the gap between theory and application, offering you the tools to apply machine learning techniques effectively.

Additional highlights include performance evaluation methods, data preprocessing techniques, feature engineering, and a quick reference appendix for tuning machine learning models. The book equips you with the necessary skills to navigate modern machine learning and AI, which makes it an essential resource for anyone interested in the field.

Ratings and reviews

Really helpful, and the language is also very easy to understand. And whatever details and points have been provided by the author is very helpful and enhances the knowledge. A must buy e-book.

Highly recommended for anyone starting their machine learning journey! This book provide beginner-friendly depth approach with practical example that make complex concepts easy to grasp. The step-by-step explanations and real world projects are great for hands on learning!!

A great guide to the evolving field of machine learning, From ML Algorithms to GenAI & LLMs balances theory with hands-on examples, making it useful for beginners and experts alike. The updated chapters on generative AI add fresh insights, making this a handy resource in the world of AI.

About the author

Aman Kharwal is a data scientist, educator, and founder of Statso.io, a platform dedicated to providing resources and knowledge in data science, machine learning, and artificial intelligence. With a deep passion for empowering individuals through education, Aman has authored several popular books on machine learning, including Machine Learning Algorithms: Handbook and its second edition, From ML Algorithms to GenAI & LLMs. His work breaks down complex topics in a way that is accessible to both beginners and seasoned professionals.

Aman is widely recognized for his ability to make advanced concepts simple and practical, focusing on hands-on learning and real-world applications. His teaching approach blends theory with code-based examples, allowing learners to immediately apply what they’ve learned. Through his books, tutorials, and educational content, Aman has helped countless individuals transition into the world of data science and artificial intelligence.

With an extensive background in the industry, Aman is particularly passionate about the potential of AI, large language models, and generative AI to transform how we work and interact with technology. His dedication to staying at the forefront of the rapidly evolving AI landscape makes him a respected voice in the field by constantly pushing the boundaries of what's possible in data science and AI.