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Decoding Machine Learning: Understanding algorithms through math and Python implementation

Decoding Machine Learning: Understanding algorithms through math and Python implementation


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About the Book

The book systematically covers foundational to advanced data science concepts through structured programming implementations. It begins with machine learning fundamentals and exploratory data analysis using NumPy and Pandas, then covers the math behind supervised algorithms like linear regression and unsupervised clustering techniques like K-means. You will master ensemble learning architectures like XGBoost, time series forecasting with FBProphet, automated hyperparameter optimization using the Optuna framework, and imbalanced data corrections via SMOTE. The book concludes with a specialized bonus chapter that breaks down the math behind multi-head self-attention mechanisms and fine-tuning strategies within large language model transformer architectures using the Hugging Face ecosystem.

About the Author :
Meetu Malhotra is a PhD researcher and data analytics principal, with over 17 years of experience in AI, machine learning, and enterprise analytics across global industries. She has a master’s degree in data science from the University of North Carolina at Charlotte and is an active contributor to the community through publications, peer review, technical books, and international speaking engagements. A senior member of IEEE, she is recognized for expertise in applying AI to real-world, large-scale systems. Rajeev Kumar is a seasoned technologist with over 20 years of Industry experience across engineering, architecture, and program management, having delivered complex technology solutions for multiple clients spanning diverse industries, including retail, finance, and healthcare. A recognized subject matter expert in AI and observability, he has spent two decades working with cutting-edge technologies, designing and scaling systems that are performant, reliable, and built for the demands of modern enterprise. An active member of IEEE and ACM and an independent researcher, he brings a rigorous, well-rounded perspective to the intersection of intelligent systems, reliability, and scalability.


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Product Details
  • ISBN-13: 9789378547263
  • Publisher: BPB Publications
  • Publisher Imprint: BPB Publications
  • Height: 235 mm
  • No of Pages: 332
  • Returnable: N
  • Returnable: N
  • Width: 191 mm
  • ISBN-10: 9378547265
  • Publisher Date: 31 Mar 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Sub Title: Understanding algorithms through math and Python implementation


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Decoding Machine Learning: Understanding algorithms through math and Python implementation
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