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portada Decoding Machine Learning. Understanding algorithms through math and Python implementation
Type
Physical Book
Publisher
Author
Year
2026
Language
English
Pages
332
Format
Paperback
Dimensions
23.50 x 19.10 cm
ISBN13
9789378547263

Decoding Machine Learning. Understanding algorithms through math and Python implementation

Meetu Malhotra;Rajeev Kumar (Author) · BPB Publications · Paperback

Decoding Machine Learning. Understanding algorithms through math and Python implementation - Meetu Malhotra;Rajeev Kumar

New Book Imported to Taiwan
Delivery: 08 Sep - 16 Sep Shipping: 5 to 6 business days.
NT$ 1,477
NT$ 1,477

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Synopsis "Decoding Machine Learning. Understanding algorithms through math and Python implementation"

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.

By the end of this book, readers will be able to move confidently from raw data to working models. They will possess practical skills in data preparation, model building, evaluation, and optimization, giving them the confidence to solve complex, data-driven software engineering problems in real-world scenarios.

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