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Building Machine Learning Systems Using Python
Author: Deepti Chopra
Brand: BPB Publications
ISBN: 9789389423617-
₹949
Description of product
This book covers basic concepts of Machine Learning, various learning paradigms, different architectures and algorithms used in these paradigms.
You will learn the power of ML models by exploring different predictive modeling techniques such as Regression, Clustering, and Classification. You will also get hands-on experience on methods and techniques such as Overfitting, Underfitting, Random Forest, Decision Trees, PCA, and Support Vector Machines. In this book real life examples with fully working of Python implementations are discussed in detail.
At the end of the book you will learn about the unsupervised learning covering Hierarchical Clustering, K-means Clustering, Dimensionality Reduction, Anomaly detection, Principal Component Analysis.
Key Features
? Extensive coverage of real examples on implementation and working of ML models.
? Includes different strategies used in Machine Learning by leading data scientists.
? Focuses on Machine Learning concepts and their evolution to algorithms. Relevant Links: Wolters Kluwer India Pvt Ltd Products Online, Common Law Admission Test Books Online, Ultimate Productivity Books Online, Du Bcom 1St Year Financial Accounting 10 Prev Year Solved Papers Books Online, Kabir Chaura Books Online, Robust Control Design With Matlab Books Online, Super Diaper Baby 02 The Invasion Of The Potty Snatchers Books Online, Video Mariamman And Other Stories Books Online, Vyakaran Latika 2 Hindi Paperback Books Online
You will learn the power of ML models by exploring different predictive modeling techniques such as Regression, Clustering, and Classification. You will also get hands-on experience on methods and techniques such as Overfitting, Underfitting, Random Forest, Decision Trees, PCA, and Support Vector Machines. In this book real life examples with fully working of Python implementations are discussed in detail.
At the end of the book you will learn about the unsupervised learning covering Hierarchical Clustering, K-means Clustering, Dimensionality Reduction, Anomaly detection, Principal Component Analysis.
Key Features
? Extensive coverage of real examples on implementation and working of ML models.
? Includes different strategies used in Machine Learning by leading data scientists.
? Focuses on Machine Learning concepts and their evolution to algorithms. Relevant Links: Wolters Kluwer India Pvt Ltd Products Online, Common Law Admission Test Books Online, Ultimate Productivity Books Online, Du Bcom 1St Year Financial Accounting 10 Prev Year Solved Papers Books Online, Kabir Chaura Books Online, Robust Control Design With Matlab Books Online, Super Diaper Baby 02 The Invasion Of The Potty Snatchers Books Online, Video Mariamman And Other Stories Books Online, Vyakaran Latika 2 Hindi Paperback Books Online
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| Brand | BPB Publications |
