Machine Learning for Decision Sciences With Case Studies in Python
Author: S Sumathi,Surekha Paneerselvam,Suresh V Rajappa,L Ashok Kumar(Author)
Publisher finelybook 出版社: CRC Pr I Llc (July 8, 2022)
Language 语言: English
Print Length 页数: 454 pages
ISBN-10: 1032193565
ISBN-13: 9781032193564
Book Description
This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.
Features:
Explains the basic concepts of Python and its role in machine learning.
Provides comprehensive coverage of feature engineering including real-time case studies.
Perceives the structural patterns with reference to data science and statistics and analytics.
Includes machine learning-based structured exercises.
Appreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learning.
This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.
