Machine Learning for Decision Sciences with Case Studies in Python

By: S. Sumathi, Suresh Rajappa, L Ashok Kumar, Surekha Paneerselvam

Write A Review

Paperback | 4 October 2024 | Edition Number 1

At a Glance

Paperback
478 Pages

Dimensions(cm)
25.4 x 17.8 x 2.44

Paperback

$243.75

or 4 interest-free payments of $60.94 with

Ships in 15 to 25 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.