Statistics for Machine Learning: Implement Statistical methods used in Machine Learning using Python (English Edition)
Author: Himanshu Singh
Publisher finelybook 出版社: BPB Publications (January 15,2021)
Language 语言: English
Print Length 页数: 278 pages
ISBN-10: 9388511972
ISBN-13: 9789388511971
Book Description
By finelybook
A practical guide that will help you understand the Statistical Foundations of any Machine Learning Problem.
Key Features
Develop a Conceptual and Mathematical understanding of Statistics
Get an overview of Statistical Applications in Python
Learn how to perform Hypothesis testing in Statistics
Understand why Statistics is important in Machine Learning
Learn how to process data in Python
This book talks about Statistical concepts in detail,with its applications in Python. The book starts with an introduction to Statistics and moves on to cover some basic Descriptive Statistics concepts such as mean,median,mode,etc. You will then explore the concept of Probability and look at different types of Probability Distributions. Next,you will look at parameter estimations for the unknown parameters present in the population and look at Random Variables in detail,which are used to save the results of an experiment in Statistics. You will then explore one of the most important fields in Statistics – Hypothesis Testing,and then explore various types of tests used to check our hypothesis. The last part of our book will focus on how you can process data using Python,some elements of Non-parametric statistics,and finally,some introduction to Machine Learning.
What you will learn
Understand the basics of Statistics
Get to know more about Descriptive Statistics
Understand and learn advanced Statistics techniques
Learn how to apply Statistical concepts in Python
Understand important Python packages for Statistics and Machine Learning
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