Statistics for Machine Learning

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 DESCRIPTION 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 WHO THIS BOOK IS FOR This book is for anyone who wants to understand Statistics and its use in Machine Learning. This book will help you understand the Mathematics behind the Statistical concepts and the applications using the Python language. Having a working knowledge of the Python language is a prerequisite.TABLE OF CONTENTS 1. Introduction to Statistics2. Descriptive Statistics3. Probability4. Random Variables5. Parameter Estimations6. Hypothesis Testing7. Analysis of Variance8. Regression9. Non Parametric Statistics10. Data Analysis using Python11. Introduction to Machine LearningABOUT THE AUTHORSHimanshu Singh is an AI Technology Lead at Legato Healthcare (An Anthem Inc. Company). He has around 7 years of experience in the domain of Machine Learning and Artificial Intelligence. Himanshu is an author of three books in Machine Learning and is a trainer by passion. He is a guest faculty at various institutes like Narsee Monjee Institute of Management Studies IMT Vignana Jyothi Institute of Management.Blog links: https://medium.com/@himanshuit3036LinkedIn Profile: https://www.linkedin.com/in/himanshu-singh-2264a350/