Statistics for Machine Learning by Himanshu Singh [Paperback]

Master Statistical Foundations for Machine Learning with "Statistics for Machine Learning" by Himanshu Singh (Paperback)

Unlock the power of statistics for mastering Machine Learning!

"Statistics for Machine Learning" by Himanshu Singh is your comprehensive guide to understanding the statistical concepts critical for success in Machine Learning. This practical, hands-on book equips you with the essential knowledge to build a solid foundation in both statistics and Python programming – the languages of data science.

What you'll gain from this book:

Conceptual and Mathematical Understanding: Gain a deep grasp of statistical concepts, not just memorizing formulas.

Statistical Applications in Python: Learn how to leverage Python's powerful libraries to implement statistical techniques effectively.

Hypothesis Testing Fundamentals: Master the art of hypothesis testing, a cornerstone of data analysis in Machine Learning.

The Why Behind the What: Understand the significance of statistics in Machine Learning algorithms and their impact on model performance.

Data Processing with Python: Dive into practical data manipulation and analysis techniques using Python.

Non-Parametric Statistics: Explore alternative statistical methods for scenarios where traditional parametric tests fall short.

Introduction to Machine Learning: Get a foundational understanding of Machine Learning concepts to bridge the gap between statistics and practical applications.
Who will benefit from this book:

Machine Learning Beginners: Build a strong statistical foundation to kickstart your Machine Learning journey.

Data Science Enthusiasts: Deepen your understanding of statistics and its role in data analysis.

Python Programmers: Expand your skillset by learning how to apply statistical methods using Python libraries.

Anyone Interested in Machine Learning: Gain valuable insights into the statistical underpinnings of Machine Learning algorithms.

Prerequisites: This book assumes a basic understanding of Python programming.

Table of Contents:

Introduction to Statistics
Descriptive Statistics
Probability
Random Variables
Parameter Estimations
Hypothesis Testing
Analysis of Variance
Regression Analysis
Non-parametric Statistics
Data Analysis using Python
Introduction to Machine Learning

Don't let a shaky foundation in statistics hinder your Machine Learning progress. "Statistics for Machine Learning" by Himanshu Singh is your key to unlocking a deeper understanding and propelling your Machine Learning journey forward!