What statistics books would you recommend for an undergraduate student who wants to be a machine learning engineer?

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I'm an undergraduate software engineering student and I will be taking a statistics course in this semester. I was thinking of buying a statistics textbook such as Probability and Statistics for Engineers and Scientists by Jay Devore, then I came across with some statistics books for programmers and data scientists.

1-) Think Stats: Probability and Statistics for Programmers

2-) Think Bayes: Bayesian Statistics in Python

3-) Practical Statistics for Data Scientists: 50+ Essential Concepts

I want to learn statistics for improving my understanding of machine learning. Which books would you recommend for that purpose ?

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The following book on Statistical Methods might be of help for you. It covers the following contents and uses R software in carrying out statistical tests

Descriptive Statistical Tools
Probability and Probability Distributions
Sampling
Estimation and Statistical Inference Analysis of Variance
Correlation and Regression
Sensitivity, Specificity, Predictive value, risk & odds ratio and ROC curve 87 Bayesian and Frequentist approach to Statistics Non Parametric Tests
Advanced Statistical Models

Title : Introduction to Statistical Methods ISBN: 9798629947158