Introduction to Probability and Statistics Metric Edition
- Length: 744 pages
- Publication Date: 2018-12-14
Python for Data Science: The Ultimate Step-by-Step Guide to Python Programming. Learn How to Master Big Data and their Analysis and Understand Machine Learning
- Length: 110 pages
- Publication Date: 2021-02-16
Getting Started with SAS Programming: Using SAS Studio in the Cloud
- Length: 363 pages
- Publication Date: 2021-02-24
Experiments: Planning, Analysis, and Optimization, 3rd Edition
- Length: 784 pages
- Publication Date: 2021-02-09
Bayes’ Rule With R: A Tutorial Introduction to Bayesian Analysis
- Length: 186 pages
- Publication Date: 2016-05-26
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
- Length: 330 pages
- Publication Date: 2021-02-22
Statistics: A Concise Mathematical Introduction for Students, Scientists, and Engineers
- Length: 184 pages
- Publication Date: 2020-07-13
Predictive Analytics: Parametric Models for Regression and Classification Using R
- Length: 384 pages
- Publication Date: 2020-09-23
Direction Dependence in Statistical Models: Methods of Analysis
- Length: 432 pages
- Publication Date: 2020-12-03
Business Intelligence and Modelling: Unified Approach with Simulation and Strategic Modelling in Entrepreneurship
- Length: 558 pages
- Publication Date: 2021-02-01
Think Bayes: Bayesian Statistics in Python, 2nd Edition
- Length: 300 pages
- Publication Date: 2021-09-14