English | March 28th, 2019 | ISBN: 0241398630 | 448 pages | EPUB | 7.58 MB Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as
English | April 2nd, 2018 | ISBN: 1119439191 | 352 pages | EPUB | 7.12 MB AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS PROSE Award Finalist 2019 Association of American Publishers Award for Professional and Scholarly Excellence Machine Learning: a Concise Introduction offers a comprehensive introduction to the core
Created by Shubham Kalra | Video: 1280×720 | Audio: AAC 48KHz 2ch | Duration: 9.5 hours | Lec: 116 | 1.00 GB | Language: English | Sub: English [Auto-generated] 60+ solved questions to help you get into the flow of cracking statistics problems (Binomial,Normal Distribution etc) What you’ll learn Understand the step by step approach
Maria Dolores Ugarte (et al.) | 2016 | ISBN: 1466504390 | English | 983 pages | PDF | 15 MB Cohesively Incorporates Statistical Theory with R Implementation Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for
English | ISBN: 1119300819 | 2019 | 500 pages | PDF | 5 MB Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used