Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks

Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks

E- BookBayesian StatisticsMathematicsProbability

English | July 16th, 2019 | ISBN: 1593279566 | 256 pages | EPUB (True/Retail Copy) | 22.22 MB Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples. Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don’t even understand, meaning

Machine Learning: a Concise Introduction

Machine Learning: a Concise Introduction (Wiley in Probability and Statistics)

E- Bookmachine learningMathematicsProbabilityprogrammingstatistics

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

Computer Mathematics

Computer Mathematics

E- BookcomputerMathematicsprogramming

English | January 30th, 2019 | ISBN: 1773614053 | 268 pages | True PDF | 25.57 MB Computer mathematics examines various aspects of mathematics including an extensiveoverview of computational mathematics. It includes definitions of predictable phenomena,theory of models and of groups, programming models, introduction to formalcomputer-aided proof, theory of the demonstration, working group on core

Combinatorics: A Problem-Based Approach

[Ebook] – Combinatorics: A Problem-Based Approach

E- BookA problem Based ApproachCombinatoricsMathematics

English | ISBN: 3030008304 | 2019 | 365 pages | PDF, EPUB | 21 MB This text provides a theoretical background for several topics in combinatorial mathematics, such as enumerative combinatorics (including partitions and Burnside’s lemma), magic and Latin squares, graph theory, extremal combinatorics, mathematical games and elementary probability. A number of examples are given

[Udemy] – Permutations & Combinations Tricks (Math Precalculus Course)

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Course Preview What you’ll learn You will be able to apply logic and verbal reasoning in solving challenging problems of Permutations and Combinations. You will be able to apply P(n, r) & C(n, r) formulas in Probability. You will be able to get complete understanding of the Topics Permutations and Combinations. Course will help the

[TTC] – An Introduction to Formal Logic (The Great Courses)

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Course Preview What Will You Learn? Become familiar with common logical fallacies such as circular reasoning, slippery slope, and causal oversimplification.  Examine what makes deductive arguments valid. Use truth tables to test the validity of famous forms of argument called modus ponens and affirming the consequent.  Follow the work of Hilbert, Cantor, Frege, Russell, and

[Udemy] – Become a Probability & Statistics Master

previous site postsMathematicsProbabilitystatistics

Course Preview What you’ll learn Visualizing data Analyzing data Data distributions Probability Discrete random variables Sampling Hypothesis testing   Requirements Fundamentals of math Basic algebra  Description HOW BECOME A PROBABILITY & STATISTICS MASTER IS SET UP TO MAKE COMPLICATED MATH EASY This 125-lesson course includes video explanations of everything from Probability & Statistics, and it includes more than

[] – Mathematics Courses

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  :: CONTENT LIST ::   Educator – College Calculus I (Jenny Switkes) Educator – Linear Algebra (Raffi Hovasapian) Educator – Multivariable Calculus (Raffi Hovasapian) Educator – Algebra 2 (Dr Carleen Eaton) Educator – Algebra 1 (Dr Carleen Eaton) Educator – College Calculus II (William Murray) Educator – Mathematics: Basic Math Educator – Trigonometry