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
2019 | ISBN: 1629977047 | English | 313 pages | PDF | 20,7 MB Linear algebra may well be the most accessible of all routes into higher mathematics. It requires little more than a foundation in algebra and geometry, yet it supplies powerful tools for solving problems in subjects as diverse as computer science and
English | 2019 | ISBN: 1470443503 | 575 pages | PDF | 4.25 MB Linear Algebra and Geometry is organized around carefully sequenced problems that help students build both the tools and the habits that provide a solid basis for further study in mathematics. Requiring only high school algebra, it uses elementary geometry to build
English | ISBN: 0859501035 | 2014 | 752 pages | PDF | 64 MB This volume continues the work covered in Core Maths or Mathematics – The Core Course for Advanced Level to provide a full two-year course in Pure Mathematics for A-Level. Download Link
English | ISBN: 0859503062 | 2014 | 768 pages | PDF | 40 MB Designed to meet the Common Core requirements of the University of London Syllabus B, and other similar schemes offered by the major boards, this book incorporates both modern and effective traditional approaches to mathematical understanding. Worked examples and exercises support the
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
English | June 28th, 2019 | ISBN: 1260452921 | 448 pages | EPUB | 20.19 MB A UNIQUE NEW APPROACH THAT’S LIKE A LIGHTNING BOLT TO THE BRAIN You know that moment when you feel as though a lightning bolt has hit you because you finally get something? That’s how this book will make you
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
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
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
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
Course Preview What you’ll learn You’ll master a range of algebra techniques You’ll use algebra to solve a range of Math problems You’ll be ready to take more advanced Math courses such as Algebra 2 and Pre-Calculus You’ll be able to use algebra in other subjects – science, economics, geography etc Requirements You should have
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
:: 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