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Books
Probability & Statistics
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Lowest new price: $43.51
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List price: $79.99
Author: Gareth James

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, treebased methods, support vector machines, clustering, and more. Color graphics and realworld examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors cowrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and nonstatisticians alike who wish to use cuttingedge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
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 The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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 Machine Learning with R  Second Edition: Expert techniques for predictive modeling to solve all your data analysis problems
 R for Everyone: Advanced Analytics and Graphics (2nd Edition) (AddisonWesley Data & Analytics Series)
 Python Machine Learning: Machine Learning and Deep Learning with Python, scikitlearn, and TensorFlow, 2nd Edition


Barron's AP Statistics, 9th Edition
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Author: Martin Sternstein Ph.D.

This manual's indepth preparation for the AP Statistics exam features the 35 absolutely best AP Statistics exam hints found anywhere, and includes:  A diagnostic test and five fulllength and uptodate practice exams
 All test questions answered and explained
 Additional multiplechoice and freeresponse questions with answers
 A 14chapter subject review, covering all test topics
 A new review chapter highlighting statistical insights into social issues
 a new chapter on the Investigative Task, which counts as oneeighth of the exam
 A guide to basic uses of TI, Casio, and HP graphing calculators
BONUS ONLINE PRACTICE TEST: Students who purchase this book will also get FREE access to one additional fulllength online AP Statistics test with all questions answered and explained.
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
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Author: Hadley Wickham
Brand: Garrett Grolemund Hadley Wickham

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, bigpicture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to:  Wrangle—transform your datasets into a form convenient for analysis
 Program—learn powerful R tools for solving data problems with greater clarity and ease
 Explore—examine your data, generate hypotheses, and quickly test them
 Model—provide a lowdimensional summary that captures true "signals" in your dataset
 Communicate—learn R Markdown for integrating prose, code, and results
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 R for Data Science Import Tidy Transform Visualize and Model Data
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Lowest new price: $46.23
Lowest used price: $44.00
List price: $89.95
Author: Trevor Hastie

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boostingthe first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, nonnegative matrix factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates.
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 The Elements of Statistical Learning Data Mining Inference and Prediction Second Edition Springer Series in Statistics
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Cracking the AP Statistics Exam, 2018 Edition: Proven Techniques to Help You Score a 5 (College Test Preparation)
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List price: $19.99
Author: Princeton Review
Brand: Princeton Review

EVERYTHING YOU NEED TO HELP SCORE A PERFECT 5. Ace the AP Statistics Exam with this comprehensive study guide—including 2 fulllength practice tests with answer explanations, content reviews for all topics, strategies for every question type, and access to online extras via our AP Connect portal.
Written by Princeton Review experts who know their way around stats, Cracking the AP Statistics Exam will arm you to take on the exam and achieve your highest possible score.
Techniques That Actually Work. • Triedandtrue strategies to help you avoid traps and beat the test • Tips for pacing yourself and guessing logically • Essential tactics to help you work smarter, not harder
Everything You Need to Know to Help Achieve a High Score. • Comprehensive content review for all test topics • Uptodate information on the 2018 AP Statistics Exam • Engaging activities to help you critically assess your progress • Access to AP Connect, our online portal for helpful precollege information and exam updates
Practice Your Way to Excellence. • 2 fulllength practice tests with detailed answer explanations • Practice drills at the end of every content review chapter • Stepbystep walkthroughs of how to set up box plots, dot plots, and other statistics graphics
Features:
 Cracking the AP Statistics Exam 2018 Edition Proven Techniques to Help You Score a 5 College Test Preparation
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A Mind for Numbers: How to Excel at Math and Science (Even If You Flunked Algebra)
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Author: Barbara Oakley PhD
Brand: Ingramcontent

The companion book to COURSERA®'s wildly popular massive open online course "Learning How to Learn"
Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, A Mind for Numbers offers the tools you need to get a better grasp of that intimidating material. Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and science courses, before enlisting in the army immediately after graduation. When she saw how her lack of mathematical and technical savvy severely limited her options—both to rise in the military and to explore other careers—she returned to school with a newfound determination to retool her brain to master the very subjects that had given her so much trouble throughout her entire life. In A Mind for Numbers, Dr. Oakley lets us in on the secrets to learning effectively—secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions—you just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laserfocused way until you reach a solution is not an effective way to learn. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over. The learning strategies in this book apply not only to math and science, but to any subject in which we struggle. We all have what it takes to excel in areas that don't seem to come naturally to us at first, and learning them does not have to be as painful as we might think!
Features:
 A Mind for Numbers How to Excel at Math and Science Even If You Flunked Algebra
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Elementary Statistics (13th Edition)
Lowest new price: $126.70
Lowest used price: $95.49
List price: $224.20
Author: Mario F. Triola

Note: You are purchasing a standalone product. Real data brings statistics to life From opinion polls and clinical trials to selfdriving cars, statistics influences and shapes the world around us. Bestselling author Marty Triola is committed to keeping Elementary Statistics relentlessly currentwith an unprecedented amount of uptotheminute real dataso that readers of all backgrounds understand the role of statistics in the world around them. In addition to an abundance of new data sets, examples, and exercises, the 13th Edition is designed to be even more flexible, with the addition of learning objectives as an organizational tool, larger data sets, and new topics in line with advancements in statistics. In addition, readers will find more support in an allnew series of videos, more opportunities for practice, and improved support for statistical software. Elementary Statistics is part of a series that also includes an Essentials version as well as technologyspecific texts, Elementary Statistics Using the TI 83/84 Plus Calculator and Elementary Statistics Using Excel . Data sets and other resources for this series are available at our website.
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Practical Statistics for Data Scientists: 50 Essential Concepts
Lowest new price: $13.46
Lowest used price: $11.44
List price: $39.99
Author: Peter Bruce
Brand: Andrew Bruce Peter Bruce

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn:  Why exploratory data analysis is a key preliminary step in data science
 How random sampling can reduce bias and yield a higher quality dataset, even with big data
 How the principles of experimental design yield definitive answers to questions
 How to use regression to estimate outcomes and detect anomalies
 Key classification techniques for predicting which categories a record belongs to
 Statistical machine learning methods that “learn” from data
 Unsupervised learning methods for extracting meaning from unlabeled data
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The Visual Display of Quantitative Information
Lowest new price: $29.89
Lowest used price: $13.60
List price: $40.00
Author: Edward R. Tufte

The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the highresolution displays, small multiples. Editing and improving graphics. The dataink ratio. Timeseries, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.
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Introduction to Linear Algebra, Fifth Edition
Lowest new price: $92.46
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Author: Gilbert Strang
Brand: CAMBRIDGE UNIVERSITY PRESS

Gilbert Strang's textbooks have changed the entire approach to learning linear algebra  away from abstract vector spaces to specific examples of the four fundamental subspaces: the column space and nullspace of A and A'. This new fifth edition has become more than a textbook for the basic linear algebra course. That is its first purpose and always will be. The new chapters about applications of the SVD, probability and statistics, and Principal Component Analysis in finance and genetics, make it also a textbook for a second course, plus a resource at work. Linear algebra has become central in modern applied mathematics. This book supports the value of understanding linear algebra. Introduction to Linear Algebra, Fifth Edition includes challenge problems to complement the review problems that have been highly praised in previous editions. The basic course is followed by eight applications: differential equations in engineering, graphs and networks, statistics, Fourier methods and the FFT, linear programming, computer graphics, cryptography, Principal Component Analysis, and singular values. Audience: Thousands of teachers in colleges and universities and now high schools are using this book, which truly explains this crucial subject. This text is for readers everywhere, with support from the websites and video lectures. Every chapter begins with a summary for efficient review. Contents: Chap. 1: Introduction to Vectors; Chap. 2: Solving Linear Equations; Chap. 3: Vector Spaces and Subspaces; Chap. 4: Orthogonality; Chap. 5: Determinants; Chap. 6: Eigenvalues and Eigenvectors; Chap. 7: Singular Value Decomposition; Chap. 8: Linear Transformations; Chap. 9: Complex Vectors and Matrices; Chap. 10: Applications; Chap. 11: Numerical Linear Algebra; Chap. 12: Linear Algebra in Probability and Statistics; Matrix Factorizations; Index; Six Great Theorems.
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 CAMBRIDGE UNIVERSITY PRESS
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