Book picks similar to
Statistical Analysis of Network Data: Methods and Models by Eric D. Kolaczyk
statistics
math
social-networks
networks
Machine Learning Yearning
Andrew Ng
But building a machine learning system requires that you make practical decisions: Should you collect more training data? Should you use end-to-end deep learning? How do you deal with your training set not matching your test set? and many more. Historically, the only way to learn how to make these "strategy" decisions has been a multi-year apprenticeship in a graduate program or company. This is a book to help you quickly gain this skill, so that you can become better at building AI systems.
How Not to Be Wrong: The Power of Mathematical Thinking
Jordan Ellenberg - 2014
In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.
Preparing to Teach in the Lifelong Learning Sector
Ann Gravells - 2008
This includes further education, adult and community learning, work-based learning, the forces and offender learning and skills. It is easy to read with plenty of practical activities and examples throughout and the content is fully linked to the Teacher Training Standards. Please note: This book has since been updated to reflect the new title of the qualification: The Award in Education and Training.The qualification unit content contained in the appendices has since changed, and some legislation mentioned in the book has been updated.
Statistics in a Nutshell: A Desktop Quick Reference
Sarah Boslaugh - 2008
This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts. You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis. Organized into four distinct sections, Statistics in a Nutshell offers you:Introductory material: Different ways to think about statistics Basic concepts of measurement and probability theoryData management for statistical analysis Research design and experimental design How to critique statistics presented by others Basic inferential statistics: Basic concepts of inferential statistics The concept of correlation, when it is and is not an appropriate measure of association Dichotomous and categorical data The distinction between parametric and nonparametric statistics Advanced inferential techniques: The General Linear Model Analysis of Variance (ANOVA) and MANOVA Multiple linear regression Specialized techniques: Business and quality improvement statistics Medical and public health statistics Educational and psychological statistics Unlike many introductory books on the subject, Statistics in a Nutshell doesn't omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests. With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want.
Doing Math with Python
Amit Saha - 2015
Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.
Fundamentals of Physics, Chapters 1 - 21, Enhanced Problems Version
David Halliday - 2000
This newest edition expands on the strengths of earlier versions, helping students bridge the gap between concepts and reasoning. Students are shown, rather than told about, how physics works and are given the opportunity to apply concepts to real-world problems. Each chapter and concept has been scrutinized to ensure clarity, currency, and accuracy while checkpoints, problem solving tactics, and sample problems help students make sense of new concepts. As always, Fundamentals of Physics covers every aspect of basic physics, from force and motion to relativity and will prepare today's students to be tomorrow's scientists.
Business Law
Lee Mei Pheng - 2009
The authors' comprehensive experience in legal practice, banking and teaching have enabled them to provide a condensed and easy to understand coverage of business law principles and areas of interest related thereto.
Introductory Statistics
Prem S. Mann - 2006
The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 6th edition.
Squaddie: A Soldier's Story
Steven McLaughlin - 2006
It exposes the grim reality of everyday soldiering for the 'grunts on the ground'.
After the tragic death of his brother, and in the dark days following 9/11, McLaughlin felt compelled to fulfil his lifelong ambition to serve in the army. He followed his late brother into the elite Royal Green Jackets and passed the arduous Combat Infantryman's Course at the age of 31. Thereafter, McLaughlin found himself submerged in a world of casual violence.
Squaddie is a snapshot of infantry soldiering in the twenty-first century. It takes us into the heart of an ancient institution that is struggling to retain its tough traditions in a rapidly changing world. All of the fears and anxieties that the modern soldier carries as his burden are laid bare, as well as the occasional joys and triumphs that can make him feel like he is doing the best job in the world.
This is an account of army life by someone who has been there and done it.
65 Successful Harvard Business School Application Essays: With Analysis by the Staff of The Harbus, the Harvard Business School Newspaper
Lauren Sullivan - 2009
. . IN 300 WORDS OR LESSIt’s a daunting task. Even the most seasoned professionals find business school application essays to be among the hardest pieces they ever write. With a diverse pool of talented people applying to the nation’s top schools from the most successful companies and prestigious undergraduate programs in the world, a simple biography detailing accomplishments and goals isn’t enough. Applicants need clear and compelling arguments that grab admissions officers and absolutely refuse to let go.To help them write the essays that get them accepted into Harvard or any of the country’s other top programs, the staff of The Harbus---HBS’s student newspaper---have updated and revised their collection of sixty-five actual application essays as well as their detailed analysis of them so that applicants will be able to:* Avoid common pitfalls* Play to their strengths* Get their message acrossWherever they are applying, the advice and tested strategies in 65 Successful Harvard Business School Application Essays give business professionals and undergraduates the insider’s knowledge to market themselves most effectively and truly own the process.
Learn R in a Day
Steven Murray - 2013
The book assumes no prior knowledge of computer programming and progressively covers all the essential steps needed to become confident and proficient in using R within a day. Topics include how to input, manipulate, format, iterate (loop), query, perform basic statistics on, and plot data, via a step-by-step technique and demonstrations using in-built datasets which the reader is encouraged to replicate on their computer. Each chapter also includes exercises (with solutions) to practice key skills and empower the reader to build on the essentials gained during this introductory course.
The Official Guide for GMAT Verbal Review
Graduate Management Admission Council (GMAC) - 2005
This work focuses on the verbal skills necessary to pass the GMAT, with nearly 300 questions and explanations on subjects such as reading comprehension, critical reasoning, sentence correction and analytical writing assesment.
The Amazon Echo Dot User Guide: Newbie to Expert in 1 Hour!: The Echo Dot User Manual That Should Have Come In The Box
Tom Edwards - 2016
From the Number 1 Best Selling authors in Computers and Technology, this clear and concise guide will show you how to get the very best from your new Amazon Echo Dot. Step by step instructions will take you from newbie to expert in just one hour! About the Authors: Tom and Jenna Edwards are the Amazon Tech authors behind the Number 1 Best-selling e-books 250+ Best Kindle Fire & Fire HD Apps and All-New Fire 7 User Guide: Newbie to Expert in 2 Hours!
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
Nate Silver - 2012
He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.
The Code of Extraordinary Change
Steve Errey - 2012
More than a manifesto, The Code of Extraordinary Change cracks life wide open, taking you to a place where you're confident, capable and compelled to get out there and put a you-shaped dent in the universe.Containing a set of principles, ideas and specific actions learned from over 10 years of experience in coaching individuals on being naturally self-confident, the Code is a model for building natural confidence and creating and sustaining meaningful change.Get the Code of Extraordinary Change now and go dent the universe.