Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning..
A groundbreaking look at the NSA surveillance scandal, from the reporter who broke the story, Glenn Greenwald, star of Citizenfour, the Academy Award-winning documentary on Edward Snowden
In May 2013, Glenn Greenwald set out for Hong Kong to meet an anonymous source who claimed to have astonishing evidence of pervasive government..
NEW YORK TIMES BESTSELLER • A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric—with a new afterword
“A manual for the twenty-first-century citizen . . . relevant and urgent.”—Financial Times
From the bestselling author of Buyology comes a shocking insider’s look at how today’s global giants conspire to obscure the truth and manipulate our minds, all in service of persuading us to buy.
Marketing visionary Martin Lindstrom has been on the front lines of the branding wars for over twenty years. Here,..
UPDATED FOR THE 2016 ELECTION
The book Politico calls “Moneyball for politics” shows how cutting-edge social science and analytics are reshaping the modern political campaign.
Renegade thinkers are crashing the gates of a venerable American institution, shoving aside its so-called wise men and replacing..
NEW YORK TIMES BESTSELLER • With new information on crunching your own numbers to get the edge the experts have
An international sensation—and still the talk of the relevant blogosphere—this Wall Street Journal and New York Times business bestseller examines the “power” in numbers...
If you're at the beginner stage and are looking to gain new knowledge about machine learning then keep reading...
WARNING: Do not read this book if you're looking for a boring textbook containing a lot of dry math and programming lingo.
Every day, someone is putting down a book on machine learning and giving up on learning..
An all-encompassing guide to skeptical thinking from podcast host and academic neurologist at Yale University School of Medicine Steven Novella and his SGU co-hosts, which Richard Wiseman calls "the perfect primer for anyone who wants to separate fact from fiction."
It is intimidating to realize that we live in a world overflowing..
An NPR Best Book of the Year
Included in The Washington Post's Notable Nonfiction of the Year
An Independent and New Statesman Book of the Year
Beyond the familiar online world that most of us inhabit—a world of Google, Facebook, and Twitter—lies a vast and often hidden network of sites,..
Delve into your data for the key to success
Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business...
An inside look at who's watching you, what they know and why it matters. We are being watched.
We see online ads from websites we've visited, long after we've moved on to other interests. Our smartphones and cars transmit our location, enabling us to know what's in the neighborhood but also enabling others to track us. And the..
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses..
This book constitutes the refereed proceedings of the 15th Australasian Conference on Data Mining, AusDM 2017, held in Melbourne, VIC, Australia, in August 2017.
The 17 revised full papers presented together with 11 research track papers and 6 application track papers were carefully reviewed and selected from 31 submissions. The..
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.
Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects..
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the..
A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them.
Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption..
"When a story captures the imagination of millions, that's magic. Can you qualify magic? Archer and Jockers just may have done so."—Sylvia Day, New York Times bestselling author
Ask most people about massive success in the world of fiction, and you’ll typically hear that it’s a game of hazy crystal balls. The sales figures of..
Dieses Buch behandelt die wichtigsten Methoden zur Erkennung und Extraktion von „Wissen“ aus numerischen und nichtnumerischen Datenbanken in Technik und Wirtschaft. Es vermittelt einen kompakten, fundierten Überblick über die verschiedenen Methoden sowie deren Motivation und versetzt den Leser in die Lage, Data Mining selbst praktisch einzusetzen.
Do you want to learn about data science but aren't in the mood to read a boring textbook?
This data science book could be the answer you're looking for...
Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionary
field could be left behind.
You see,..
This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This..
BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language.
Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media,..
This book constitutes the refereed proceedings of the 20th Australasian Conference on Data Mining, AusDM 2022, held in Western Sydney, Australia, during December 12–15, 2022.
The 17 full papers included in this book were carefully reviewed and selected from 44 submissions. They were organized in topical sections as ​research track and..
Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics,..
This book constitutes the refereed proceedings of the 16th Australasian Conference on Data Mining, AusDM 2018, held in Bathurst, NSW, Australia, in November 2018.
The 27 revised full papers presented together with 3 short papers were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on classification..
