recommendation engine
description: information filtering system to predict users' preferences
226 results
The Seventh Sense: Power, Fortune, and Survival in the Age of Networks
by Joshua Cooper Ramo · 16 May 2016 · 326pp · 103,170 words
. Maes hoped to design a computer that could predict what movies or music or books you or I might enjoy. (And, of course, buy.) A recommendation engine. We all know how sputtering our own suggestion motors can be. Think of that primitive analog exchange known as the First Date: Oh, you like
Utopia Is Creepy: And Other Provocations
by Nicholas Carr · 5 Sep 2016 · 391pp · 105,382 words
, headlines and stories from writers or publications we like, alerts about the availability of various other sorts of content on favorite subjects, or suggestions from recommendation engines—but it all shares the quality of being tailored to our particular interests. It’s all needles. And modern filters don’t just organize that
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. Television became more interesting when people started paying for it. 20. Instagram shows us what a world without art looks like. SECOND SERIES (2013) 21. Recommendation engines are the best cure for hubris. 22. Vines would be better if they were one second shorter. 23. Hell is other selfies. 24. Twitter has
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
by Erik Brynjolfsson and Andrew McAfee · 20 Jan 2014 · 339pp · 88,732 words
, while the next-best performers face harsher competition from all directions. A similar dynamic comes into play when technologies like Google or even Amazon’s recommendation engine reduce search costs. Suddenly second-rate producers can no longer count on consumer ignorance or geographic barriers to protect their margins. Digital technologies have aided
The Filter Bubble: What the Internet Is Hiding From You
by Eli Pariser · 11 May 2011 · 274pp · 75,846 words
door finds out someone is interested in education; we get back to that person and others like him or her with more information. Amazon’s recommendation engine is the direction we need to head.” The trend is clear: We’re moving from swing states to swing people. Consider this scenario: It’s
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: “How Rove Targeted the Republican Vote,” Frontline, accessed Feb. 8, 2011, www.pbs.org/wgbh/pages/frontline/shows/architect/rove/metrics.html. 152 “Amazon’s recommendation engine is the direction”: Mark Steitz and Laura Quinn, “An Introduction to Microtargeting in Politics,” accessed Dec. 17, 2010, www.docstoc.com/docs/43575201/An-Introduction
The Numerati
by Stephen Baker · 11 Aug 2008 · 265pp · 74,000 words
that they should be able to point people—either doctors or patients—to the most probable cause. In this way, they will work like the recommendation engines on Netflix or Amazon.com, which point people toward books or movies that are popular among customers with similar patterns. (Amazon and Netflix, of course
The Glass Cage: Automation and Us
by Nicholas Carr · 28 Sep 2014 · 308pp · 84,713 words
GPS instructions to get from one place to the next. We use social networks to maintain friendships and express our feelings. We seek advice from recommendation engines on what to watch, read, and listen to. We look to Google, or to Apple’s Siri, to answer our questions and solve our problems
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nuances, and actively resistant to creative expression. The deliberate breaking of a grammatical rule may delight a reader, but it’s anathema to a computer. Recommendation engines, whether suggesting a movie or a potential love interest, cater to our established desires rather than challenging us with the new and unexpected. They assume
Shipping Greatness
by Chris Vander Mey · 23 Aug 2012 · 231pp · 71,248 words
will uniquely solve the content discovery problem by integrating these technologies and building unique suggestion algorithms. Unlike competitors such as Netflix, who already have a recommendations engine, we’ll integrate across all video sources and use our richer data to provide more interesting in-viewing experiences and more accurate recommendations. We will
The Practice of Cloud System Administration: DevOps and SRE Practices for Web Services, Volume 2
by Thomas A. Limoncelli, Strata R. Chalup and Christina J. Hogan · 27 Aug 2014 · 757pp · 193,541 words
services available in IaaS offerings. Some offer more more esoteric services such as Google’s Machine Learning service, which can be used to build a recommendation engine. Additional services are announced periodically. 3.1.3 Software as a Service SaaS is what we used to call a web site before the marketing
Hacking Growth: How Today's Fastest-Growing Companies Drive Breakout Success
by Sean Ellis and Morgan Brown · 24 Apr 2017 · 344pp · 96,020 words
customer is visiting, and also through email and mobile push messages. Amazon is, once again, a leading practitioner, having developed one of the most powerful “recommendation engines,” the term for the algorithmic programs that customize which items are recommended to you while browsing the site. The selections are based on a combination
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other shoppers like that customer. All Amazon shoppers in effect see their own version of Amazon with a unique experience tailored to their preferences. Some recommendation engines, such as Amazon’s, as well as those deployed by Google and Netflix, are incredibly complex, but many are based on relatively simple math. As
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be done for a host of combinations of every item in the store, creating powerful recommendations that lead to more purchases. And with the best recommendation engines, these product suggestions will only get better and more personalized over time because the more customers shop, the more data is available not just about
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what an individual customer has purchased, but also about common patterns among a large pool of shoppers. The grocery app recommendation engine might, for example, recommend seltzer water and limes when a shopper puts Red Bull in her shopping cart—even if that shopper has no history
Actionable Gamification: Beyond Points, Badges and Leaderboards
by Yu-Kai Chou · 13 Apr 2015 · 420pp · 130,503 words
” experience that no other eCommerce site can provide. Don’t fall behind your neighbors! Accompanying the Alfred Effect is Amazon’s Recommendation Engine, now infamous in the personalization industry. Amazon’s recommendation engine, according to Amazon themselves, led to 30% of their sales5. That’s a fairly significant factor for a company that is
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Amazon’s 29% sales growth from the second fiscal quarter of 2011 to the second fiscal quarter of 2012 was attributed to the recommendation engine.6 And what does this recommendation engine look like? “Customers Who Bought This Item Also Bought.” Amazon quickly realized that, by learning about what other people similar to you
Facebook: The Inside Story
by Steven Levy · 25 Feb 2020 · 706pp · 202,591 words
We Are the Nerds: The Birth and Tumultuous Life of Reddit, the Internet's Culture Laboratory
by Christine Lagorio-Chafkin · 1 Oct 2018
Radical Technologies: The Design of Everyday Life
by Adam Greenfield · 29 May 2017 · 410pp · 119,823 words
The Power of Pull: How Small Moves, Smartly Made, Can Set Big Things in Motion
by John Hagel Iii and John Seely Brown · 12 Apr 2010 · 319pp · 89,477 words
Dawn of the New Everything: Encounters With Reality and Virtual Reality
by Jaron Lanier · 21 Nov 2017 · 480pp · 123,979 words
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
by Cathy O'Neil · 5 Sep 2016 · 252pp · 72,473 words
Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World
by Mo Gawdat · 29 Sep 2021 · 259pp · 84,261 words
The Great Fragmentation: And Why the Future of All Business Is Small
by Steve Sammartino · 25 Jun 2014 · 247pp · 81,135 words
Lean Analytics: Use Data to Build a Better Startup Faster
by Alistair Croll and Benjamin Yoskovitz · 1 Mar 2013 · 567pp · 122,311 words
To Save Everything, Click Here: The Folly of Technological Solutionism
by Evgeny Morozov · 15 Nov 2013 · 606pp · 157,120 words
Ten Arguments for Deleting Your Social Media Accounts Right Now
by Jaron Lanier · 28 May 2018 · 151pp · 39,757 words
Overcomplicated: Technology at the Limits of Comprehension
by Samuel Arbesman · 18 Jul 2016 · 222pp · 53,317 words
Hit Makers: The Science of Popularity in an Age of Distraction
by Derek Thompson · 7 Feb 2017 · 416pp · 108,370 words
The Stack: On Software and Sovereignty
by Benjamin H. Bratton · 19 Feb 2016 · 903pp · 235,753 words
AI Superpowers: China, Silicon Valley, and the New World Order
by Kai-Fu Lee · 14 Sep 2018 · 307pp · 88,180 words
Zucked: Waking Up to the Facebook Catastrophe
by Roger McNamee · 1 Jan 2019 · 382pp · 105,819 words
Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech
by Sara Wachter-Boettcher · 9 Oct 2017 · 223pp · 60,909 words
That Will Never Work: The Birth of Netflix and the Amazing Life of an Idea
by Marc Randolph · 16 Sep 2019 · 334pp · 102,899 words
Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies
by Reid Hoffman and Chris Yeh · 14 Apr 2018 · 286pp · 87,401 words
Binge Times: Inside Hollywood's Furious Billion-Dollar Battle to Take Down Netflix
by Dade Hayes and Dawn Chmielewski · 18 Apr 2022 · 414pp · 117,581 words
Mindf*ck: Cambridge Analytica and the Plot to Break America
by Christopher Wylie · 8 Oct 2019
The Alignment Problem: Machine Learning and Human Values
by Brian Christian · 5 Oct 2020 · 625pp · 167,349 words
Death Glitch: How Techno-Solutionism Fails Us in This Life and Beyond
by Tamara Kneese · 14 Aug 2023 · 284pp · 75,744 words
Boom: Bubbles and the End of Stagnation
by Byrne Hobart and Tobias Huber · 29 Oct 2024 · 292pp · 106,826 words
Abolish Silicon Valley: How to Liberate Technology From Capitalism
by Wendy Liu · 22 Mar 2020 · 223pp · 71,414 words
Code Dependent: Living in the Shadow of AI
by Madhumita Murgia · 20 Mar 2024 · 336pp · 91,806 words
The Metaverse: And How It Will Revolutionize Everything
by Matthew Ball · 18 Jul 2022 · 412pp · 116,685 words
The End of Nice: How to Be Human in a World Run by Robots (Kindle Single)
by Richard Newton · 11 Apr 2015 · 94pp · 26,453 words
The Driver in the Driverless Car: How Our Technology Choices Will Create the Future
by Vivek Wadhwa and Alex Salkever · 2 Apr 2017 · 181pp · 52,147 words
The Content Trap: A Strategist's Guide to Digital Change
by Bharat Anand · 17 Oct 2016 · 554pp · 149,489 words
Platform Revolution: How Networked Markets Are Transforming the Economy--And How to Make Them Work for You
by Sangeet Paul Choudary, Marshall W. van Alstyne and Geoffrey G. Parker · 27 Mar 2016 · 421pp · 110,406 words
Bank 3.0: Why Banking Is No Longer Somewhere You Go but Something You Do
by Brett King · 26 Dec 2012 · 382pp · 120,064 words
Forward: Notes on the Future of Our Democracy
by Andrew Yang · 15 Nov 2021
Tools of Titans: The Tactics, Routines, and Habits of Billionaires, Icons, and World-Class Performers
by Timothy Ferriss · 6 Dec 2016 · 669pp · 210,153 words
Everyware: The Dawning Age of Ubiquitous Computing
by Adam Greenfield · 14 Sep 2006 · 229pp · 68,426 words
Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement
by Eric Redmond, Jim Wilson and Jim R. Wilson · 7 May 2012 · 713pp · 93,944 words
Exponential Organizations: Why New Organizations Are Ten Times Better, Faster, and Cheaper Than Yours (And What to Do About It)
by Salim Ismail and Yuri van Geest · 17 Oct 2014 · 292pp · 85,151 words
Terms of Service: Social Media and the Price of Constant Connection
by Jacob Silverman · 17 Mar 2015 · 527pp · 147,690 words
No Ordinary Disruption: The Four Global Forces Breaking All the Trends
by Richard Dobbs and James Manyika · 12 May 2015 · 389pp · 87,758 words
The Industries of the Future
by Alec Ross · 2 Feb 2016 · 364pp · 99,897 words
Competing on Analytics: The New Science of Winning
by Thomas H. Davenport and Jeanne G. Harris · 6 Mar 2007 · 233pp · 67,596 words
Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage
by Douglas B. Laney · 4 Sep 2017 · 374pp · 94,508 words
Throwing Rocks at the Google Bus: How Growth Became the Enemy of Prosperity
by Douglas Rushkoff · 1 Mar 2016 · 366pp · 94,209 words
Move Fast and Break Things: How Facebook, Google, and Amazon Cornered Culture and Undermined Democracy
by Jonathan Taplin · 17 Apr 2017 · 222pp · 70,132 words
Dual Transformation: How to Reposition Today's Business While Creating the Future
by Scott D. Anthony and Mark W. Johnson · 27 Mar 2017 · 293pp · 78,439 words
Ctrl Alt Delete: Reboot Your Business. Reboot Your Life. Your Future Depends on It.
by Mitch Joel · 20 May 2013 · 260pp · 76,223 words
Shadow Work: The Unpaid, Unseen Jobs That Fill Your Day
by Craig Lambert · 30 Apr 2015 · 229pp · 72,431 words
New Dark Age: Technology and the End of the Future
by James Bridle · 18 Jun 2018 · 301pp · 85,263 words
Team Human
by Douglas Rushkoff · 22 Jan 2019 · 196pp · 54,339 words
Merchants of Truth: The Business of News and the Fight for Facts
by Jill Abramson · 5 Feb 2019 · 788pp · 223,004 words
The Business of Platforms: Strategy in the Age of Digital Competition, Innovation, and Power
by Michael A. Cusumano, Annabelle Gawer and David B. Yoffie · 6 May 2019 · 328pp · 84,682 words
Rule of the Robots: How Artificial Intelligence Will Transform Everything
by Martin Ford · 13 Sep 2021 · 288pp · 86,995 words
Mine!: How the Hidden Rules of Ownership Control Our Lives
by Michael A. Heller and James Salzman · 2 Mar 2021 · 332pp · 100,245 words
The Death of Truth: Notes on Falsehood in the Age of Trump
by Michiko Kakutani · 17 Jul 2018 · 137pp · 38,925 words
Principles of Web API Design: Delivering Value with APIs and Microservices
by James Higginbotham · 20 Dec 2021 · 283pp · 78,705 words
The Start-Up of You: Adapt to the Future, Invest in Yourself, and Transform Your Career
by Reid Hoffman and Ben Casnocha · 14 Feb 2012 · 176pp · 55,819 words
The Mesh: Why the Future of Business Is Sharing
by Lisa Gansky · 14 Oct 2010 · 215pp · 55,212 words
Designing Web Interfaces: Principles and Patterns for Rich Interactions
by Bill Scott and Theresa Neil · 15 Dec 2008 · 504pp · 67,845 words
The Data Detective: Ten Easy Rules to Make Sense of Statistics
by Tim Harford · 2 Feb 2021 · 428pp · 103,544 words
Big Data Glossary
by Pete Warden · 20 Sep 2011 · 58pp · 12,386 words
Do More Faster: TechStars Lessons to Accelerate Your Startup
by Brad Feld and David Cohen · 18 Oct 2010 · 326pp · 74,433 words
Present Shock: When Everything Happens Now
by Douglas Rushkoff · 21 Mar 2013 · 323pp · 95,939 words
The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity
by Byron Reese · 23 Apr 2018 · 294pp · 96,661 words
Evil by Design: Interaction Design to Lead Us Into Temptation
by Chris Nodder · 4 Jun 2013 · 254pp · 79,052 words
The Creative Curve: How to Develop the Right Idea, at the Right Time
by Allen Gannett · 11 Jun 2018 · 247pp · 69,593 words
It's Not TV: The Spectacular Rise, Revolution, and Future of HBO
by Felix Gillette and John Koblin · 1 Nov 2022 · 575pp · 140,384 words
The People vs Tech: How the Internet Is Killing Democracy (And How We Save It)
by Jamie Bartlett · 4 Apr 2018 · 170pp · 49,193 words
How to Be a Liberal: The Story of Liberalism and the Fight for Its Life
by Ian Dunt · 15 Oct 2020
Prophecy: Prediction, Power, and the Fight for the Future, from Ancient Oracles to AI
by Carissa Véliz · 21 Apr 2026 · 503pp · 129,255 words
The Quiet Damage: QAnon and the Destruction of the American Family
by Jesselyn Cook · 22 Jul 2024 · 321pp · 95,778 words
The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence
by Sebastian Mallaby; · 30 Mar 2026 · 607pp · 161,998 words
The Mathematics of Love: Patterns, Proofs, and the Search for the Ultimate Equation
by Hannah Fry · 3 Feb 2015 · 88pp · 25,047 words
Meditations for Mortals: Four Weeks to Embrace Your Limitations and Make Time for What Counts
by Oliver Burkeman · 8 Oct 2024 · 123pp · 43,370 words
Designing Great Data Products
by Jeremy Howard, Mike Loukides and Margit Zwemer · 23 Mar 2012 · 23pp · 5,264 words
Programming Collective Intelligence
by Toby Segaran · 17 Dec 2008 · 519pp · 102,669 words
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
by Michael Kearns and Aaron Roth · 3 Oct 2019
The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future
by Kevin Kelly · 6 Jun 2016 · 371pp · 108,317 words
The Everything Store: Jeff Bezos and the Age of Amazon
by Brad Stone · 14 Oct 2013 · 380pp · 118,675 words
Attention Factory: The Story of TikTok and China's ByteDance
by Matthew Brennan · 9 Oct 2020 · 282pp · 63,385 words
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
by Valliappa Lakshmanan, Sara Robinson and Michael Munn · 31 Oct 2020
The Internet Trap: How the Digital Economy Builds Monopolies and Undermines Democracy
by Matthew Hindman · 24 Sep 2018
Machine Learning for Hackers
by Drew Conway and John Myles White · 10 Feb 2012 · 451pp · 103,606 words
Doing Data Science: Straight Talk From the Frontline
by Cathy O'Neil and Rachel Schutt · 8 Oct 2013 · 523pp · 112,185 words
Filterworld: How Algorithms Flattened Culture
by Kyle Chayka · 15 Jan 2024 · 321pp · 105,480 words
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
by Martin Kleppmann · 17 Apr 2017
Big Data: A Revolution That Will Transform How We Live, Work, and Think
by Viktor Mayer-Schonberger and Kenneth Cukier · 5 Mar 2013 · 304pp · 82,395 words
Graph Databases
by Ian Robinson, Jim Webber and Emil Eifrem · 13 Jun 2013 · 201pp · 63,192 words
The Black Box Society: The Secret Algorithms That Control Money and Information
by Frank Pasquale · 17 Nov 2014 · 320pp · 87,853 words
Human + Machine: Reimagining Work in the Age of AI
by Paul R. Daugherty and H. James Wilson · 15 Jan 2018 · 523pp · 61,179 words
Solr in Action
by Trey Grainger and Timothy Potter · 14 Sep 2014 · 1,085pp · 219,144 words
Netflixed: The Epic Battle for America's Eyeballs
by Gina Keating · 10 Oct 2012 · 347pp · 91,318 words
Succeeding With AI: How to Make AI Work for Your Business
by Veljko Krunic · 29 Mar 2020
What Algorithms Want: Imagination in the Age of Computing
by Ed Finn · 10 Mar 2017 · 285pp · 86,853 words
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
by Martin Kleppmann · 16 Mar 2017 · 1,237pp · 227,370 words
The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health--And How We Must Adapt
by Sinan Aral · 14 Sep 2020 · 475pp · 134,707 words
Futureproof: 9 Rules for Humans in the Age of Automation
by Kevin Roose · 9 Mar 2021 · 208pp · 57,602 words
Bad Data Handbook
by Q. Ethan McCallum · 14 Nov 2012 · 398pp · 86,855 words
Singularity Rising: Surviving and Thriving in a Smarter, Richer, and More Dangerous World
by James D. Miller · 14 Jun 2012 · 377pp · 97,144 words
Designing Search: UX Strategies for Ecommerce Success
by Greg Nudelman and Pabini Gabriel-Petit · 8 May 2011
New Laws of Robotics: Defending Human Expertise in the Age of AI
by Frank Pasquale · 14 May 2020 · 1,172pp · 114,305 words
European Founders at Work
by Pedro Gairifo Santos · 7 Nov 2011 · 353pp · 104,146 words
Bold: How to Go Big, Create Wealth and Impact the World
by Peter H. Diamandis and Steven Kotler · 3 Feb 2015 · 368pp · 96,825 words
Designing Social Interfaces
by Christian Crumlish and Erin Malone · 30 Sep 2009 · 518pp · 49,555 words
Stolen Focus: Why You Can't Pay Attention--And How to Think Deeply Again
by Johann Hari · 25 Jan 2022 · 390pp · 120,864 words
The Chaos Machine: The Inside Story of How Social Media Rewired Our Minds and Our World
by Max Fisher · 5 Sep 2022 · 439pp · 131,081 words
Like, Comment, Subscribe: Inside YouTube's Chaotic Rise to World Domination
by Mark Bergen · 5 Sep 2022 · 642pp · 141,888 words
What to Think About Machines That Think: Today's Leading Thinkers on the Age of Machine Intelligence
by John Brockman · 5 Oct 2015 · 481pp · 125,946 words
The People's Platform: Taking Back Power and Culture in the Digital Age
by Astra Taylor · 4 Mar 2014 · 283pp · 85,824 words
Amazon: How the World’s Most Relentless Retailer Will Continue to Revolutionize Commerce
by Natalie Berg and Miya Knights · 28 Jan 2019 · 404pp · 95,163 words
Reinventing Capitalism in the Age of Big Data
by Viktor Mayer-Schönberger and Thomas Ramge · 27 Feb 2018 · 267pp · 72,552 words
Hello World: Being Human in the Age of Algorithms
by Hannah Fry · 17 Sep 2018 · 296pp · 78,631 words
The People's Republic of Walmart: How the World's Biggest Corporations Are Laying the Foundation for Socialism
by Leigh Phillips and Michal Rozworski · 5 Mar 2019 · 202pp · 62,901 words
A Hacker's Mind: How the Powerful Bend Society's Rules, and How to Bend Them Back
by Bruce Schneier · 7 Feb 2023 · 306pp · 82,909 words
Television disrupted: the transition from network to networked TV
by Shelly Palmer · 14 Apr 2006 · 406pp · 88,820 words
Remix: Making Art and Commerce Thrive in the Hybrid Economy
by Lawrence Lessig · 2 Jan 2009
Platform Scale: How an Emerging Business Model Helps Startups Build Large Empires With Minimum Investment
by Sangeet Paul Choudary · 14 Sep 2015 · 302pp · 73,581 words
Breaking News: The Remaking of Journalism and Why It Matters Now
by Alan Rusbridger · 14 Oct 2018 · 579pp · 160,351 words
Data Science from Scratch: First Principles with Python
by Joel Grus · 13 Apr 2015 · 579pp · 76,657 words
Algospeak: How Social Media Is Transforming the Future of Language
by Adam Aleksic · 15 Jul 2025 · 278pp · 71,701 words
Relevant Search: With Examples Using Elasticsearch and Solr
by Doug Turnbull and John Berryman · 30 Apr 2016 · 593pp · 118,995 words
Off the Edge: Flat Earthers, Conspiracy Culture, and Why People Will Believe Anything
by Kelly Weill · 22 Feb 2022
I Live in the Future & Here's How It Works: Why Your World, Work, and Brain Are Being Creatively Disrupted
by Nick Bilton · 13 Sep 2010 · 236pp · 77,098 words
Effective Programming: More Than Writing Code
by Jeff Atwood · 3 Jul 2012 · 270pp · 64,235 words
Machine Learning for Email
by Drew Conway and John Myles White · 25 Oct 2011 · 163pp · 42,402 words
Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking
by Foster Provost and Tom Fawcett · 30 Jun 2013 · 660pp · 141,595 words
Lurking: How a Person Became a User
by Joanne McNeil · 25 Feb 2020 · 239pp · 80,319 words
Rockonomics: A Backstage Tour of What the Music Industry Can Teach Us About Economics and Life
by Alan B. Krueger · 3 Jun 2019
Men Who Hate Women: From Incels to Pickup Artists, the Truth About Extreme Misogyny and How It Affects Us All
by Laura Bates · 2 Sep 2020 · 364pp · 119,398 words
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
by Thomas H. Davenport · 4 Feb 2014
Mood Machine: The Rise of Spotify and the Costs of the Perfect Playlist
by Liz Pelly · 7 Jan 2025 · 293pp · 104,461 words
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
by David Easley and Jon Kleinberg · 15 Nov 2010 · 1,535pp · 337,071 words
Python for Data Analysis
by Wes McKinney · 30 Dec 2011 · 752pp · 131,533 words
Extremely Hardcore: Inside Elon Musk's Twitter
by Zoë Schiffer · 13 Feb 2024 · 343pp · 92,693 words
The Art of Statistics: How to Learn From Data
by David Spiegelhalter · 2 Sep 2019 · 404pp · 92,713 words
System Error: Where Big Tech Went Wrong and How We Can Reboot
by Rob Reich, Mehran Sahami and Jeremy M. Weinstein · 6 Sep 2021
The Formula: How Algorithms Solve All Our Problems-And Create More
by Luke Dormehl · 4 Nov 2014 · 268pp · 75,850 words
Data Mining: Concepts and Techniques: Concepts and Techniques
by Jiawei Han, Micheline Kamber and Jian Pei · 21 Jun 2011
Women Leaders at Work: Untold Tales of Women Achieving Their Ambitions
by Elizabeth Ghaffari · 5 Dec 2011 · 493pp · 139,845 words
Enriching the Earth: Fritz Haber, Carl Bosch, and the Transformation of World Food Production
by Vaclav Smil · 18 Dec 2000
Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World
by Bruce Schneier · 2 Mar 2015 · 598pp · 134,339 words
Types and Programming Languages
by Benjamin C. Pierce · 4 Jan 2002 · 647pp · 43,757 words
RDF Database Systems: Triples Storage and SPARQL Query Processing
by Olivier Cure and Guillaume Blin · 10 Dec 2014
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
by Wes McKinney · 25 Sep 2017 · 1,829pp · 135,521 words
AIQ: How People and Machines Are Smarter Together
by Nick Polson and James Scott · 14 May 2018 · 301pp · 85,126 words
Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again
by Eric Topol · 1 Jan 2019 · 424pp · 114,905 words
Science Fictions: How Fraud, Bias, Negligence, and Hype Undermine the Search for Truth
by Stuart Ritchie · 20 Jul 2020
The Art of Statistics: Learning From Data
by David Spiegelhalter · 14 Oct 2019 · 442pp · 94,734 words
Smart Mobs: The Next Social Revolution
by Howard Rheingold · 24 Dec 2011
Mining of Massive Datasets
by Jure Leskovec, Anand Rajaraman and Jeffrey David Ullman · 13 Nov 2014
Text Analytics With Python: A Practical Real-World Approach to Gaining Actionable Insights From Your Data
by Dipanjan Sarkar · 1 Dec 2016
Artificial Intelligence: A Modern Approach
by Stuart Russell and Peter Norvig · 14 Jul 2019 · 2,466pp · 668,761 words
Four Battlegrounds
by Paul Scharre · 18 Jan 2023
The Elements of Choice: Why the Way We Decide Matters
by Eric J. Johnson · 12 Oct 2021 · 362pp · 103,087 words
Nexus: A Brief History of Information Networks From the Stone Age to AI
by Yuval Noah Harari · 9 Sep 2024 · 566pp · 169,013 words
Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity
by Daron Acemoglu and Simon Johnson · 15 May 2023 · 619pp · 177,548 words
Avogadro Corp
by William Hertling · 9 Apr 2014 · 247pp · 71,698 words
Writing Effective Use Cases
by Alistair Cockburn · 30 Sep 2000
Engineering Security
by Peter Gutmann
Designing for the Social Web
by Joshua Porter · 18 May 2008 · 201pp · 21,180 words
Elsewhere, U.S.A: How We Got From the Company Man, Family Dinners, and the Affluent Society to the Home Office, BlackBerry Moms,and Economic Anxiety
by Dalton Conley · 27 Dec 2008 · 204pp · 67,922 words
Beautiful Visualization
by Julie Steele · 20 Apr 2010
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos · 21 Sep 2015 · 396pp · 117,149 words
Building Microservices
by Sam Newman · 25 Dec 2014 · 540pp · 103,101 words
The Age of Surveillance Capitalism
by Shoshana Zuboff · 15 Jan 2019 · 918pp · 257,605 words
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
by Eric Siegel · 19 Feb 2013 · 502pp · 107,657 words
Randomistas: How Radical Researchers Changed Our World
by Andrew Leigh · 14 Sep 2018 · 340pp · 94,464 words
The Creativity Code: How AI Is Learning to Write, Paint and Think
by Marcus Du Sautoy · 7 Mar 2019 · 337pp · 103,522 words
Applied Artificial Intelligence: A Handbook for Business Leaders
by Mariya Yao, Adelyn Zhou and Marlene Jia · 1 Jun 2018 · 161pp · 39,526 words
Coders: The Making of a New Tribe and the Remaking of the World
by Clive Thompson · 26 Mar 2019 · 499pp · 144,278 words
Deep Utopia: Life and Meaning in a Solved World
by Nick Bostrom · 26 Mar 2024 · 547pp · 173,909 words
AI in Museums: Reflections, Perspectives and Applications
by Sonja Thiel and Johannes C. Bernhardt · 31 Dec 2023 · 321pp · 113,564 words
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
by Karen Hao · 19 May 2025 · 660pp · 179,531 words
What's Yours Is Mine: Against the Sharing Economy
by Tom Slee · 18 Nov 2015 · 265pp · 69,310 words
The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism
by Arun Sundararajan · 12 May 2016 · 375pp · 88,306 words
Ghost Work: How to Stop Silicon Valley From Building a New Global Underclass
by Mary L. Gray and Siddharth Suri · 6 May 2019 · 346pp · 97,330 words
Green Tyranny: Exposing the Totalitarian Roots of the Climate Industrial Complex
by Rupert Darwall · 2 Oct 2017 · 451pp · 115,720 words
The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant From Two Centuries of Controversy
by Sharon Bertsch McGrayne · 16 May 2011 · 561pp · 120,899 words
In the Plex: How Google Thinks, Works, and Shapes Our Lives
by Steven Levy · 12 Apr 2011 · 666pp · 181,495 words
Hadoop: The Definitive Guide
by Tom White · 29 May 2009 · 933pp · 205,691 words
Hands-On Machine Learning With Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
by Aurélien Géron · 13 Mar 2017 · 1,331pp · 163,200 words
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
by Zdravko Markov and Daniel T. Larose · 5 Apr 2007
Thinking Machines: The Inside Story of Artificial Intelligence and Our Race to Build the Future
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