recommendation engine

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description: information filtering system to predict users' preferences

224 results

Boom: Bubbles and the End of Stagnation

by Byrne Hobart and Tobias Huber  · 29 Oct 2024  · 292pp  · 106,826 words

that define political extremes. The cybernetic outrage machine rewards those who reinforce extremes by supplying dopamine and engagement. Meanwhile, divergent opinions are algorithmically filtered out. Recommendation engines and moderation policies continuously channel, regulate, and modulate desires, opinions, and information according to likes, retweets, and reposts, or whatever dogma rules the present. And

Dawn of the New Everything: Encounters With Reality and Virtual Reality

by Jaron Lanier  · 21 Nov 2017  · 480pp  · 123,979 words

’t offer a comprehensive catalog, especially of recent, hot releases. If you think of any particular movie, it might not be available for streaming. The recommendation engine is a magician’s misdirection, distracting you from the fact that not everything is available. So is the algorithm intelligent, or are people making themselves

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

Zucked: Waking Up to the Facebook Catastrophe

by Roger McNamee  · 1 Jan 2019  · 382pp  · 105,819 words

over internet platforms generally evolves to more dangerous language. Normalization lowers a barrier for the curious; algorithmic reinforcement leads some users to increasingly extreme positions. Recommendation engines can and do exploit that. For example, former YouTube algorithm engineer Guillaume Chaslot created a program to take snapshots of what YouTube would recommend to

Mohan as saying that 70 percent of the views on his platform are from recommendations. In the absence of a commitment to civic responsibility, the recommendation engine will be programmed to do the things that generate the most profit. Conspiracy theories cause users to spend more time on the site. Once a

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

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

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

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

Radical Technologies: The Design of Everyday Life

by Adam Greenfield  · 29 May 2017  · 410pp  · 119,823 words

will help us understand how this works. At the end of the 1990s, two engineers named Tim Westegren and Will Glaser developed a rudimentary music-recommendation engine called the Music Genome Project that worked by rebuilding genre from the bottom up. (The engineers eventually founded the Pandora streaming service, and folded their

recommendation engine into it.) Music Genome compared the acoustic signatures and other performance characteristics of the pieces of music it was offered, and from them built up

Terms of Service: Social Media and the Price of Constant Connection

by Jacob Silverman  · 17 Mar 2015  · 527pp  · 147,690 words

in revenue.” The result of all this reviewing has been the atrophying of the critical culture, with professional critics seen as dispensable, nothing more than recommendation engines who can be replaced with algorithms and free, crowdsourced reviews. (Even so, some prominent cultural critics remain, though with less influence than they used to

AI Superpowers: China, Silicon Valley, and the New World Order

by Kai-Fu Lee  · 14 Sep 2018  · 307pp  · 88,180 words

internet AI. This first wave began almost fifteen years ago but finally went mainstream around 2012. Internet AI is largely about using AI algorithms as recommendation engines: systems that learn our personal preferences and then serve up content hand-picked for us. The horsepower of these AI engines depends on the digital

and, 14, 17, 56, 138 fake news detection by, 109 intelligence sharing and, 87 legal applications for, 115–16 medical diagnosis and, 114–15 as recommendation engines, 107–8 robot reporting, 108 white-collar workers and, 167, 168 Alibaba Amazon compared to, 109 Chinese startups and, 58 City Brain, 93–94, 117

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

. 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

To Save Everything, Click Here: The Folly of Technological Solutionism

by Evgeny Morozov  · 15 Nov 2013  · 606pp  · 157,120 words

Facebook: The Inside Story

by Steven Levy  · 25 Feb 2020  · 706pp  · 202,591 words

The Metaverse: And How It Will Revolutionize Everything

by Matthew Ball  · 18 Jul 2022  · 412pp  · 116,685 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

Rule of the Robots: How Artificial Intelligence Will Transform Everything

by Martin Ford  · 13 Sep 2021  · 288pp  · 86,995 words

We Are the Nerds: The Birth and Tumultuous Life of Reddit, the Internet's Culture Laboratory

by Christine Lagorio-Chafkin  · 1 Oct 2018

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

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

The Alignment Problem: Machine Learning and Human Values

by Brian Christian  · 5 Oct 2020  · 625pp  · 167,349 words

The Seventh Sense: Power, Fortune, and Survival in the Age of Networks

by Joshua Cooper Ramo  · 16 May 2016  · 326pp  · 103,170 words

The Filter Bubble: What the Internet Is Hiding From You

by Eli Pariser  · 11 May 2011  · 274pp  · 75,846 words

The Numerati

by Stephen Baker  · 11 Aug 2008  · 265pp  · 74,000 words

Team Human

by Douglas Rushkoff  · 22 Jan 2019  · 196pp  · 54,339 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

Overcomplicated: Technology at the Limits of Comprehension

by Samuel Arbesman  · 18 Jul 2016  · 222pp  · 53,317 words

The Stack: On Software and Sovereignty

by Benjamin H. Bratton  · 19 Feb 2016  · 903pp  · 235,753 words

Lean Analytics: Use Data to Build a Better Startup Faster

by Alistair Croll and Benjamin Yoskovitz  · 1 Mar 2013  · 567pp  · 122,311 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 Glass Cage: Automation and Us

by Nicholas Carr  · 28 Sep 2014  · 308pp  · 84,713 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

New Dark Age: Technology and the End of the Future

by James Bridle  · 18 Jun 2018  · 301pp  · 85,263 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

Actionable Gamification: Beyond Points, Badges and Leaderboards

by Yu-Kai Chou  · 13 Apr 2015  · 420pp  · 130,503 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

The Industries of the Future

by Alec Ross  · 2 Feb 2016  · 364pp  · 99,897 words

Throwing Rocks at the Google Bus: How Growth Became the Enemy of Prosperity

by Douglas Rushkoff  · 1 Mar 2016  · 366pp  · 94,209 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

The Content Trap: A Strategist's Guide to Digital Change

by Bharat Anand  · 17 Oct 2016  · 554pp  · 149,489 words

Everyware: The Dawning Age of Ubiquitous Computing

by Adam Greenfield  · 14 Sep 2006  · 229pp  · 68,426 words

Mindf*ck: Cambridge Analytica and the Plot to Break America

by Christopher Wylie  · 8 Oct 2019

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

Abolish Silicon Valley: How to Liberate Technology From Capitalism

by Wendy Liu  · 22 Mar 2020  · 223pp  · 71,414 words

Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech

by Sara Wachter-Boettcher  · 9 Oct 2017  · 223pp  · 60,909 words

Forward: Notes on the Future of Our Democracy

by Andrew Yang  · 15 Nov 2021

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

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

No Ordinary Disruption: The Four Global Forces Breaking All the Trends

by Richard Dobbs and James Manyika  · 12 May 2015  · 389pp  · 87,758 words

Evil by Design: Interaction Design to Lead Us Into Temptation

by Chris Nodder  · 4 Jun 2013  · 254pp  · 79,052 words

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

by Cathy O'Neil  · 5 Sep 2016  · 252pp  · 72,473 words

The Great Fragmentation: And Why the Future of All Business Is Small

by Steve Sammartino  · 25 Jun 2014  · 247pp  · 81,135 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

Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies

by Reid Hoffman and Chris Yeh  · 14 Apr 2018  · 286pp  · 87,401 words

Merchants of Truth: The Business of News and the Fight for Facts

by Jill Abramson  · 5 Feb 2019  · 788pp  · 223,004 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

Ten Arguments for Deleting Your Social Media Accounts Right Now

by Jaron Lanier  · 28 May 2018  · 151pp  · 39,757 words

Shadow Work: The Unpaid, Unseen Jobs That Fill Your Day

by Craig Lambert  · 30 Apr 2015  · 229pp  · 72,431 words

Designing Web Interfaces: Principles and Patterns for Rich Interactions

by Bill Scott and Theresa Neil  · 15 Dec 2008  · 504pp  · 67,845 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

Hit Makers: The Science of Popularity in an Age of Distraction

by Derek Thompson  · 7 Feb 2017  · 416pp  · 108,370 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

Principles of Web API Design: Delivering Value with APIs and Microservices

by James Higginbotham  · 20 Dec 2021  · 283pp  · 78,705 words

Death Glitch: How Techno-Solutionism Fails Us in This Life and Beyond

by Tamara Kneese  · 14 Aug 2023  · 284pp  · 75,744 words

Big Data Glossary

by Pete Warden  · 20 Sep 2011  · 58pp  · 12,386 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

Code Dependent: Living in the Shadow of AI

by Madhumita Murgia  · 20 Mar 2024  · 336pp  · 91,806 words

The Creative Curve: How to Develop the Right Idea, at the Right Time

by Allen Gannett  · 11 Jun 2018  · 247pp  · 69,593 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

Do More Faster: TechStars Lessons to Accelerate Your Startup

by Brad Feld and David Cohen  · 18 Oct 2010  · 326pp  · 74,433 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

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

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

The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity

by Byron Reese  · 23 Apr 2018  · 294pp  · 96,661 words

Competing on Analytics: The New Science of Winning

by Thomas H. Davenport and Jeanne G. Harris  · 6 Mar 2007  · 233pp  · 67,596 words

Present Shock: When Everything Happens Now

by Douglas Rushkoff  · 21 Mar 2013  · 323pp  · 95,939 words

How to Be a Liberal: The Story of Liberalism and the Fight for Its Life

by Ian Dunt  · 15 Oct 2020

The Mesh: Why the Future of Business Is Sharing

by Lisa Gansky  · 14 Oct 2010  · 215pp  · 55,212 words

The Death of Truth: Notes on Falsehood in the Age of Trump

by Michiko Kakutani  · 17 Jul 2018  · 137pp  · 38,925 words

The Data Detective: Ten Easy Rules to Make Sense of Statistics

by Tim Harford  · 2 Feb 2021  · 428pp  · 103,544 words

The Quiet Damage: QAnon and the Destruction of the American Family

by Jesselyn Cook  · 22 Jul 2024  · 321pp  · 95,778 words

Mood Machine: The Rise of Spotify and the Costs of the Perfect Playlist

by Liz Pelly  · 7 Jan 2025  · 293pp  · 104,461 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

Extremely Hardcore: Inside Elon Musk's Twitter

by Zoë Schiffer  · 13 Feb 2024  · 343pp  · 92,693 words

Programming Collective Intelligence

by Toby Segaran  · 17 Dec 2008  · 519pp  · 102,669 words

Designing Great Data Products

by Jeremy Howard, Mike Loukides and Margit Zwemer  · 23 Mar 2012  · 23pp  · 5,264 words

Attention Factory: The Story of TikTok and China's ByteDance

by Matthew Brennan  · 9 Oct 2020  · 282pp  · 63,385 words

Designing Search: UX Strategies for Ecommerce Success

by Greg Nudelman and Pabini Gabriel-Petit  · 8 May 2011

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

Succeeding With AI: How to Make AI Work for Your Business

by Veljko Krunic  · 29 Mar 2020

Solr in Action

by Trey Grainger and Timothy Potter  · 14 Sep 2014  · 1,085pp  · 219,144 words

European Founders at Work

by Pedro Gairifo Santos  · 7 Nov 2011  · 353pp  · 104,146 words

The Black Box Society: The Secret Algorithms That Control Money and Information

by Frank Pasquale  · 17 Nov 2014  · 320pp  · 87,853 words

The Ethical Algorithm: The Science of Socially Aware Algorithm Design

by Michael Kearns and Aaron Roth  · 3 Oct 2019

Doing Data Science: Straight Talk From the Frontline

by Cathy O'Neil and Rachel Schutt  · 8 Oct 2013  · 523pp  · 112,185 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

Bad Data Handbook

by Q. Ethan McCallum  · 14 Nov 2012  · 398pp  · 86,855 words

The Everything Store: Jeff Bezos and the Age of Amazon

by Brad Stone  · 14 Oct 2013  · 380pp  · 118,675 words

What Algorithms Want: Imagination in the Age of Computing

by Ed Finn  · 10 Mar 2017  · 285pp  · 86,853 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

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

Machine Learning for Hackers

by Drew Conway and John Myles White  · 10 Feb 2012  · 451pp  · 103,606 words

The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future

by Kevin Kelly  · 6 Jun 2016  · 371pp  · 108,317 words

Graph Databases

by Ian Robinson, Jim Webber and Emil Eifrem  · 13 Jun 2013  · 201pp  · 63,192 words

Designing Social Interfaces

by Christian Crumlish and Erin Malone  · 30 Sep 2009  · 518pp  · 49,555 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

Netflixed: The Epic Battle for America's Eyeballs

by Gina Keating  · 10 Oct 2012  · 347pp  · 91,318 words

Hello World: Being Human in the Age of Algorithms

by Hannah Fry  · 17 Sep 2018  · 296pp  · 78,631 words

The Internet Trap: How the Digital Economy Builds Monopolies and Undermines Democracy

by Matthew Hindman  · 24 Sep 2018

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

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

Filterworld: How Algorithms Flattened Culture

by Kyle Chayka  · 15 Jan 2024  · 321pp  · 105,480 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

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

Singularity Rising: Surviving and Thriving in a Smarter, Richer, and More Dangerous World

by James D. Miller  · 14 Jun 2012  · 377pp  · 97,144 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

Reinventing Capitalism in the Age of Big Data

by Viktor Mayer-Schönberger and Thomas Ramge  · 27 Feb 2018  · 267pp  · 72,552 words

The People's Platform: Taking Back Power and Culture in the Digital Age

by Astra Taylor  · 4 Mar 2014  · 283pp  · 85,824 words

New Laws of Robotics: Defending Human Expertise in the Age of AI

by Frank Pasquale  · 14 May 2020  · 1,172pp  · 114,305 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

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

Machine Learning for Email

by Drew Conway and John Myles White  · 25 Oct 2011  · 163pp  · 42,402 words

Rockonomics: A Backstage Tour of What the Music Industry Can Teach Us About Economics and Life

by Alan B. Krueger  · 3 Jun 2019

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

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

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

by Eric Siegel  · 19 Feb 2013  · 502pp  · 107,657 words

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

Enriching the Earth: Fritz Haber, Carl Bosch, and the Transformation of World Food Production

by Vaclav Smil  · 18 Dec 2000

The Formula: How Algorithms Solve All Our Problems-And Create More

by Luke Dormehl  · 4 Nov 2014  · 268pp  · 75,850 words

Lurking: How a Person Became a User

by Joanne McNeil  · 25 Feb 2020  · 239pp  · 80,319 words

Off the Edge: Flat Earthers, Conspiracy Culture, and Why People Will Believe Anything

by Kelly Weill  · 22 Feb 2022

Data Mining: Concepts and Techniques: Concepts and Techniques

by Jiawei Han, Micheline Kamber and Jian Pei  · 21 Jun 2011

Nexus: A Brief History of Information Networks From the Stone Age to AI

by Yuval Noah Harari  · 9 Sep 2024  · 566pp  · 169,013 words

Beautiful Visualization

by Julie Steele  · 20 Apr 2010

Smart Mobs: The Next Social Revolution

by Howard Rheingold  · 24 Dec 2011

Text Analytics With Python: A Practical Real-World Approach to Gaining Actionable Insights From Your Data

by Dipanjan Sarkar  · 1 Dec 2016

Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity

by Daron Acemoglu and Simon Johnson  · 15 May 2023  · 619pp  · 177,548 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

Networks, Crowds, and Markets: Reasoning About a Highly Connected World

by David Easley and Jon Kleinberg  · 15 Nov 2010  · 1,535pp  · 337,071 words

The Age of Surveillance Capitalism

by Shoshana Zuboff  · 15 Jan 2019  · 918pp  · 257,605 words

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

Effective Programming: More Than Writing Code

by Jeff Atwood  · 3 Jul 2012  · 270pp  · 64,235 words

Artificial Intelligence: A Modern Approach

by Stuart Russell and Peter Norvig  · 14 Jul 2019  · 2,466pp  · 668,761 words

Randomistas: How Radical Researchers Changed Our World

by Andrew Leigh  · 14 Sep 2018  · 340pp  · 94,464 words

Coders: The Making of a New Tribe and the Remaking of the World

by Clive Thompson  · 26 Mar 2019  · 499pp  · 144,278 words

Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

by Thomas H. Davenport  · 4 Feb 2014

Women Leaders at Work: Untold Tales of Women Achieving Their Ambitions

by Elizabeth Ghaffari  · 5 Dec 2011  · 493pp  · 139,845 words

Types and Programming Languages

by Benjamin C. Pierce  · 4 Jan 2002  · 647pp  · 43,757 words

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

by Wes McKinney  · 25 Sep 2017  · 1,829pp  · 135,521 words

Building Microservices

by Sam Newman  · 25 Dec 2014  · 540pp  · 103,101 words

Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World

by Bruce Schneier  · 2 Mar 2015  · 598pp  · 134,339 words

Designing for the Social Web

by Joshua Porter  · 18 May 2008  · 201pp  · 21,180 words

Engineering Security

by Peter Gutmann

Science Fictions: How Fraud, Bias, Negligence, and Hype Undermine the Search for Truth

by Stuart Ritchie  · 20 Jul 2020

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

The Art of Statistics: How to Learn From Data

by David Spiegelhalter  · 2 Sep 2019  · 404pp  · 92,713 words

AIQ: How People and Machines Are Smarter Together

by Nick Polson and James Scott  · 14 May 2018  · 301pp  · 85,126 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

Four Battlegrounds

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