
The Conversation
Stats + related links for How explainable artificial intelligence can help humans innovate
AI algorithms can solve hard problems and learn incredible tasks, but they can't explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.
This your link? Claim it
More like this
machinelearnings.co
The Non-Technical Guide to Machine Learning & Artificial Intelligence
machinelearnings.co
20+ min read · From 2017 · Machine learning and artificial intelligence (ML and AI) have seized Tech mindshare in a way few topics have in recent memory.
Reader View · Shared by 5210, including Gabriele, Tibor Martini 🇺🇦, Pete Skomoroch, Thomas Power, Brent Summers, Kris Fannin, Chris Messina, Sir Lord Travis Wright, Web3 Speaker + #NFTNYC, Klaus Eck, Frank Cieslik, Werner Vogels, Kenneth Kalmer, Harpreet Singh, Herbert Bay, DonDahlmann, Fabricio Teixeira, 🟣 Antonio Vieira Santos #FutureOfWork, Nils Hitze, Howard Getson, Mike Ivars
Machine Learning Mastery
A Tour of Machine Learning Algorithms
Machine Learning Mastery
From 2015 · Take a tour of the most popular machine learning algorithms.
Reader View · Shared by 447, including Matthew Turland, Anthony Atkinson, Johannes Lenz, Aleyda Solis 🇺🇦, Herbert Bay, Alex Barrera, Data Science Renee, Thomas Power, Werner Vogels, Alexandra Wong, Nando 💪🇦🇺🇦🇷, Lluís Codina, Fabrizio Bianchi, Kenneth Kalmer, Dominik Grolimund, Katja Evertz, Stephanie A Kowalski, Thomas Telandro, Florian Hanke 🍎, René Clausen Nielsen
Towards Data Science
Deep Learning Algorithms — The Complete Guide
Towards Data Science
~16 min read · From 2020 · An in-depth look at the world of deep learning.
Reader View · Shared by 442, including Merkstatt, Bill Slawski ⚓ 🇺🇦, Carl Robinson 🎙️, Kirk Borne, Gregor B. Rosenauer, Marc R Gagné MAPP 🍁, Dr. Sally Eaves #AISummit, ɐpuɐʎᴉW ᴉʇɐʍɥǝN, Ferit (at 🏠) 🌙, Jacob du Toit, Thomas Power, Dr. Ganapathi Pulipaka 🇺🇸, Matteo Furia, Katja Evertz, ipfconline, Stephanie A Kowalski, Pranav Soni, Travis Raml, CPA, Jonathan Kogan
The Conversation
Love in the time of algorithms: would you let your artificial intelligence choose your partner?
The Conversation
4 min read · 2021-01-17 · Artificial intelligence is becoming increasingly common across aspects of our lives. But what role should it play in how we find love?
Reader View · Shared by 87, including rogerverhoeven, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Iain Brown, PhD, Bob E. Hayes, Marcus Borba @ #CollisionConf #SiemensAtCollision, Ex Apologist, Nige Willson, Carla Gentry
Guardian Tech
Digital dystopia: how algorithms punish the poor
Guardian Tech
5 min read · From 2019 · In an exclusive global series, the Guardian lays bare the revolution and the wreckage that is engulfing the welfare state worldwide
Reader View · Shared by 528, including Matt Navarra, Vishal Gulati (I back scientists), Mark Coeckelbergh, Liv 😷, Eric Topol, Brian D. Earp, Ph.D., Thomas Power, jean marc manach, Chris Messina, Katja Evertz, Claudia Sommer, Thomas Pleil, Evan Kirstel the $B2B Techfluencer, Fern, Ex Apologist, Steve Faulkner, Dr. Marigo Raftopoulos, Sergio Caredda, Mark Little, AlgorithmWatch
MIT Technology Review
The coming war on the hidden algorithms that trap people in poverty
MIT Technology Review
9 min read · 2020-12-04 · A growing group of lawyers are uncovering, navigating, and fighting the automated systems that deny the poor from housing, jobs, and basic services.
Reader View · Shared by 518, including John Tasioulas, César Sepúlveda, l. ones, 🟣 Antonio Vieira Santos #FutureOfWork, Ben Jones, Carla Gentry, Jose Luis Calvo, Marcus Borba @ #CollisionConf #SiemensAtCollision, Gabriele, Tim, niazakhan, Mark Kaigwa, James Gingerich, @Expeflow #WorkEasier #RPA, Terence Mills, Marc R Gagné MAPP 🍁, John Koetsier, Memen Isimo, Gerd Leonhard, Shanna Peeples she/her 🏳️🌈, Nige Willson
unite.ai
10 Best Machine Learning Algorithms
unite.ai
~13 min read · Feb 11th · Though we're living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in…
Reader View · Shared by 214, including David Gates, Brian Ahier, ipfconline, Theodora (Theo) Lau - 劉䂀曼 🌻, Massimiliano Aroffo, Carla Gentry, AI, Dr. Sally Eaves #AISummit, Jim Marous 💯, Harold Sinnott 📲 #SiemensAtCollision, Nicolas Babin, Pascal Sulser, Dr. Ganapathi Pulipaka 🇺🇸
WIRED
Everything You Ever Wanted to Know About Artificial Intelligence
WIRED
9 min read · From 2018 · Supersmart algorithms won't take all the jobs, But they are learning faster than ever, doing everything from medical diagnostics to serving up ads.
Reader View · Shared by 315, including Arne Keuning, Fırat Demirel, Howard Getson, Philippe Surber, Simone Corsi 💻🚀, Oleg Baskov, René Clausen Nielsen, Gerd Leonhard, ɐpuɐʎᴉW ᴉʇɐʍɥǝN, Björn Ognibeni, Katja Evertz, Kenneth Kalmer, Remy Bataille, Rodrigo Prior, Vincent Liu, Nick Floro, Dominik Grolimund, Grégoire Japiot 🌻, Merkstatt, Rezha Julio
VentureBeat
DeepMind aims to marry deep learning and classic algorithms
VentureBeat
10 min read · 2021-09-10 · If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.
Reader View · Shared by 222, including MARKTECHPOST.COM, Terence Mills, Christopher S. Penn, Harold Sinnott 📲 #SiemensAtCollision, Carla Gentry, Nico Müller 🇺🇦, Kirk Borne, ipfconline, Theodora (Theo) Lau - 劉䂀曼 🌻