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Machine Learning Blogs

Good Machine Learning Blogs
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Edwin Chen’s Blog
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Improving Twitter search with real-time human computation
Tue Jan 8, 2013 23:08
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Edge Prediction in a Social Graph: My Solution to Facebook’s User Recommendation Contest on Kaggle
Tue Jul 31, 2012 20:17
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Soda vs. Pop with Twitter
Fri Jul 6, 2012 20:51
title=
Making the Most of Mechanical Turk: Tips and Best Practices
Wed Apr 25, 2012 23:50
natural language processing blog
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my biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.)
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my biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.)
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Yet another list of things we can do to have more diverse sets of invited speakers
Mon Jul 16, 2018 23:26
Many opportunities for discrimination in deploying machine learning systems
Tue Jun 12, 2018 21:22
Column squishing for multiclass updates
Tue Aug 15, 2017 16:50
Humans can still extort more money from me than machines can
Wed Apr 12, 2017 18:46
FastML
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Paper review: X-Sample Contrastive Loss
Mon Nov 4, 2024 20:01
This is how you code now
Sun Nov 3, 2024 11:12
SpamGPT: watermarking large language models
Sun Nov 3, 2024 11:12
Help with making a new music recommendation dataset
Sun Nov 3, 2024 11:12
Machine Learning (Theory)
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Machine learning and learning theory research
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Machine learning and learning theory research
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An AI Miracle Malcontent
Thu Apr 6, 2023 01:29
ICML 2021 Invited Speakers — ML for Science
Mon Jul 19, 2021 21:32
ALT Highlights – An Interview with Joelle Pineau
Fri Apr 23, 2021 17:10
What is the Right Response to Employer Misbehavior in Research?
Mon Dec 14, 2020 22:57
Matt Might's blog
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Matt Might's blog
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Matt Might's blog
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HOWTO: Change your behavior
Sun Jan 14, 2024 20:21
Hello, Perceptron: An introduction to artificial neural networks
Fri May 5, 2023 17:04
Make a fun, infinitely replayable game in 5 minutes with GPT-4
Sat Apr 1, 2023 18:57
26 programming languages in 25 days, Part 2: Reflections on language design
Sat Dec 31, 2022 21:44
Peekaboo
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Andy's Computer Vision and Machine Learning Blog
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Andy's Computer Vision and Machine Learning Blog
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Don't fund Software that doesn't exist
Tue Jan 7, 2020 19:27
Don't cite the No Free Lunch Theorem
Tue Jul 2, 2019 19:11
Off-topic: speed reading like spritz
Thu Mar 20, 2014 22:39
Scikit-learn sprint and 0.14 release candidate (Update: binaries available :)
Mon Jul 29, 2013 15:36
Philip Guo
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RSS feed for Philip Guo's personal website
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RSS feed for Philip Guo's personal website
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One Weird Year (April 2012–2013): How I Quit Academia for Industry and then Returned
Sun May 3, 2020 21:40
Walkthroughs of my HCI research papers
Mon Apr 27, 2020 00:37
PG Podcast - Episode 55 - Laurel Schwulst on art, code, teaching, and the magic of the bespoke web
Sun Mar 1, 2020 17:07
PG Podcast - Episode 54 - William Li on re-learning Chinese (first 46 minutes in Cantonese!)
Sun Mar 1, 2020 17:07
Adventures in Data Land
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Dive into Deep Learning
Thu Dec 6, 2018 00:39
Leaving CMU
Thu Jun 16, 2016 03:16
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Distributing Data in a Parameterserver
Tue May 20, 2014 08:30
100 Terabytes, 5 Billion Documents, 10 Billion Parameters, 1 Billion Inserts/s
Mon May 12, 2014 02:24
Nuit Blanche
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"Defeating the data tsunami one algorithm at a time". Nuit Blanche covers compressive sensing, advanced matrix factorization, random numerical linear algebra and all their applications.
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"Defeating the data tsunami one algorithm at a time". Nuit Blanche covers compressive sensing, advanced matrix factorization, random numerical linear algebra and all their applications.
963 followers [0] 1 篇文章/周
ModernBERT: Smarter, Better, Faster and with Longer context
Mon Dec 23, 2024 04:49
Large Language Models and Transformers (Videos, Simons Institute for the Theory of Computing)
Thu Aug 17, 2023 15:36
2021, the year AI ate HPC … and more
Fri Dec 31, 2021 19:46
LightOn Photonic coprocessor integrated into European AI Supercomputer
Tue Dec 21, 2021 21:37
tombone's computer vision blog
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The philosophy of computational object recognition, scene understanding, machine learning, and musings on the future of computer vision.
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The philosophy of computational object recognition, scene understanding, machine learning, and musings on the future of computer vision.
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Computer Vision and Visual SLAM vs. AI Agents
Tue Nov 19, 2019 12:18
DeepFakes: AI-powered deception machines
Wed May 16, 2018 22:23
Nuts and Bolts of Building Deep Learning Applications: Ng @ NIPS2016
Fri Dec 16, 2016 07:13
Making Deep Networks Probabilistic via Test-time Dropout
Fri Jun 17, 2016 14:24
Machined Learnings
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I'm all about that Bayes.
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I'm all about that Bayes.
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The Conference Problem
Sun Nov 20, 2022 16:47
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The Decision-Estimation Coefficient
Sun Nov 13, 2022 17:50
Interaction Grounded Learning
Tue Aug 31, 2021 06:00
Distributionally Robust Contextual Bandit Learning
Sat Dec 5, 2020 23:14
Machine Learning, etc
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223 followers [0] 0 篇文章/周
Backprop and systolic arrays
Mon Nov 20, 2017 05:51
TensorFlow meets PyTorch with new Eager mode
Tue Oct 31, 2017 07:19
Optimizing deeper networks with KFAC in PyTorch.
Mon Oct 23, 2017 02:03
ICLR 2015
Wed May 13, 2015 02:36
Random Ponderings
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How to Write an Academic Teaching Statement
Sat Dec 3, 2016 04:28
SoCal ML Symposium
Thu Sep 29, 2016 08:28
Data Science Positions for Sports Analytics
Sat Jan 2, 2016 05:16
Thoughts on NIPS 2015 and OpenAI
Thu Dec 31, 2015 22:36
Erik Bernhardsson
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86 followers [0] 0 篇文章/周
title=
The eigenvector of "Why we moved from language X to language Y"
Wed Mar 15, 2017 14:18
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Why I went into the mortgage industry
Fri Feb 17, 2017 15:30
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Language pitch
Thu Feb 2, 2017 01:47
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Language pitch
Thu Feb 2, 2017 01:37
Randal S. Olson
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Musings of a data tinkerer
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Musings of a data tinkerer
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Things I can lift: How I visualize my strength training progress
Thu Apr 15, 2021 20:57
A data-driven look at marble racing
Sun May 24, 2020 20:39
Does batting order matter in Major League Baseball? A simulation approach
Thu Jul 5, 2018 00:07
Traveling salesman portrait in Python
Thu Apr 12, 2018 03:52
Inverse Probability
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Neil Lawrence's thoughts on machine learning, academia and research.
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Neil Lawrence's thoughts on machine learning, academia and research.
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DALI Meeting + Views on Machine Learning and Artificial Intelligence
Tue Apr 14, 2015 12:13
Legislation for Personal Data: Magna Carta or Highway Code?
Tue Apr 14, 2015 10:27
NIPS Experiment Analysis
Mon Mar 30, 2015 12:40
Proceedings of Machine Learning Research
Mon Mar 30, 2015 09:57
colah's blog
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575 followers [0] 0 篇文章/周
Collaboration and Credit Principles
Thu May 30, 2019 18:40
Visual Information Theory
Wed Oct 14, 2015 17:30
Neural Networks, Types, and Functional Programming
Thu Sep 3, 2015 18:05
Calculus on Computational Graphs: Backpropagation
Mon Aug 31, 2015 20:23
Andrej Karpathy blog
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Musings of a Computer Scientist.
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Musings of a Computer Scientist.
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Self-driving as a case study for AGI
Mon Jan 22, 2024 02:10
Deep Neural Nets: 33 years ago and 33 years from now
Mon Mar 14, 2022 17:58
A from-scratch tour of Bitcoin in Python
Tue Jun 22, 2021 19:36
Short Story on AI: Forward Pass
Sat Mar 27, 2021 23:11
Deep Learning
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For my new blog see below
Mon Oct 31, 2016 14:37
This is my old blog address please see below
Mon Oct 31, 2016 12:32
title=
The Brain vs Deep Learning Part I: Computational Complexity — Or Why the Singularity Is Nowhere Near
Tue Jul 28, 2015 13:21
title=
The Brain vs Deep Learning Part I: Computational Complexity — Or Why the Singularity Is Nowhere Near
Mon Jul 27, 2015 13:20
Deniz Yuret's Homepage
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1. Ulusal Yapay Zeka Buluşması, Kapadokya
Sat Oct 19, 2024 19:55
IPN röportajı: Yapay Zeka Devrimi: Gelecekte Nasıl Ayakta Kalırız
Sat Apr 13, 2024 14:10
Teke Tek Bilim Programı
Tue Sep 20, 2022 10:25
Self-Supervised Learning with an Information Maximization Criterion
Mon Sep 19, 2022 11:08
WildML
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A blog about Machine Learning, Deep Learning and NLP.
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A blog about Machine Learning, Deep Learning and NLP.
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Deep Learning for Chatbots, Part 1 – Introduction
Tue Aug 31, 2021 12:35
Introduction to Learning to Trade with Reinforcement Learning
Sun Feb 11, 2018 08:20
AI and Deep Learning in 2017 – A Year in Review
Sun Dec 31, 2017 17:02
Hype or Not? Some Perspective on OpenAI’s DotA 2 Bot
Sat Aug 12, 2017 12:14

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