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The Unreasonable Effectiveness of Recurrent Neural Networks
Musings of a Computer Scientist.
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The latest blog posts to take off on Hacker News. 107 posts.
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Using Waifu2x to Upscale Japanese Prints
In my spare time I’ve been working on a database of Japanese prints for a little over 3.5 years now. I’m fully aware that I’ve never actually written about this, personally very important, project on my blog — until now. Unfortunately this isn’t a post explaining that project. I do still hope to write more about the…
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Top data mining algorithms in plain English
Today, I'm going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you ... Read More
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Hyperlapse makes first-person videos smooth and speedy
Professional photographer Nick Didlick always wanted to make a great ski movie, but he had long been stymied by the need for two things: Tons of pricey camera gear, and plenty of time to shoot.
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The state of Computer Vision and AI: we are really, really far (2012)
Musings of a Computer Scientist.
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Data Science from Scratch: First Principles with Python
I am super-excited to announce that the book I've been working on for more than the last year, Data Science from Scratch: First Principles with Python is finally available! (buy from O'Reilly, use...
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NHL goal celebration hack: real-time machine learning and hue light show
This post does a deep dive on the **epic goal celebration hack**. In a single sentence, I trained a machine learning model to detect in real-time that a goal was just scored by the Habs based on the live audio feed of a game and to trigger a light show using Philips hues in my living room.
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Probabilistic programming does in 50 lines of code what used to take thousands
MIT researchers demonstrate probabilistic programming that does in 50 lines of code what used to take thousands.
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The State of Probabilistic Programming
For two weeks last July, I cocooned myself in a hotel in Portland, OR, living and breathing probabilistic programming as a “student” in the probabilistic programming summer school run by DARPA. The…
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Deep Learning vs. Probabilistic Graphical Models vs. Logic
A Blog about Deep Learning, Computer Vision, and the algorithms that are shaping the future of Artificial Intelligence.
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Amazon Machine Learning – Make Data-Driven Decisions at Scale
Today, it is relatively straightforward and inexpensive to observe and collect vast amounts of operational data about a system, product, or process. Not surprisingly, there can be tremendous amounts of information buried within gigabytes of customer purchase data, web site navigation trails, or responses to email…
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Deep Learning, NLP, and Representations
neural networks , deep learning , representations , NLP , recursive neural networks
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Images that fool computer vision raise security concerns
Computers are learning to recognize objects with near-human ability. But Cornell researchers have found that computers, like humans, can be fooled by optical illusions, which raises security concerns.
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Deep Learning vs. Machine Learning vs. Pattern Recognition
For Data Scientists: Machine Learning vs Deep Learning discussion, Deep Learning vs Machine Learning, and what is difference between machine learning, pattern recognition, computer vision, robotics, and artificial intelligence.
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Rationality: From AI to Zombies
Between 2006 and 2009, senior MIRI researcher Eliezer Yudkowsky wrote several hundred essays for the blogs Overcoming Bias and Less Wrong, collectively called
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What you wanted to know about AI
Recently a number of famous people, including Bill Gates, Stephen Hawking and Elon Musk, warned everybody about the dangers of machine intelligence. …
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Life Lessons from Machine Learning
What comes to mind when you hear the term “Machine Learning”? A bunch of programmers hunched over their computers in a dark room, working on something completely virtual & divorced from reality…
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A Word Is Worth a Thousand Vectors
Standard natural language processing (NLP) is a messy and difficult affair. It requires teaching a computer about English-specific word ambiguities as well a...
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Neurons Gone Wild
To reject gods and spirits is easy: just bully them away in the name of science.
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Technology predictions
Some of these are probably apocryphal, but making predictions about the limits of technology is really hard: Space travel is utter bilge. - Dr. Richard van der Reit Wooley, space advisor to...
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Machine intelligence, part 2
This is part two of a a two-part post—the first part is here. THE NEED FOR REGULATION Although there has been a lot of discussion about the dangers of machine intelligence recently, there...
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Beginning deep learning with 500 lines of Julia
It has been a year and a half since I wrote the first version of this tutorial and it is time for an update. Knet (pronounced “kay-net”)...
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The AI Revolution: Our Immortality or Extinction
Part 2: "Our Immortality or Our Extinction". When Artificial Intelligence gets superintelligent, it's either going to be a dream or a nightmare for us.
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Machine intelligence, part 1
This is going to be a two-part post—one on why machine intelligence is something we should be afraid of, and one on what we should do about it. If you’re already afraid of machine intelligence,...
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Bayes' Theorem with Lego
Find Bayes' Theorem confusing? Let's break down this famous formula using Lego to help you build up a better intuition for this foundational concept!
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May Bayes Theorem Be with You
The frequentist paradigm enjoys the most widespread acceptance forstatistical analysis. Frequentist concepts such as confidence intervalsand p-values dominat...
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Automating Tinder with Eigenfaces
The website of Justin Long. Crockpotveggies is a collection of notes about Justin's own projects.
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