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Generating Recommendations at Amazon Scale with Apache Spark and Amazon DSSTNE
In this post, I discuss an alternate solution; namely, running separate CPU and GPU clusters, and driving the end-to-end modeling process from Apache Spark.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 250 posts.
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Singular Value Decomposition Part 2: Theorem, Proof, Algorithm
I’m just going to jump right into the definitions and rigor, so if you haven’t read the previous post motivating the singular value decomposition, go back and do that first. This post will be theorem, proof, algorithm, data. The data set we test on is a thousand-story CNN news data set. All of the data, code, and…
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Two Weeks of Colorizebot
About two weeks ago we released ColorizeBot to wander around Reddit. This Reddit bot has started by coloring images on r/OldSchoolCool and a day after, spread all over Reddit. The bot was based on a pre-trained neural network - More information on the netwrok can be found here. After
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Towards deep symbolic reinforcement learning
Towards deep symbolic reinforcement learning Garnelo et al, 2016 Every now and then I read a paper that makes a really strong connection with me, one where I can’t stop thinking about the imp…
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Deep Q-Learning: Space Invaders
Ever since I learned about neural networks playing Atari games I wanted to reimplemnted it and learn how it works. Below you can see an AI playing Space Invaders. I trained it during my batch at Recurse Center on little over 50M frames.
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The Problem with Reality
Discover all the Meta Quest VR entertainment experiences. Enjoy streaming your favorite VR movies, tv shows, and live sport events. With VR, your living room is better than the theater.
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AI is always less impressive than is claimed
プログラミングでは開発言語を用いて、アプリやWebサービス、業務システムなどを動かす仕組みを作ります。 将来プログラマーとして働きたいなら、まずは開発言語の基本から理解し、手を動かしながら学ぶことが近道です。 本サイトでは、初心者がつまずきやすい点を先回りして解消しつつ、焦らず段階的にスキルを積み上げる学習手順、職業訓練校の活用方法、復習や制作のコツまで具体的に整理して紹介します。
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Intel acquires Movidius
Unlock more with Intel Core Ultra processors. Experience superior AI performance, all-day battery life, and pro-level graphics for work and play.
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Intel acquires Itseez, leading developer of OpenCV
Intel Newsroom delivers the latest news, announcements, and updates. Stay informed on Intel innovations.
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Understanding gradient descent
Gradient descent is a standard tool for optimizing complex functions iteratively within a computer program. Its goal is: given some arbitrary function, find a minumum. For some small subset of functions - those that are convex - there's just a single minumum which also happens to be global. For most realistic…
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Elasticsearch Based Image Search Using RGB Signatures
In my previous post , I described some experiments I was doing to reduce images to a Bag of Visual Words (BOVW) . My goal is to build a Con...
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Machine Learning Unconference
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
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Markov Chain Monte Carlo Sampling
📍 This article has moved. Read the current version at This is the third part in a short series of blog posts about quantum Monte Carlo (QMC). The series is derived from an introductory lecture I ga…
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A Proposal For the Dartmouth Summer Research Project on A.I. (1955)
A PROPOSAL FOR THE DARTMOUTH SUMMER RESEARCH PROJECT ON ARTIFICIAL INTELLIGENCE
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Language contains human biases, and so will machines trained on language corpora
I have a new draft paper with Aylin Caliskan-Islam and Joanna Bryson titled Semantics derived automatically from language corpora necessarily contain human biases. We show empirically that natural language necessarily contains human biases, and the paradigm of training machine learning on language corpora means that…
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What makes Bach sound like Bach? New dataset teaches algorithms classical music
MusicNet is the first publicly available large-scale classical music dataset designed to allow machine learning algorithms to tackle everything from automated m
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Train your own image classifier with Inception in TensorFlow
Posted by Jon Shlens, Senior Research ScientistAt the end of last year we released code that allows a user to classify images with TensorFlow model...
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Facebook AI Research Open Sources fastText
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
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Introduction to Mean Shift Algorithm
Its been quite some time since I wrote a Data Mining post . Today, I intend to post on Mean Shift – a really cool but not very well known algorithm. The basic idea is quite simple but the results a…
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A way to deal with enormous branching factors in strategy games
When you play Chess, there are on average something like 30 different moves you can make each turn. In other words, the branching factor is ...
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Autoencoding Blade Runner: reconstructing films with artificial neural networks
Reconstructing films with artificial neural networks
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