Learning and Softcomputing
By Ulrich Hoffmann | News about machine learning
Bootstrapping Reinforcement Learning
How we built reinforcement learning datasets with Human-AI Interaction at Digg<p>There are 3 overarching ways to do machine learning. There’s Supervised …
Machine LearningWhat's New in Deep Learning Artificial Intelligence from NVIDIA
The Intelligent Industrial Revolution<p>Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer …
Deep Learningtagbox · Docs · machinebox.io · Machine learning in a box
Tagbox generates tags that describe the contents of an image or photograph.<p>Uses for tagbox<p>This capability has a variety of utilities:<p>Automatically …
AlphaGo retires from competitive Go after defeating world number one 3-0
AlphaGo is going out on top. After beating Ke Jie, the world’s best player of the ancient Chinese board game Go, for the third time today at the Future of Go Summit in Wuzhen, Google’s DeepMind unit announced that it would be the last event match the AI plays. In a statement, DeepMind co-founder …
Artificial IntelligenceUnderstand these 5 basic concepts to sound like a machine learning expert
Most people seem a bit intimidated or confused by machine learning. What is it? Where is it going? Can I have some money now please?<p>All valid …
CMSC 35246 Deep Learning - University of Chicago
In many real world Machine Learning tasks, in particular those with perceptual input, such as Vision and Speech, the mapping from raw data to the …
A quick look at Support Vector Machines
Mar 19, 2017 #machine-learning<p>Support Vector Machines (SVMs) are a popular machine learning algorithm with lots of usages and I learned something …
Distill: Supporting Clarity in Machine Learning
Posted by Shan Carter, Software Engineer and Chris Olah, Research Scientist, Google Brain Team Science isn't just about discovering new re...
Fraudulent claims made by IBM about Watson and AI
Announcing<p>Welcome to the future of learning - the way it was always meant to be.<p>Courses start June 2017. Enroll today.<p>They are not doing "cognitive …
PyCNN: Image Processing with Cellular Neural Networks in Python
<b>Cellular Neural Networks (CNN)</b> [wikipedia] [paper] are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are …
Machine Learning Exercises In Python, Part 1
<i>This post is part of a series covering the exercises from Andrew Ng's machine learning class on Coursera. The original code, exercise text, and data</i> …
AI’s Road to the Mainstream: 20 Years of Machine Learning
When I enrolled in Computer Science in 1995, Data Science didn’t exist yet, but a lot of the algorithms we are still using already did. And this is …
Understanding gradient descent
Gradient descent is a standard tool for optimizing complex functions iteratively within a computer program. Its goal is: given some arbitrary …
Deep LearningThe Deep Learning Video Collection: 2016
Learn about the very latest in deep learning techniques for tools such as TensorFlow, Spark, and GraphLab with this video collection of every talk on …
News & Blog
9 March 2017<p>Imagine a service that could give mathematical assurance about what is happening with each individual piece of personal data, without …
Multivariable Calculus
Welcome!<p>This is one of over 2,200 courses on OCW. Find materials for this course in the pages linked along the left.<p><b>MIT OpenCourseWare</b> is a free & …
Google DeepMind AI learns to play 'Montezuma's Revenge'
Back in 2015, Google-owned company DeepMind gave its AI access to a series of Atari 2600 games, 49 of which it learned to play its own. One particular title was a bit too complicated for the technique it used, though: <i>Montezuma's Revenge</i>. Now, the team has figured out how to make it "curious" enough …
Deep Compression - Papers We Love SG
Benefitted from this video? Click here to Support our efforts<p><b>Published on: Tuesday, 31 May 2016</b><p>Speaker: Brahim Hamadicharef<p>Deep Compression: …
All-in-one Docker image for Deep Learning
Here are Dockerfiles to get you up and running with a fully functional deep learning machine. It contains all the popular deep learning frameworks …
Where does the Sigmoid in Logistic Regression come from?
<b>Note: The title of this post is circular. But I use/abuse it because of the post linked below.</b>I noticed on the Hacker News front page (and via …
Data ScienceMachine Learning for Musicians and Artists
Open For Enrollment<p>Course Description<p>Have you ever wanted to build a new musical instrument that responded to your gestures by making sound? Or …
How do you use FPGAs to accelerate machine learning?
AI now completely dominates image recognition because CNNs (convolutional neural networks) outperform competing machine implementations. They even …
Machine LearningGuest Post (Part I): Demystifying Deep Reinforcement Learning - Nervana
Two years ago, a small company in London called DeepMind uploaded their pioneering paper “Playing Atari with Deep Reinforcement Learning” to Arxiv. …
Video Recordings of the ICML'15 Deep Learning Workshop
These are <b>slide-synchronized video recordings</b> from the ICML’15 Deep Learning Workshop I organized with Kyunghyun Cho, Yann LeCun, Max Welling, …
Resources
Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with …