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 Learning

What'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 Learning

tagbox · 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 Intelligence

This was my favorite photo of the AlphaGo summit. Cheerful masters of Team China brought joy to us watching their game of highest caliber. https://t.co/JGhOan1JEx

Understand 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 …

Building A Machine Learning Platform to Predict User Behavior on Mesos

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 Learning

Machine Learning Yearning

The 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 Science

Machine 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 Learning

Guest 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 …

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