Category Archives: Machine Learning

Who needs economists when ‘the data speak for themselves’?

The Economist: Machine learning is still new enough for the backlash to be largely restricted to academic eye-rolling. But some familiar themes are emerging in this latest craze. In principle, these new techniques should protect economists from their own sloppy … Continue reading

Posted in Big Data Analytics, Machine Learning | 1 Comment

O’Reilly AI Conference: 12 Observations About Artificial Intelligence

At the inaugural O’Reilly AI conference, 66 artificial intelligence practitioners and researchers from 39 organizations presented the current state-of-AI: From chatbots and deep learning to self-driving cars and emotion recognition to automating jobs and obstacles to AI progress to saving … Continue reading

Posted in AI, Intelligent Machines, Machine Learning | 1 Comment

3 Takes on Debugging Machine Learning

S. Zayd Enam: The difficulty is that machine learning is a fundamentally hard debugging problem. Debugging for machine learning happens in two cases: 1) your algorithm doesn’t work or 2) your algorithm doesn’t work well enough. What is unique about … Continue reading

Posted in AI, Machine Learning | 1 Comment

Current Capabilities of Artificial Intelligence (AI)

Andrew Ng: Surprisingly, despite AI’s breadth of impact, the types of it being deployed are still extremely limited. Almost all of AI’s recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B)… … Continue reading

Posted in AI, Machine Learning, Uncategorized | Tagged | 1 Comment

Machine Learning and AI Market Landscape, 2016

Shivon Zilis and James Cham, O’Reilly: For the first time, a “one stop shop” of the machine intelligence stack is coming into view—even if it’s a year or two off from being neatly formalized. The maturing of that stack might explain why … Continue reading

Posted in AI, Machine Learning | Tagged , | 5 Comments

Visually Linking AI, Machine Learning, Deep Learning, Big Data and Data Science

Source: Battle of the Data Science Venn Diagrams HT: KDnuggets What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? Over the past few years AI has exploded, and especially since 2015. Much of that has to do with the … Continue reading

Posted in AI, Data Science, deep learning, Machine Learning | Tagged | 3 Comments

Gartner Hype Cycle for Emerging Technologies 2016: Deep Learning Still Missing

For the 22nd year, Gartner has released its much-discussed hype cycle report on emerging technologies, “providing a cross-industry perspective on the technologies and trends that business strategists, chief innovation officers, R&D leaders, entrepreneurs, global market developers and emerging-technology teams should … Continue reading

Posted in AI, deep learning, Machine Learning | Tagged | 4 Comments

Artificial Intelligence and Machine Learning in Focus at Intel Analytics Summit

From the most recent edition of the tech bible: Moore’s Law begat faster processing and cheap storage which begat machine learning and big data which begat deep learning and today’s AI Spring. In her opening keynote at the Intel Analytics … Continue reading

Posted in AI, Machine Learning | Tagged | 2 Comments

AI: The Story So Far, Stuart Russell (Video)

Machine Learning Research Institute: As previously announced, we recently ran a 22-day Colloquium Series on Robust and Beneficial AI (CSRBAI) at the MIRI office, co-hosted with the Oxford Future of Humanity Institute. The colloquium was aimed at bringing together safety-conscious … Continue reading

Posted in AI, Machine Learning | Tagged | 1 Comment

Machine Learning, Artist’s Rendition

Motherboard: Jakob Werner, a 22-year-old animator and visual design student in Germany, decided to interpret the idea of machine learning a bit more literally “in order to create a sarcastic view at our society and into the future.” The result … Continue reading

Posted in AI, Machine Learning, Uncategorized | Tagged | 1 Comment