Category Archives: Machine Learning
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
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
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
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 Artificial Intelligence, Data Science, Deep Learning, Machine Learning
Tagged KDnuggets
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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
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
AI: The Story So Far, Stuart Russell (Video)
[youtube https://www.youtube.com/watch?v=zBCOMm_ytwM] 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 … Continue reading
Machine Learning, Artist’s Rendition
[vimeo 176389707 w=640 h=360] 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 … Continue reading
Machine Learning Applications by Industry
Louis Columbus, Machine Learning Is Redefining the Enterprise in 2016 Machine learning’s ability to scale across the broad spectrum of contract management, customer service, finance, legal, sales, quote-to-cash, quality, pricing and production challenges enterprises face is attributable to its ability to … Continue reading
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Artificial Intelligence Startups in Healthcare
CB Insights: The startups [above] have raised more than $870M in aggregate funding since 2011. This year has seen some notable deals involving companies on the map: New York-based AiCure raised $12.3M in Series A funding and London-based health services … Continue reading
Posted in Artificial Intelligence, Deep Learning, Machine Learning, startups
Tagged CB Insights
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