Category Archives: Machine Learning

Statistics and Machine Learning

The image above is taken from a data mining primer course SAS offered in 1998. Aatash Shah, CEO of Edvancer Eduventures, in KDnuggets: Machine learning requires no prior assumptions about the underlying relationships between the variables. You just have to throw … Continue reading

Posted in Machine Learning, Statistics | Tagged | 1 Comment

The Role of Data in Statistical Modeling and Machine Learning

Oliver Schabenberger, EVP and CTO, SAS, on The difference between Statistical Modeling and Machine Learning: We can… distinguish statistical modeling, classical machine learning and modern machine learning by the role of the data. In statistical modeling, the data guide us to … Continue reading

Posted in AI, deep learning, Machine Learning, neural networks, Statistics | Tagged | 1 Comment

What is Machine Learning

Image | Posted on by | Tagged | 1 Comment

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