InformationWeek: 5 Free Online Machine Learning Courses. “Demand for machine learning professionals is growing faster than for any other job. If you are looking to gain the skills needed for that next stage in your career, check out our short list of free online machine learning courses.” Well annotated.
TechCrunch: Google and Coursera launch a new machine learning specialization. “Over the last few years, Google and Coursera have regularly teamed up to launch a number of online courses for developers and IT pros. Among those was the Machine Learning Crash course, which provides developers with an introduction to machine learning. Now, building on that, the two companies are launching a machine learning specialization on Coursera. This new specialization, which consists of five courses, has an even more practical focus.”
Ars Technica: Microsoft continues its quest to bring machine learning to every application. “We’ve been tracking Microsoft’s work to bring its machine learning platform to more developers and more applications over the last several years. What started as narrowly focused, specialized services have grown into a wider range of features that are more capable and more flexible, while also being more approachable to developers who aren’t experts in the field of machine learning. This year is no different. The core family of APIs covers the same ground as it has for a while—language recognition, translation, and image and video recognition—with Microsoft taking steps to make the services more capable and easier to integrate into applications.”
The Next Web: OpenAI’s Debate Game teaches you and your friends how to lie like robots. “OpenAI’s new Debate Game teaches machines how to argue and lie in order to get what they want. And you can play it with your friends even if none of you are robots.”
Fanatical Futurist: A new form of “Master algorithm” could pave the way for super intelligent machines. “You can be excused for not noticing that a scientist named Daniel Buehrer, a retired professor from the National Chung Cheng University in Taiwan, recently published a white paper proposing a new class of mathematics that many feel could one day lead to the birth of machine ‘consciousness,’ and perhaps even Artificial Super Intelligence (ASI) itself which is slated to arrive circa 2045. After all, keeping up with all the breakthroughs in the field of Artificial Intelligence (AI), from the development of new Artificial General Intelligence (AGI) architectures to the AI’s, for example, from DeepMind, that are self-evolving and fighting each other, can be exhausting.”
Forbes: The Amazing Ways Google Uses Artificial Intelligence And Satellite Data To Prevent Illegal Fishing. “Using the publicly broadcast Automatic Identification System for shipping, machine learning algorithms have been shown to be able to accurately identify illegal fishing activity in protected areas. This works in much the same way as the ‘cat or horse?’ example for image recogntion I gave above. By plotting a ship’s course and comparing it to patterns of movement where the ship’s purpose is known, computers are able to ‘recognize’ what a ship is doing.”
TechCrunch: CometML wants to do for machine learning what GitHub did for code. “Comet.ml allows data scientists and developers to easily monitor, compare and optimize their machine learning models. The New York-based company is launching its product today, after completing the TechStars-powered Amazon Alexa Accelerator program and raising a $2.3 million seed round led by Trilogy Equity partners, together with Two Sigma Ventures, Founders Co-Op, Fathom Capital, TechStars Ventures and angel investors.”