Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments. New posts will be published here first, and previous posts are archived on the Udacity blog.

Chen: Every new set of computer techniques will create a temporary imbalance in that the people who know the most about it are scarce, and therefore very expensive and not big in number. Then the imbalance works itself out as universities and groups and other places start training more and more of these people. So I think we're going to turn the corner on that in AI. Just as an anecdote, the top three AI computer science classes at Stanford are "Intro to AI," "Natural Language Processing" and "Vision Processing." … Each one of those classes has or is approaching 1,000 students. We're going to work through the imbalance and get more trained people to the frontlines.

I recently completed Andrew Ng's computer vision course on Coursera. Ng does an excellent job at explaining many of the complex ideas required to optimize any computer vision task. My favourite component of the course was the neural style transfer section (see lesson 11), which allows you to create artwork which combines the style of Claud Monet with the content of whichever image you would like. In this article, I will discuss 11 key lessons that I learned in the course. Note that this is the fourth course in the Deep Learning specialization released by deeplearning.ai.

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. PAL Robotics' StockBot and I share the same holiday party strategy: Find a corner to stand in, and slowly rotate. At the Autonomous Systems Lab, the Robotic Systems Lab, and the Vision for Robotics Lab at ETH Zurich, sometimes robots do everything to fulfill a child's dream, even if that dream is of some freaky unicorn monster thing.

The line between man and machine looks set to become increasingly blurred if one robot's quest to understand love is anything to go by. Bina48 is reportedly the first android to pass a college level course and her chosen subject was the philosophy of love. She participated in class discussions via Skype, before attending a final session in person. The line between man and machine looks set to become increasingly blurred if one robot's quest to understand love is anything to go by. Bina48 is the creation of American robotics expert David Hanson, who believes that artificial lifeforms can foster better connections with people if they take on a human form.

KINGSTON, R.I., Dec. 20, 2017--Students across the University of Rhode Island will soon have access to a new laboratory where they can explore research involving robotics, wearable technology, smart cities and public policy. The Artificial Intelligence Lab, or AI Lab, is scheduled to open in fall 2018 at the Robert L. Carothers Library and Learning Commons on the Kingston campus. The lab is the first of its kind in a college library nationwide, says the lab's team. The lab will support two complementary goals. On the one hand, it will enable students to explore projects on robotics, natural language processing, smart cities, smart homes, the Internet of Things and big data, with tutorials at beginner through advanced levels.

Andrew Ng thinks a lot about getting machines ... to think for us. He was the founder of the artificial intelligence research project Google Brain. And his latest company is called Landing.AI. The startup has partnered with the electronics manufacturing giant Foxconn, as well as other companies in Japan, Taiwan, and mainland China to bring more AI into the manufacturing space. Ng says that AI has the potential to revitalize the factory floor.

"Behave rationally" does not always achieve the goals successfully. In the early 1980s, Lecture notes cover much of the course material and will be available online before class. Note: the text is on-line.

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Azure Machine Learning (AzureML) is considered as a game changer. Azure Machine Learning Studio is a great tool to learn to build advance models without writing a single line of code using simple drag and drop functionality.