Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

Control of Mobile Robots is a course that focuses on the application of modern control theory to the problem of making robots move around in safe and effective ways. The structure of this class is somewhat unusual since it involves many moving parts - to do robotics right, one has to go from basic theory all the way to an actual robot moving around in the real world, which is the challenge we have set out to address through the different pieces in the course.

Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt to create one. Over the past few months, I've tried to spend a couple of hours every day understanding this field, be it watching Youtube videos or undertaking projects. I've been guided by older peers who've had far more experience than me, and now feel that I have ample experience to share my insights. All the information that I have compiled in this guide is intended for high schoolers wishing to excel in this up and coming field.

Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services in SQLServer eliminates the need for data movement. Instead of transferring large and sensitive data over the network or losing accuracy with sample csv files, you can have your R/Python code execute within your database. Easily deploy your R/Python code with SQL stored procedures making them accessible in your ETL processes or to any application. You can install and run any of the latest open source R/Python packages to build Deep Learning and AI applications on large amounts of data in SQL Server.

Artificial intelligence is doing something that is human-like, doing things that appear human in terms of performance, although more recently, it's become more associated with some of the modern kinds of machine-learning-type approaches, using large amounts of data. You don't want to think about AI as being general intelligence like a human's. It works within a narrow domain and it tends to be applied in specific areas, but the term has become very widely used for anything where there's some kind of decision-making process done by computers. There are several different kinds of things that AI is able to do for language learning and literacy. One of the areas I think is key is the assessment of more open-ended responses, of things that beforehand were thought to be only at the level that could be assessed by humans.

The new MITx MicroMasters Program in Statistics and Data Science, which opened for enrollment today, will help online learners develop their skills in the booming field of data science. The program offers learners an MIT-quality, professional credential, while also providing an academic pathway to pursue a PhD at MIT or a master's degree elsewhere. "There are many online programs that provide a professional overview of data science, but they don't offer the level of detail learners gain from an actual, residential master's program," says Professor Devavrat Shah, faculty director of the program and MIT professor in the Department of Electrical Engineering and Computer Science (EECS). "This new MicroMasters program in Statistics and Data Science is bringing the quality, rigor, and structure of a master's-level, residential program in data science at MIT to a wider audience around the world, and at a very accessible price, so people can learn anywhere they are while keeping their day jobs." In all, seven universities will be accepting the new MicroMasters Statistics and Data Science (SDS) credential towards a master's degree, including the Rochester Institute of Technology (United States), Doane University (United States), Galileo University (Guatemala), Reykjavik University (Iceland), Curtin University (Australia), Deakin University (Australia), and RMIT University (Australia).

IMAGE: This is the Rice University's PlinyCompute team includes (from left) Shangyu Luo, Sourav Sikdar, Jia Zou, Tania Lorido, Binhang Yuan, Jessica Yu, Chris Jermaine, Carlos Monroy, Dimitrije Jankov and Matt... view more HOUSTON -- (June 11, 2018) -- Computer scientists from Rice University's DARPA-funded Pliny Project believe they have the answer for every stressed-out systems programmer who has struggled to implement complex objects and workflows on'big data' platforms like Spark and thought: "Isn't there a better way?" Rice's PlinyCompute will be unveiled here Thursday at the 2018 ACM SIGMOD conference. In a peer-reviewed conference paper, the team describes PlinyCompute as "a system purely for developing high-performance, big data codes." Like Spark, PlinyCompute aims for ease of use and broad versatility, said Chris Jermaine, the Rice computer science professor leading the platform's development. Unlike Spark, PlinyCompute is designed to support the intense kinds of computation that have only previously been possible with supercomputers, or high-performance computers (HPC). "With machine learning, and especially deep learning, people have seen what complex analytics algorithms can do when they're applied to big data," Jermaine said.

A nine-year-old girl is in rehab after becoming so addicted to a video game she wet herself to avoid moving and hit her father when he tried to stop her playing. The primary school pupil became obsessed with Fortnite, which been downloaded more than 40 million times since it was launched last July. She would secretly play the survival shooter game during the night and didn't even get up to use the toilet because she couldn't prise herself away from the screen. The girl, who is now in intensive therapy to combat her addiction, would play for up to 10 hours a day. Worn out from all-night sessions, she dozed off at school.

Memrise, a UK startup whose eponymous language-learning app employs machine learning and localised content to adapt to users' needs as they progress through their lessons, has raised another $15.5 million in funding to expand its product. The funding comes after a period of strong growth: Memrise has now passed 35 million users globally across its 20 language courses, and it tipped into profitability in Q1 of this year. Ed Cooke, who co-founded the app with Ben Whately and Greg Detre, told TechCrunch that this places it as the second-most popular language app globally in terms of both users and revenues. This round, a Series B, was led by Octopus Ventures and Korelya Capital, along with participation from existing investors Avalon Ventures and Balderton Capital. Memrise is not disclosing its valuation -- it has raised a relatively modest $22 million to date -- but Cooke (who is also the CEO) said the plan will be to use the funding to expand its AI platform and add in more features for users.

Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible. This team has decades of practical experience in working with Java and with billions of rows of data. Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided. Taught by a Stanford-educated, ex-Googler and an IIT, IIM – educated ex-Flipkart lead analyst.