Schooling – MS Applied Math, Illinois State – MBA, Illinois State How to get ahold of me: – @rawkintrevo – trevor.grant@ibm.com Hopefully after this you – Won't keep using words wrong – Will know when someone else is be pretentious or don't Bonus material: – We build a fairly cool, yet super simple online recommender – Apache Flink Apache Spark Apache Mahout Why does any of this matter?

Last night, OpenAI's Dota 2 bot beat the world's most celebrated professional players in one-on-one battles, showing just how advanced these machine learning systems are getting. The bot beat Danil "Dendi" Ishutin rather easily at The International, one of the biggest eSports events in the world, and remains undefeated against the world's top Dota 2 players. Elon Musk's OpenAI trained the bot by simply copying the AI and letting the two play each other for weeks on end. "We've coached it to learn just from playing against itself," said OpenAI researcher Jakub Pachoki. "So we didn't hard-code in any strategy, we didn't have it learn from human experts, just from the very beginning, it just keeps playing against a copy of itself. It starts from complete randomness and then it makes very small improvements, and eventually it's just pro level."

We've all heard the warning cries: automation will disrupt entire industries and put millions of people out of jobs. In fact, up to 45 percent of existing jobs can be automated using current technology. However, this may not necessarily apply to the education sector. After a detailed analysis of more than 2,000-plus work activities for more than 800 occupations, a report by McKinsey & Co states that of all the sectors examined, "…the technical feasibility of automation is lowest in education." There is no doubt that technological trends will have a powerful impact on global education, both by improving the overall learning experience and by increasing global access to education.

If the next era of human progress is built using AI, who gets to engineer it? Who will have the coding skills to use the software for creating AI products, or even more importantly, the skills to write that software? In an attempt to make the answer to those questions "anyone who wants to," Andrew Ng is releasing a new set of courses teaching deep learning on Coursera, the online learning platform he co-founded in 2012. Coursera was originally set up to offer an online class in machine learning; deep learning is a variety of that, involving exceptionally large datasets. The original machine learning course attracted more than 2 million students, Ng tells MIT Tech Review.

Students at John Burroughs High School will soon learn how to create and develop their own video games for computers and smartphone apps using a new textbook. The textbook is "Learn Mobile Game Development in One Day Using GameSalad" by Jamie Cross, a Pennsylvania-based computer programmer, and it received approval Thursday night from the Burbank Unified school board. Thirty-six copies will be purchased at $36.99 each for a total of roughly $1,500, according to a staff report. Students enrolled in the introductory computer course called Digital Applications will use the textbook as supplemental material to the GameSalad software, a coding program that uses a "drag-and-drop platform" to teach the fundamentals of computer science. The material is geared toward students who lack prior game-development experience.

By Cecile Alper-Leroux Smart technologies powered by machine learning, natural language processing, augmented intelligence and distributed data collection interfaces are poised to transform the workplace and the world of HR leaders. In this blog post, you will learn about the potential virtues of ambient HR and virtual reality experiences for the future of work. Read on to decide if HR is ready. Note that, regardless of the technology, putting people first is a must. Employees today want it all… and so do their employers!

In case you missed them, here are some articles from July of particular interest to R users. A tutorial on using the rsparkling package to apply H20's algorithms to data in HDInsight. Several exercises to learn parallel programming with the foreach package. SQL Server 2017, with many new R-related capabilities, is nearing release. Ali Zaidi on using neural embeddings with R and Spark to analyze Github comments.

The course is a new one by Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain. It will start Aug 15. About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.

AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries – as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It's something that's moving beyond the realm of data science – if you're a Java developer, this book gives you a great opportunity to expand your skillset. Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you've got to grips with the fundamental mathematical principles, you'll start exploring neural networks and identify how to tackle challenges in large networks using advanced algorithms.

The Deep Learning Specialization consists of five different courses. The courses are free to take, but you need to sign up for a subscription of $49/month if you want access to the graded assignments or earn certificates. There is a seven day free trial. The individual courses are free, but you need to visit the course pages separately (you can't sign up to them from the Specialization page). Though the courses officially start on 15 August, the course materials for the first three courses are already available.