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.

With continual advancements in artificial intelligence, it won't be long before machine learning touches more and more aspects of our lives – including the way we drive. As more autonomous cars hit the road, the way we can expect to drive in the future is shifting. In this course, you'll learn the robotics fundamentals and machine learning concepts that go into self-driving cars. The course will help you develop an understanding of artificial neural networks, and some of the complex algorithms that are applied in these vehicles. Increase your knowledge about machine learning with The Robotics & Machine Learning of Self-Driving Cars.

Long Short-Term Memory (LSTM) Recurrent Neural Networks are a powerful type of deep learning suited for sequence prediction problems. A possible concern when using LSTMs is if the added complexity of the model is improving the skill of your model or is in fact resulting in lower skill than simpler models. In this post, you will discover simple experiments you can run to ensure you are getting the most out of LSTMs on your sequence prediction problem. Get the Most out of LSTMs on Your Sequence Prediction Problem Photo by DoD News, some rights reserved. The LSTM recurrent neural network has a few key capabilities that give the method its impressive power on a wide range of sequence prediction problems.

As artificial intelligence alters work done in all manner of industries, companies and governments can help workers transition by supporting incomes and facilitating skills training. The pressure is on for companies and governments to address the ways that artificial intelligence (AI) is altering the future of work. In this video, recorded at the Aspen Ideas Festival in June, experts--Markle Foundation CEO and president Zoë Baird; Joy Buolamwini, founder of the Algorithmic Justice League at MIT Media Lab; James Fallows, national correspondent of the Atlantic; and Coursera cofounder Andrew Ng--discuss how to make the transition into this new age easier for everyone. Andrew Ng: AI is the new electricity. About 100 years ago, we started rolling out electricity in the United States, and it changed every single major industry, everything ranging from healthcare and culture to transportation, communications, and manufacturing are now all electricity powered.