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NVIDIA to Train 100,000 Developers on Deep Learning in 2017

[GPU Technology Conference Coverage] To meet surging demand for expertise in the field of AI, NVIDIA announced that it plans to train 100,000 developers this year — a tenfold increase over 2016 — through the NVIDIA Deep Learning Institute. Analyst firm IDC estimates that 80 percent of all applications will have an AI component by 2020. The NVIDIA Deep Learning Institute provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology.

Online Education Gets Up Close and Personal as Big Data Improves Performance

In this special guest feature, Jerry Huang, Chief Operating Officer of iTutorGroup, discusses how the collection and analysis of Big Data will continue to dramatically change the landscape of learning and pave the way for optimized learning experiences, leading to even better student outcomes.

Quantifying Data Science

Our friends over at The Data Incubator just released a new series of data-driven ranking reports that showcase the quantitative methodologies the data science fellowship, hiring and training company uses to actively teach their fellows. The idea was to develop a more data-driven approach to what the company should be teaching in their data science corporate training and their free fellowship for masters and PhDs looking to enter data science careers in industry.

Making the Leap from Data Science Hopeful to Practitioner

It’s a familiar dilemma. You’ve done your research, read some books, taken some online classes – and at long last, you’re finally ready to get real-life work experience as a Data Scientist. In this contributed article, Dan Saber, Data Science Hiring Manager at Coursera, offers three important steps for successfully transitioning into a data science career.

Interview: Emily Glassberg Sands, Data Science Manager at Coursera

I recently caught up with Emily Glassberg Sands, Data Science Manager at Coursera, to talk about applying machine learning, neural networks, natural language processing, and big data analytics to the retail industry. Emily leads an awesome team of data scientists and data science managers working on growth, discovery, the learning experience, and a new enterprise offering. The team’s job is to help build a better Coursera through data-driven decisions and products.

Making the Most of Big Data Requires Effective Training in Data Science

In this special guest feature, Devavrat Shah, professor in MIT’s Department of Electrical Engineering and Computer Science, discusses the type of training data scientists need in order to glean the most value from big data.

Book Review: Deep Learning by Goodfellow, Bengio, and Courville

I don’t usually get excited about a new book for the field in which I’ve been deeply involved for quite a long time, but a timely and useful new resource just came out that provided me much anticipation. “Deep Learning” by three experts in the field – Ian Goodfellow, Yoshua Bengio, and Aaron Courville is destined to considered the AI-bible moving forward.

The Big Benefits of a Big Data Degree

In this special guest feature, Lauren Willison, Director of Admissions at Florida Polytechnic University, takes a critical look at the value of an advanced degree in big data in terms of job prospects and expected salary.

Learn Data Science: Eight (Easy) Steps

Our friends over at DataCamp have produced the “Become a Data Scientist in 8 Steps” infographic providing a view of the eight steps that you need to to through to learn data science. Some of these eight steps will be easier for some than for others, depending on background and personal experience, among other factors.

Benefits of Having a Data Scientist Career

With the continued upward trajectory of interest in getting on board with a data science career, our friends over at Simplilearn Solutions put together the compelling infographic below.