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Infographic: The Jobs Artificial Intelligence Will Take Over First

We’re poised for the biggest transformation in the world’s workforce since the industrial revolution, and it’s all thanks to AI. Breakthroughs in technology mean many different jobs – 30% of jobs in Britain – could be changed because of the introduction of automation. A new infographic by RS Online shows how different sectors in the working world will be affected by artificial intelligence. So

Data Scientist Is Still a Hot Job and Pays Well Too

“Data Scientist: The Sexiest Job of the 21st Century.” So proclaimed the Harvard Business Review in 2012. Six years later and the job of a data scientist has only grown sexier. More employers than ever are looking to hire data scientists. Yet while the supply of data science job seekers is growing, it’s far outstripped by the rising demand in postings, meaning there potentially may not be enough skilled applicants. So the bargaining power in data science remains with the job seekers, according to new research from Indeed.

Video: New Survey Looks at What’s Driving Companies to the Cloud

In this video from KubeCon 2018 in Seattle, Abby Kearns from the Cloud Foundry Foundation looks at the results of a recent survey on key factors driving the enterprise to the Cloud. “We’re seeing a virtuous cycle, as comfortability with one technology results in lightning-speed adoption of more advanced technologies. In a decade, we can expect serverless to be as commonplace as PaaS.”

Ask a TA: Everything You Need to Know About MIT xPRO’s Online Data Science Course

Eric Bradford, a Teaching Assistant for MIT xPRO’s Online Data Science Course, Data Science and Big Data Analytics: Making Data-Driven Decisions, gives his insights into the unique seven-week course. The seven-week course explores the theory and practice behind recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine learning, and big data analytics. The next online data science course begins Feb. 4, and is currently enrolling.

Developing Perceptive Machines that See and Reason Like Humans

The National Science Foundation has awarded computer scientist Subhransu Maji at the University of Massachusetts Amherst its Faculty Early Career Development (CAREER) award, a five-year, $545,586 grant, to support his work in computer vision and artificial intelligence (AI).

Where You Go Tells Who You Are—and Vice Versa

Researchers from Columbia University use data science tools to uncover human mobility patterns; new method will improve traffic prediction, urban planning, and other transportation needs. Mining data to analyze tracking patterns, Sharon Di, assistant professor of civil engineering and engineering mechanics at Columbia Engineering, has discovered that she can infer the population travel demand level in a region from the trajectories of just a portion of travelers.

Using Bayesian Optimization to Tune Machine Learning Models

The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The talk briefly introduces Bayesian Global Optimization as an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is time-consuming or expensive.

New Guide Offers Databricks Unified Analytics Platform Machine Learning Use Cases

The fields of machine learning and deep learning are on the brink of unprecedented breakthroughs across a variety of verticals. And according to a new report from Databricks, “data is the new fuel,” for these market advancements. Download the new white paper today, “Four Real-Life Machine Learning Use Cases,” to explore Databricks Unified Analytics Platform use cases in the advertising, loan servicing, media industries and more.

Online Education is Paving a Smoother Path to Earning Data Science Skills

In this contributed article, Devavrat Shah, MIT Professor of Computer Science, highlights how many professionals are seeking rigorous training in data science skill, and want them without having to leave their day job. They need the practicality and flexibility that online learning provides, so the operative question becomes: can MOOCS deliver these skills without compromising quality?

The Data Scientist Shortage is Huge. Here’s How to Beat It.

In this special guest feature, Roberto Reif, Executive Director, Professional Development at Metis, discusses how the worldwide deficit of data scientists is real, but now that you’ve started thinking about your strategy and how you’ll resource the best people to help you execute it, it won’t seem so intimidating. Keep your eyes on the prize — people who can solve your specific problems — and you’ll be able to win the fight against the data scientist shortage.