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This Week in Data Science - Top 5 News - April 26, 2019

What's new in data science? Flip through this week's Top 5 to read a report on the most coveted skills for data scientists, top universities building AI labs, data science workstations for AI deployment, and more.

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This Week in Data Science - Top 5 News - April 26, 2019

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  1. DATA SCIENCE TOP 5 INSIGHTS AND INNOVATIONS FOR BUSINESS LEADERS APRIL 26, 2019

  2. THE RACE TO STAY AHEAD WITH DATA SCIENCE IS ON 2

  3. BUSINESS LEADERS HAVE TURNED TO DATA SCIENCE TO CREATE DIFFERENTIATED SERVICES AND GAIN A COMPETITIVE ADVANTAGE. SEE THIS WEEK’S TOP 5 HEADLINES ON WHAT’S NEW IN DATA SCIENCE. 3

  4. DATA SCIENCE TOP 5 #1 #1 MOST IN-DEMAND DATA SCIENCE SKILLS INCLUDE ML AND PYTHON #2 #2 THREE LEADING UNIVERSITIES JOINED THE NVIDIA AI LABS PROGRAM #3 #3 DATA SCIENCE WORKSTATIONS ARE TRANSFORMING AI DEPLOYMENT #4 #5 #4 END-TO-END DATA SCIENCE DRIVES BUSINESS DECISIONS AT LINKEDIN #5 DATA SCIENCE, THE FOURTH PILLAR OF THE SCIENTIFIC METHOD 4

  5. MOST IN-DEMAND DATA SCIENCE SKILLS INCLUDE ML AND PYTHON #1 “As the role of data scientist grows in magnitude, it's more important than ever to stay current on today's most in-demand data science skills. But it's not just the programming and mathematical skills that data scientists need to hone; domain and business knowledge is equally valuable. ” “The top tech skills employers look for most in data scientists are machine learning and expertise in Python, R, SQL and Hadoop, according to research results published in April 2019 by Indeed, one of the top jobs sites.” LEARN MORE SOURCE: https://searchbusinessanalytics.techtarget.com/feature/Most-in-demand-data-science-skills-include-ML-Python 5

  6. THREE LEADING UNIVERSITIES JOINED THE NVIDIA AI LABS PROGRAM #2 “NVIDIA is partnering with three leading universities — Georgia Tech, the University of California, Davis, and Texas A&M — as part of our NVIDIA AI Labs program, to build the future of graph analytics on GPUs. NVIDIA’s work with these three new NVAIL partners aims to ultimately create a one-stop shop for customers to take advantage of accelerated graph analytics algorithms.” LEARN MORE SOURCE: https://news.developer.nvidia.com/graph-technology-leaders-combine-forces-to-advance-graph-analytics/?ncid=em-wee-n1-83901 6

  7. DATA SCIENCE WORKSTATIONS ARE TRANSFORMING AI DEPLOYMENT #3 With more data available than ever before for data scientists, it’s crucial to have the right software and hardware solutions to get faster time to insight. The combination of NVIDIA’s CUDA-X AI GPU-accelerated software, including RAPIDS, and the new NVIDIA-powered data science workstations serve as an integrated hardware and software solution for data science that allows you to bypass traditional data center setups to get faster performance and real- world benefits. LEARN MORE SOURCE: https://info.nvidia.com/transforming-ai-development-data-science-workstation-reg-page.html 7

  8. END-TO-END DATA SCIENCE DRIVES BUSINESS DECISIONS AT LINKEDIN #4 In this episode of This Week in Machine Learning & AI, Burcu Baran, Senior Data Scientist at LinkedIn, joined the podcast to talk about each phase of the machine learning production process, how her “horizontal” team works with other more “vertical” teams, best practices when dealing with data partitioning at scale, and more. LEARN MORE SOURCE: https://twimlai.com/twiml-talk-256-end-to-end-data-science-to-drive-business-decisions-at-linkedin-with-burcu-baran/ 8

  9. DATA SCIENCE, THE FOURTH PILLAR OF THE SCIENTIFIC METHOD #5 “NVIDIA CEO Jensen Huang revived a decade-old debate last month when he said that modern data science (AI plus HPC) has become the fourth pillar of the scientific method. While some disagree with the notion that statistical analysis alone can reveal undiscovered laws, the argument may be moot if data science continues its current course being an extremely useful and in-demand tool for all manners of scientific discovery.” Crop image to this box Can use the “FORMAT PAINTER” to copy outline style and apply to photo LEARN MORE SOURCE: https://www.datanami.com/2019/04/15/is-data-science-the-fourth-pillar-of-the-scientific-method/ 9

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