This Week in Data Science (February 14, 2017)

Posted on February 14, 2017 by Janice Darling

Here’s this week’s news in Data Science and Big Data.

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INTERESTING DATA SCIENCE ARTICLES AND NEWS

• IBM’s Watson and Bluemix step up: Free cloud-based push to boost tech skills – IBM aims to develop the tech skills of millions of young African for free using Watson AI and Bluemix cloud.
• Job trends for R and Python
  – A look at the recent job trends for R, Python and SAS.
• IBM launches cognitive computing hardware unit: Enter the Watson, Power 9 stack – IBM uses research and application to speed up training for Watson, neural networks and machine learning.
• – A current list of some useful apis for Machine Learning and Prediction.
• New IoT Cybersecurity Alliance formed by AT&T, IBM, others – IBM partners to form alliance to address concerns around IoT and solve its security challenges.
• 6 ways Business Intelligence is going to change in 2017 – How businesses will utilize data and its advantages.
• ​IoT devices will outnumber the world’s population this year for the first time – A prediction on the growth in number of IoT devices for the next three years.
• What is a Data Scientist?
  – A broad definition for the term Data Scientist.
• IBM’s big data meetup program approaches a significant milestone – IBM’s community of big data developers approaches 100,000 members.
• 5 Career Paths in Big Data and Data Science, Explained – Resources to sharpen skills required for 5 different paths in Data Science and Analytics.
• 6 Top Big Data and Data Science Trends 2017 – Predictions about Big Data and Data Science as the world becomes more dependent on Data.
• Top R Packages for Machine Learning – A ranking of the top Machine Learning Packages for R.
• Understanding data ownership in the data lake
  – Answers to questions dealing with the ownership of data and the importance of these questions.
• Infographic: The 4 Types of Data Science Problems Companies Face. – The difficulties surrounding solutions to Data Science Problems.
• Making the Most of Big Data Requires Effective Training in Data Science – A discussion of the type of training required to create effective data scientists.
• City enlists IBM’s Watson to fix outdated 311 system – How NYC will use IBM’s Watson to handle 311 calls.

FEATURED COURSES FROM BDU

• Big Data 101 – What Is Big Data? Take Our Free Big Data Course to Find Out.
• Predictive Modeling Fundamentals I
  – Take this free course and learn the different mathematical algorithms used to detect patterns hidden in data.
• Using R with Databases
  – Learn how to unleash the power of R when working with relational databases in our newest free course.

UPCOMING DATA SCIENCE EVENTS

• IBM Event: Big Data and Analytics Summit – February 14, 2017 @ 7:15 am – 4:45 pm, Toronto Marriott Downtown Eaton Centre Hotel 525 Bay St. Toronto Ontario.

Tags: analytics, Big Data, data science