This Week in Data Science (March 7, 2017)
Posted on March 7, 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
- R Packages worth a look – A brief list of useful R packages.
- IBM, Maersk aim to speed up shipping with blockchain technology –
IBM and Maersk will use blockchain technology to expedite transactions in the shipping supply chain.
- Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind – A February 2017 report on openings for Data Science positions.
- Artificial Intelligence: here’s what you need to know to understand how machines learn. – How becoming informed about Machine Learning can remedy fears surrounding AI.
- The Data Science Project Playbook
– Small steps to identify and create valuable Data Science projects.
- 7 More Steps to Mastering Machine Learning With Python – An Additional seven steps to master the Machine Learning using Python.
- How to start a Data Science project in Python – Basics for producing a Data Science product efficiently.
- An Overview of Python Deep Learning Frameworks – A brief overview of seven (7) Python Machine Learning frameworks.
- IBM Spins Out Analytics Platform For Utilities
– IBM and VELCO will work to create a company specializing in smart energy via a new cloud based analytics platform.
- Moving from R to Python: The Libraries You Need to Know – A comparison of Python Packages to their R Library equivalents.
- 25 Big Data Terms Everyone Should Know – Basic concepts and terms for beginners in Big Data and Data Science.
- The Anatomy of Deep Learning Frameworks – Common principles to aid in the understanding of deep learning frameworks.
- How to Boost your Career in Big Data and Analytics – The necessary steps to advance your career in Big Data and Analytics.
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.
- Deep Learning with TensorFlow – Take this free TensorFlow course and learn how to use Google’s library to apply deep learning to different data types in order to solve real world problems.