Get started with Anaconda Python, the distro for data science

It provides a management GUI, a slew of scientifically oriented work environments, and tools to simplify the process of using Python for data crunching

Sourced through Scoop.it from: www.infoworld.com

By |2018-01-15T09:41:30-05:00January 15th, 2018|Categories: Scoop.it|Tags: , |

Auto-tuning data science: New research streamlines machine learning

A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.

Sourced through Scoop.it from: news.mit.edu

By |2017-12-22T08:26:54-05:00December 22nd, 2017|Categories: Scoop.it|Tags: , |

The Growing Influence of Data Science on Investing

The intelligent investor wants to know everything about a potential investment before sinking funds into it, and many portfolio managers today are finding a willing information partner in the big data available through today’s technology breakthroughs. Uncovering all that is needed to make a thoroughly informed investment decision in today’s age of advanced data science has never been easier, but still requires shrewd effort.

Sourced through Scoop.it from: internationalbanker.com

By |2017-11-30T08:40:40-05:00November 30th, 2017|Categories: Scoop.it|Tags: |

How Cloud Will Elevate Data Science Teams

As data-driven businesses continue to evolve, the cloud has become the common denominator that can equip data science teams with the right tools to efficiently manage and share intelligence across organizations.

Sourced through Scoop.it from: www.forbes.com

By |2017-11-07T00:41:33-05:00November 7th, 2017|Categories: Scoop.it|Tags: |

Inside the Washington Post’s popularity prediction experiment

A peek into the clickstream analysis and production pipeline for processing tens of millions of daily clicks, for thousands of articles.

Sourced through Scoop.it from: www.oreilly.com

By |2017-02-01T07:24:11-05:00February 1st, 2017|Categories: Scoop.it|Tags: , |