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June 2018 Blog Posts (93)

Bill Vorhies Retrospective: Part 3

Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.…

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Added by Vincent Granville on June 5, 2018 at 8:51am — No Comments

Is Model Bias a Threat to Equal and Fair Treatment? Maybe, Maybe Not.

Summary:  There is a great hue and cry about the danger of bias in our predictive models when applied to high significance events like who gets a loan, insurance, a good school assignment, or bail.  It’s not as simple as it seems and here we try to take a more nuanced look.  The result is not as threatening as many headlines make it seem.

 …

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Added by William Vorhies on June 5, 2018 at 8:00am — No Comments

PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R -- Part I

In a blog from three months ago, I wrote on "kind of" big data in R. The "kind of" was meant as a caveat that data size in R is limited by RAM. I also mentioned the potential of working with relational data stores for…

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Added by steve miller on June 4, 2018 at 11:00am — 2 Comments

How to Execute R and Python in SQL Server with Machine Learning Services

Introduction

Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services   in SQLServer eliminates the need for data movement. Instead of transferring large and sensitive data over the network or losing accuracy with sample csv files, you can have your R/Python code execute within your database. Easily deploy your R/Python code with SQL stored procedures making them accessible in your…

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Added by Kyle Weller on June 4, 2018 at 7:00am — 4 Comments

Uncovering Anxious Deep Learning for Ease

Deep Learning is an algorithm which has no theoretical limitations of what it can learn; the more data you give and the more computational time you give, the better it is – Sir Geoffrey Hinton (Google).

The true challenge to Artificial Intelligence is to prove and  solve the tasks that are easy for human to perform but hard to describe formally. Problems that we solve intuitively, that feel automatic, like…

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Added by Vinod Sharma on June 4, 2018 at 2:30am — No Comments

Machine Learning is Fun

This article was written by Adam Geitgey. Adam is interested in computers and machine learning. He likes to write about it. 

This guide is for anyone who is curious about machine learning but has no idea where to start. I imagine there are a lot of people who tried reading …

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Added by Emmanuelle Rieuf on June 3, 2018 at 6:00pm — No Comments

Weekly Digest, June 4

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcement
  • Transform Data Into Something Meaningful. …
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Added by Vincent Granville on June 3, 2018 at 10:30am — No Comments

Free Book: Applied Stochastic Processes

Full title: Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems. Published June 2, 2018. Author: Vincent Granville, PhD. (104 pages, 16 chapters.)

This book is intended for professionals in data science, computer science, operations research, statistics, machine learning, big data, and mathematics. In 100 pages, it covers many new topics, offering a fresh…

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Added by Vincent Granville on June 2, 2018 at 9:00am — 28 Comments

Fugues of Operational Market Alignment

In the “Ecology of Metrics,” I wrote about “alignment” being a type of metric; alignment can measure the extent to which an organization’s supply or capacity is matched against the demands or needs of the market.  For instance, in a call centre, it would be highly desirable to have agents available to respond to calls at “precisely” the same time that clients are making calls.  If alignment is off even by only 15 to 30 seconds, impatient clients might hang up and never call again.  Similarly…

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Added by Don Philip Faithful on June 2, 2018 at 5:00am — No Comments

Outlier detection with time-series data mining

In a previous blog I wrote about 6 potential applications of time series data. To recap, they are the following:

  1. Trend analysis
  2. Outlier/anomaly detection
  3. Examining shocks/unexpected variation
  4. Association analysis
  5. Forecasting
  6. Predictive analytics

Here I am focusing on outlier…

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Added by Mab Alam on June 1, 2018 at 2:00pm — No Comments

The Most Popular Language For Machine Learning Is ...

This article was written by Jean Francois Puget

What programming language should one learn to get a machine learning or data science job?  That's the silver bullet question.  It is debated in many forums.  I could provide here my own answer to it and explain why, but I'd rather look at some…

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Added by Emmanuelle Rieuf on June 1, 2018 at 9:00am — 1 Comment

Big Data to Pave the Way for Smart Cities

There have been a lot of discussions regarding the concept of a ‘Smart City’ for quite some time now. ‘Cities’ are now being considered ‘Future Smart Cities’.  But, wait! What’s the whole concept of smart cities? Theoretically, smart cities can transform the lives of people at numerous levels, such as less garbage, no pollution, energy savings and a lot more. Though the idea at first seems very appealing, the actual implementation of the concept has always been a massive hurdle because of a…

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Added by Nishtha Saxena on June 1, 2018 at 1:00am — 2 Comments

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