Emmanuelle Rieuf's Blog – October 2016 Archive (10)

Classifications in R: Response Modeling/Credit Scoring/Credit Rating using Machine Learning Techniques

This article was written by Ariful Mondal. Artful is a senior manager, data science and big data analytics consultant at Tata Consultancy Services. 

1. Introduction

This is an attempt to showcase some worked out examples of Machine Learning (ML) use German Credit Data. Though we have selected credit…


Added by Emmanuelle Rieuf on October 22, 2016 at 9:30am — No Comments

How To Implement Machine Learning Algorithm Performance Metrics From Scratch With Python

This article was written by Jason Brownlee. Jason is the editor-in-chief at MachineLearningMastery.com.He has a Masters and PhD in Artificial Intelligence, has published books on Machine Learning and has written operational code that is running in production.

After you make predictions, you need to know if they are any good.

There are standard measures that we can use to summarize how good a set of predictions actually are.

Knowing how good a set of predictions is,…


Added by Emmanuelle Rieuf on October 18, 2016 at 10:30am — No Comments

An Introduction to Implementing Neural Networks using TensorFlow

This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh. Faizan is a Data Science enthusiast and a Deep learning rookie. A recent Comp. Sc. undergrad, he aims to utilize his skills to push the boundaries of AI research.


If you have been following Data Science / Machine Learning, you just can’t miss the buzz around Deep Learning and…


Added by Emmanuelle Rieuf on October 18, 2016 at 8:00am — No Comments

Heart rate during conference presentation - with beta-blockers

This chart comes from Reddit. Since many data scientists occasionnally have to make a presentation at a conference (or when presenting their doctoral thesis), I thought you would relate to this chart.  .

To read the original article, …


Added by Emmanuelle Rieuf on October 17, 2016 at 5:00pm — No Comments

Ten Ways Big Data Is Revolutionizing Marketing And Sales

This article was written by Louis Columbus. Louis is currently serving as Director, Global Cloud Product Management at Ingram Cloud.

  • Customer Analytics (48%), Operational Analytics (21%), Fraud and Compliance (12%) New Product & Service Innovation (10%) & Enterprise Data Warehouse Optimization (10%) are among the most popular big data use cases in sales and marketing.
  • Customer Value Analytics (CVA) based on Big Data is making it possible for leading…

Added by Emmanuelle Rieuf on October 17, 2016 at 11:00am — No Comments

Top 30 people in Big Data and Analytics

Innovation Enterprise has compiled a top 30 list for individuals in big data that have had a large impact on the development or popularity of the industry. …


Added by Emmanuelle Rieuf on October 12, 2016 at 8:30am — 1 Comment

Linear Regression in Astronomy: Cartoon

This image comes from Xkcd, a webcomic of romance, sarcasm, math, and language. Created by Randall Munroe, he is a CNU graduate with a degree in physics. Before starting xkcd, he worked on robots at NASA's Langley Research Center in Virginia.

Source: …


Added by Emmanuelle Rieuf on October 10, 2016 at 11:30am — 1 Comment

What are the greatest inefficiencies data scientists face today?

This article was written by Claudia Perlich. Claudia is a Chief Scientist Distillery and Adjunct Professor at NYU. She is also a Data Scientist at Quora. 

First of, let me state what I think is NOT the the problem: the fact that data scientists spend 80% of their time with data preparation.…


Added by Emmanuelle Rieuf on October 6, 2016 at 5:30am — No Comments

50 years of Data Science

David Donoho published a fascinating paper based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015. The paper got the attention on Hacker NewsData Science…


Added by Emmanuelle Rieuf on October 3, 2016 at 5:30pm — 1 Comment

Scraping with 300 req/sec in R? Yes you can!

Try the new non-blocking http API in curl 2.1:

R sitemap example, Jeroen Ooms, 2016

This code demonstrates the new multi-request features in curl 2.0. It creates an index of all files on a web server with a given prefix by recursively following hyperlinks that appear in HTML pages.

For each URL, we first perform a HTTP HEAD (via curlopt_nobody) to retrieve the…


Added by Emmanuelle Rieuf on October 1, 2016 at 8:30am — No Comments

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