Data Science

Data science simplified: A breakdown of its key principles and processes

In 2006, UK mathematician and Tesco Clubcard architect Clive Humbly coined the phrase “Data is the new oil.” He said the following:<p>“Data is the new …

Machine Learning

Multilevel modeling: What it can and cannot do - Statistical Modeling, Causal Inference, and Social Science

We illustrate the strengths and limitations of multilevel mod- eling through an example of the prediction of home radon levels in U.S. counties. . . .<p>…

Solve Business Problems with Data Science

Here we propose a general framework to solve business problems with data science. This 5-step framework will not only shed light on the subject to …

Analytics

Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-4)

(This article was first published on <b>R-exercises</b>, and kindly contributed to R-bloggers)<p>Statistics are often taught in school by and for people who …

R Language

8 of the Best Skills to Have Listed on Your Digital Marketing Resume in 2017

If you’ve been even remotely connected to the realm of digital marketing recently, you’re no doubt aware of its constant, rapid changes. Digital …

Digital Marketing

This Machine Learning Technique Can Predict GDP Better Than Forecasters

In a 2016, two researchers from the University College of London released their findings that a machine learning technique could outperform …

Machine Learning

Experiments in Optdigits Classification

03 Jun 2016 • 35 min. read • Comments<p><i>Optdigits</i> is a well-known dataset consisting of a collection of hand-written digits available at the <i>UCI Machine</i> …

Deep Learning

37 Reasons why your Neural Network is not working – Slav

The network had been training for the last 12 hours. It all looked good: the gradients were flowing and the loss was decreasing. But then came the …

Deep Learning

How Bibblio Wants to Drain the Swamp of ‘Related Article’ Recommendations

<i>Related Stories widgets generate traffic and revenue but have earned a bad reputation. Can they be fixed through better algorithms and user</i> …

Journalism

The Definition and Relevance of Panel Data in Economic Research

Panel data, also known as longitudinal data or cross-sectional time series data in some special cases, is data that is derived from a (usually small) …

Big Data

R⁶ — General (Attys) Distributions

(This article was first published on <b>R – rud.is</b>, and kindly contributed to R-bloggers)<p>Matt @stiles is a spiffy data journalist at the @latimes and he …

R Language

Model comparison and merging for Azure Analysis Services

Relational-database schema comparison and merging is a well-established market. Leading products include SSDT Schema Compare and Redgate SQL Compare, …

Microsoft Azure

7 data visualizations techniques for location – Points of interest

Data visualization is a powerful tool. As a developer or designer, you want your data to tell your story. With Mapbox, you’re tapped into location …

Infographics

Google Data Studio: Using Google Sheets as a Data Source

Data Studio lets us visualize data from many sources. At Distilled, we’ve been using Google Sheets to do most of our reporting for years. It works …

Analytics

100+ Common Data Science Interview Questions

Preparing for an interview is not easy – naturally there is a large amount of uncertainty regarding the data science interview questions you will be …

Employment

Lessons learned benchmarking fast machine learning algorithms

<i>This post is authored by Miguel Fierro, Data Scientist, Mathew Salvaris, Data Scientist, Guolin Ke, Associate Researcher, and Tao Wu, Principal Data</i> …

Machine Learning

Random Forests in R

(This article was first published on <b>R Programming – DataScience+</b>, and kindly contributed to R-bloggers)<p>Ensemble Learning is a type of Supervised …

R Language

5 questions to ask about machine learning

There’s no walking the show floor at RSA Conference or Black Hat these days without vendors bombarding you with messages like “machine learning” and …

Machine Learning

Value Investment Stock Selections Using Forensic Analysis - July

Financial forensic methods can be useful in identifying anomalies in the stock market.<p>The stock selection screen leverages academic models of the …

Business

SAP Lumira 2.0 – Visualization Tips & Tricks: Adding Context with Conditional Formatting

This blog is part of a series to highlight useful features, tips and tricks to assist with good data visualization practice in Lumira 2.0 …

SAP SE

Amazon Web Services, Inc.

Deep Learning (DL) is a subset of Machine Learning (ML) that extends the concept of Artificial Neural Networks (ANN) to uncover hidden patterns in …

Machine Learning

Partner SA Roundup – July 2017 | Amazon Web Services

This month, Juan Villa, Pratap Ramamurthy, and Roy Rodan from the Emerging Partner SA team highlight a few of the partners they work with. They’ll be …

Cloud Computing

Analyzing Github pull requests with Neural Embeddings, in R

(This article was first published on <b>Revolutions</b>, and kindly contributed to R-bloggers)<p>At the useR!2017 conference earlier this month, my colleague …

Hacking Highcharter: observations per group in boxplots

(This article was first published on <b>R – What You're Doing Is Rather Desperate</b>, and kindly contributed to R-bloggers)<p>Highcharts has long been a …

R Language

Are computers needed to teach Data Science?

(This article was first published on <b>R Project – Citizen-Statistician</b>, and kindly contributed to R-bloggers)<p>One of the many nice things about summer …

R Language

Stippling and TSP art in R: emulating StippleGen

Stippling is the creation of a pattern simulating varying degrees of solidity or shading by using small dots (Wikipedia).StippleGen is a piece of …

R Language

Here's everything you need to land the finance job of your dreams

Just to let you know, if you buy something featured here, Mashable might earn an affiliate commission.<p>It’s hard to land a good job on Wall Street. You have to dress smart, act super confident, and watch the movie <i>Wall Street</i> over and over again. You also have to know so much about finance that it’ll …

Keanu Reeves

Replicating Smart Beta With Dumb Beta: Fundamental Indexing

The proliferation of hundreds of smart beta strategies raises questions about their relationship to basic dumb beta factors that have been around for …

Investing

Data Visualization with googleVis exercises part 8

(This article was first published on <b>R-exercises</b>, and kindly contributed to R-bloggers)<p><b>Annotation & Sankey Charts</b><p>In the eighth part of our series we …

Data Visualization

Beneath the canvas

(This article was first published on <b>Data Imaginist - R posts</b>, and kindly contributed to R-bloggers)<p>Recently a blog<br>post made its<br>rounds on the internet …

R Language