Featured Blog Posts – March 2018 Archive (76)

Seduction of Success

The following simulation is based on a presentation that I attended in the 1990s.  I was an investment junkie back then.  I sat down, and I listening to people speak about their ideas on making money - on television and sometimes live.  The presenter in this case was trying to explain that investment success is sometimes a matter of chance.  He had people in the audience stand up.  He asked them to guess heads or tails.  Those that were correct continued to the next round - to guess again -…


Added by Don Philip Faithful on March 31, 2018 at 11:00am — 2 Comments

Stochastic Processes and New Tests of Randomness - Application to Cool Number Theory Problem

This article is intended for practitioners who might not necessarily be statisticians or statistically-savvy. The mathematical level is kept as simple as possible, yet I present an original, simple approach to test for randomness, with an interesting application to illustrate the methodology. This material is not something usually discussed in textbooks or classrooms (even for statistical students), offering a fresh perspective, and out-of-the-box tools that are useful in many contexts, as…


Added by Vincent Granville on March 31, 2018 at 10:00am — 6 Comments

Portray Business Plan from Data with Science – “Restaurant”

Making money is very easy from Restaurant but consistency on success run is the difficult part due to various factors like competitors, customer needs in terms of variety , holiday specials and luxury expectations in dining. These could be maintained easily if we look at our past business & predict the future by injecting various parameters in it.

Here, I have taken data from online to prepare a prediction plan for group restaurants , those are using the site for…


Added by Natrayan Velu on March 31, 2018 at 7:00am — No Comments

Boost your data science skills. Learn linear algebra.

I’d like to introduce a series of blog posts and their corresponding Python Notebooks gathering notes on the Deep Learning Book from Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016). The aim of these notebooks is to help beginners/advanced beginners to grasp linear algebra concepts underlying deep learning and machine learning. Acquiring these skills can boost your ability to understand and apply various data science algorithms. In…


Added by hadrienj on March 28, 2018 at 1:30pm — 1 Comment

Soccer and Machine Learning: 2 hot topics for 2018

How good is a certain soccer player? Let’s find out applying Machine Learning to Fifa 18!

I’m sure you’ve probably heard about the 2018 FIFA Football World Cup in Russia everywhere during the last few months. And, if you are a techy too, I guess you also have realized that Machine Learning and Artificial Intelligence are buzzwords too. So, what better way to get ready for the World Cup than by practicing in a project that combines these two hot…


Added by Regiane Folter on March 28, 2018 at 4:30am — No Comments

Data Fallacies to Avoid | An Illustrated Collection of Mistakes People Often Make When Analyzing Data

Recently my team embarked on a mission to make data more accessible and useful to everyone, creating free resources to utilise whilst studying, analyzing and interpreting data.

The first resource we created was 'Data Fallacies to Avoid', an illustrated…


Added by Tom Bransby on March 28, 2018 at 2:30am — No Comments

13 Great Articles About K-Nearest-Neighbors And Related Algorithms

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting,…


Added by Vincent Granville on March 27, 2018 at 11:30am — No Comments

6 Proven Steps to Land a Job in Data Science

After spending numerous evenings and weekends learning and coding for more than a year, you finally did it! You’ve now completed your data science program, earned your shiny certificate...now what? Chances are you were looking to get a job in data when you signed up for the course. So let’s face this, it is time to get a job! The only thing that’s standing…


Added by George Liu on March 27, 2018 at 11:00am — 1 Comment

Extending churn analysis to revenue forecasting using R

In this article we will review application of clustering to customer order data in three parts.  First, we will define the approach to developing the cluster model including derived predictors and dummy variables; second we will extend beyond a typical “churn” model by using the model in a cumulative fashion to predict customer re-ordering in the future defined by a set of time cutoffs; last we will use the cluster model to forecast actual revenue by estimating the ordering parameter…


Added by Blaine Bateman on March 27, 2018 at 10:00am — 8 Comments

The Browser of a Data Scientist

Yet another funny cartoon about data scientists. More cartoons about data science, can be found here.

This one was originally posted…


Added by Capri Granville on March 27, 2018 at 4:30am — No Comments

Event Analytics: How to Define User Sessions with SQL

Many of “out-of-the-box” analytics solutions come with automatically defined user sessions. It’s good to start with, but as your company grows, you’ll want to have your own session definitions based on your event data. Analyzing user sessions with SQL gives you flexibility and full control over how metrics are defined for your unique business.  

What is a session and why should I care?

The session is usually defined as a group…


Added by Luba Belokon on March 27, 2018 at 1:00am — No Comments

GDPR Drives Real Time Analytics

New reforms under the General Data Protection Regulation (GDPR) started as an attempt to standardize data protection regulations in 2012. The European Union intends to make Europe “fit for the digital age.” It took four years to finalize the agreements and…


Added by Ronald van Loon on March 26, 2018 at 10:30pm — 1 Comment

GDPR and the Paradox of Interpretability

Summary:  GDPR carries many new data and privacy requirements including a “right to explanation”.  On the surface this appears to be similar to US rules for regulated industries.  We examine why this is actually a penalty and not a benefit for the individual and offer some insight into the actual wording of the GDPR regulation which also offers some relief.



Added by William Vorhies on March 26, 2018 at 2:10pm — 4 Comments

Google's Knowledge Graph Identifies your Medical Symptoms

This article was written by Lance Whitney.

An update to Google's mobile app and website lets you search for symptoms and receive a list of possible conditions and other details. You can now ask Google to help diagnose what ails you.…


Added by Amelia Matteson on March 26, 2018 at 11:00am — No Comments

Password Sharing Is a Federal Crime, Appeals Court Rules

This article was written by Jason Koebler.

Sharing your Netflix or HBO password technically violates one of America's worst tech laws, the Ninth Circuit has ruled.

One of the nation's most powerful appeals courts ruled Wednesday that sharing passwords can be a…


Added by Amelia Matteson on March 26, 2018 at 11:00am — 1 Comment

Animated Maps Illustrate the Hell of Bay Area Commuting

This article was written by Greg Miller.



Added by Amelia Matteson on March 26, 2018 at 10:30am — No Comments

GDPR and AI – strategies and options in a nutshell

I had the pleasure to meet @KirkDBorne last week and participate in a panel moderated by Kirk - Decoding #GDPR, #IoT, and #UX in the #BigData world: discussing #AI #MachineLearning #DataSecurity at the @BigDataWorld_  /…


Added by ajit jaokar on March 26, 2018 at 4:00am — 2 Comments

First Doctorship in Data Science

You may even call it post-doctorship, as the level is beyond the traditional PhD degree. It is not a degree, not competing with university programs, but instead, akin to a fellowship or apprenticeship to learn doing state-of-the-art applied research, discover ground-breaking results or applications, and translate your discoveries into seminal material suitable for a broad audience. It is intended for professionals with substantial experience, perhaps to people who already have a PhD in a…


Added by Vincent Granville on March 24, 2018 at 10:30am — 34 Comments

Weekly Digest, March 26

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.


  • Have you secured your spot at …

Added by Vincent Granville on March 24, 2018 at 8:00am — No Comments

Weighted Linear Regression in R

If you are like me, back in engineering school you learned linear regression as a way to “fit a line to data” and probably called in “least squares”.  You probably extended it to multiple variables affecting a single dependent variable.  In a statistics class you had to calculate a bunch of stuff and estimate confidence intervals for those lines.  And that was probably about it for a long time, unless you were focusing on math or statistics.  You may have…


Added by Blaine Bateman on March 23, 2018 at 6:30am — 2 Comments

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