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.

Featured Resources and Technical Contributions

• H2O , Diabetes and Data Science …

Here is our selection of featured articles and resources published since Monday.

• Getting Started with Regression in R 
• R moves up to 5th place in IEEE language rankings…

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.

Announcements

• Optimal Data Analytics Architecture - DSC Webinar, Jan 24…

Here is our selection of featured articles and resources posted since Monday:

• A Beautiful Probability Theorem 
• Deciphering the Neural Language Model 
• Data Scientist Core Skills -…

As we approach 2017, we have compiled a list of the most popular data science, machine learning, deep learning and related articles published on DSC in 2016. Many great articles have not been included yet as they are very recent, but I have no doubt that they will make it to the top when we will publish our 2017 selection. Also, click here to check out the best…

Fantastic resource created by Andrea Motosi. I've only included the 5 categories that are the most relevant to our audience, though it has 31 categories total, including a few on distributed systems and Hadoop. Click here to view the 31 categories. You might also want to check our our our internal resources (the first section below).…

We all know that, given two events A and B, the probability of the union A U B is given by the formula P(A U B) = P(A) + P(B) - P( AB) where AB represents the intersection of A and B. Most of us even know that

P(A U B U C) = P(A) + P(B) + P(C) - { P(AB) + P(AC) + P(BC) } + P(ABC)

In particular, if the events are independent, it becomes:

1 - P(A U B U C) = 1 - { P(A) + P(B) +…

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.

Announcements

• Gartner Data & Analytics Summit…

Here is our new selection of featured articles and resources, posted since Monday. Enjoy the reading! 

• Top programming languages that will be most popular in 2017 
• My Best Data Science, Machine Learning and Related…

It's time again to share your predictions for 2017. I did my homework and came with these 10 predictions. I invite you to post your predictions in the comment section, or write a blog about it. Ramon Chen's predictions are posted here, while you can read Tableau's prediction…

Here I list my most interesting contributions published on Data Science Central. My plan is to categorize and aggregate this content to produce a few self-published books. The material below will always be available for free (from this webpage), but the books won't, or if they are, they will be free for members only. So you might want to bookmark this page.   

I…

The two situations discussed here also apply to marketing (not just advertising), and not just using social networks, but other channels such as Google. The insights provided here are based on careful data analysis, and applicable to websites and blogs with a decent amount of content, trying to build or maintain momentum. The problem discussed here is sometimes referred to as marketing mix optimization, with attribution modeling.

1. To Grow Subscriber or Member…

Guest blog by David Stephenson, Ph.D. David is a data science and big data analytics speaker and thought leader. For over 15 years, David has been delivering analytic and risk management tools that have guided $10+ billion in business decisions. Prior to returning to consulting, David led global analytics for eBay Classifieds Group, reaching 30 countries operating under a dozen consumer facing brands and spread over…

Guest blog by Ajit Jaokar. Ajit”s work spans research, entrepreneurship and academia relating to IoT, predictive analytics and Mobility. His current research focus is on applying data science algorithms to IoT applications. This includes Time series, sensor fusion and deep learning (mostly in R/Apache Spark). This research underpins his teaching at Oxford University (Data Science for IoT) and ‘City…

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

• Use data to drive decisions—and your career. Advance your knowledge through…

This is our selection of featured articles and resources posted since Monday.

Thursday News

• Beginners Guide to Regression Analysis and Plot Interpretations +
• Tutorial - foundations of machine learning…

Guest blog by Francesco Gadaleta. Francesco is Data Scientist at Janssen Pharmaceutical Companies of Johnson & Johnson and a Science writer. He is committed to “A World Without Disease” paradigm shift in healthcare, leveraging Artificial Intelligence and Data Science to predict risk and intercepting diseases. He is focused on putting machine learning at the service of human beings.

Do you know why you can’t hear the…

Siummary: In 2017, AI and analytics M&A activity will accelerate, data lakes will finally become useful, and data monetization strategies will mature. These are some of the predictions Ramon Chen, CMO of data management innovator, Reltio, has for the coming year. 

1.  AI and…

In this article, we revisit the most fundamental statistics theorem, talking in layman terms. We investigate a special but interesting and useful case, which is not discussed in textbooks, data camps, or data science classes. This article is part of a series about off-the-beaten-path data science and mathematics, offering a fresh, original and simple perspective on a number of topics. Previous articles in this series can be found…

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.

Featured Resources and Technical Contributions

• Stacking models for improved…