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
ContinueAdded by Vincent Granville on December 31, 2016 at 7:08am — No Comments
Here is our selection of featured articles and resources published since Monday.
ContinueAdded by Vincent Granville on December 28, 2016 at 11:30am — No Comments
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
Added by Vincent Granville on December 24, 2016 at 1:30am — No Comments
Here is our selection of featured articles and resources posted since Monday:
ContinueAdded by Vincent Granville on December 22, 2016 at 4:00am — No Comments
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…
ContinueAdded by Vincent Granville on December 18, 2016 at 1:30pm — No Comments
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).…
ContinueAdded by Vincent Granville on December 17, 2016 at 11:00pm — 2 Comments
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) +…
ContinueAdded by Vincent Granville on December 17, 2016 at 1:00pm — 1 Comment
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
ContinueAdded by Vincent Granville on December 17, 2016 at 9:30am — No Comments
Here is our new selection of featured articles and resources, posted since Monday. Enjoy the reading!
Added by Vincent Granville on December 14, 2016 at 6:30pm — No Comments
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…
ContinueAdded by Vincent Granville on December 14, 2016 at 10:00am — 3 Comments
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…
ContinueAdded by Vincent Granville on December 13, 2016 at 8:30am — 1 Comment
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…
ContinueAdded by Vincent Granville on December 11, 2016 at 8:30pm — No Comments
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…
ContinueAdded by Vincent Granville on December 11, 2016 at 3:12pm — 1 Comment
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…
ContinueAdded by Vincent Granville on December 11, 2016 at 1:30pm — No Comments
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
Added by Vincent Granville on December 9, 2016 at 8:30pm — No Comments
This is our selection of featured articles and resources posted since Monday.
Thursday News
Added by Vincent Granville on December 8, 2016 at 11:00am — No Comments
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…
ContinueAdded by Vincent Granville on December 7, 2016 at 9:15am — No Comments
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…
ContinueAdded by Vincent Granville on December 6, 2016 at 7:30pm — No Comments
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…
ContinueAdded by Vincent Granville on December 5, 2016 at 6:30pm — 7 Comments
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
ContinueAdded by Vincent Granville on December 3, 2016 at 11:00am — No Comments
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