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. To subscribe, follow this link.  

Upcoming DSC Webinars and…

Back in 2017, we posted a problem related to stochastic processes and controlled random walks, offering a $2,000 award for a sound solution, see here for full details. The problem, which had a FinTech flavor, was only solved recently (December 2018) by Victor Zurkowski.

About the problem:

Let's start…

Happy Holidays! Here is our list of featured articles and resources posted since Monday.

Resources

• Text Summarization and Sentiment Analysis: Novel Approach 
• How to Visualize a Decision Tree…

The new advice today for data scientists is not to become a generalist. You can read recent articles on this topic, for instance here.  In this blog, I explain why I believe it should be the opposite. I wrote about this…

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. To subscribe, follow this link.  

Announcement…

Here is our list of featured articles and technical contributions posted since Monday.

Announcements

• Leverage All Your Data With Cloud Analytics - On-demand Webinar 
• New Jobs for Data Scientists (Intuit, Bay Area)

New Resources…

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. To subscribe, follow this link.  

Announcement…

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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,…

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

Announcement

• Analyze Data Faster with an Open Source Columnar Database - DSC Webinar, Dec 20

New Resources

• A So-So Second Date with Julia …

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. To subscribe, follow this…

Updated on Dec 12, 2018. An error was fixed when g(x) is not equal to x, and a new section "Generalization" was added. A link to a large collections of intriguing integrals was added at the bottom, in the "Related Problems" section.

Below are a few integrals that you won't find in textbooks. Solving them is a good exercise for college students with some advanced calculus training. We provide the solution, as well as a general framework to compute many similar integrals. Maybe…

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,…

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

Upcoming DSC Webinar

• AI and ML: Connected Intelligence Solutions - Dec 11

New Resources

• Interpreting Exploratory Data Analysis (EDA) …

Do the usual (attending data camps if you don't have any experience), and you will go nowhere due to competition doing the exact same thing as you. Do the unusual, you will go nowhere either in terms of landing a job, as nobody understands what you do. However, the big difference is that in the latter case, you can compete with employers who won't hire you, and you can eat their lunch. That is what Uber, AirBnB, PayPal, Google, Zillow (predicting home values) and many more did, all of them…

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. To subscribe, follow this…

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, dataviz, AI and many more. To keep receiving these articles, …