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

Resources

• A Little College Sports Analysis - Part 2
• Hadoop for Beginners …

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 

• Statistical Tests - When to use Which…

I wrote about this long ago (see here in 2014), and so did many other practitioners. This new post shows more maturity I think, a more coherent view about the various data scientist roles in the Industry (now that things are getting more clear for most hiring managers), and how these scientists interact between themselves and with other teams. It is also a short…

This question was recently posted on Quora, and generated a lot of answers. Here is mine:

What differentiates a real doctor from a fake doctor? What about one with no medical degree who cures himself and his family and friends, with better outcomes than official healthcare, for free, and does not call himself a doctor? …

Here is our selection of featured articles, technical resources, and forum questions posted since Monday.

Technical Resources

• Statistical Tests - When to use Which ? 
• Practical Apache Spark in 10 minutes -…

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 

• Solving Image…

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 resources and articles posted since Monday:

Resources (Technical):

• General Myths to avoid in Data Science and Machine Learning 
• Neural Networks from a Bayesian…

It is more than just a problem, rather a project, possibly even a long-term one for expert data scientists and/or mathematicians, if you want to make a significant contribution towards a great solution. Yet it is also a nice project for beginners, mostly involving exploratory data analysis on the largest data set ever created, using various machine learning techniques, to hone your data science expertise.

The data set contains an infinite number of observations (all the real numbers),…

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

• Comparison of the Most Useful…

Join the largest community of machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical and statistical professionals: Sign up here. If instead, you are only interested in receiving our newsletter, you can subscribe here.…

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

Resources (Technical):

• Top 15 Scala Libraries for Data Science in 2018 
• A Comparative Analysis of Top 6 BI and Data…

Updated on August 12. See new section entitled "Future research on the topic."

Here I propose an alternative to traditional cryptography. Traditional cryptography relies on hash functions (Bitcoin) or large prime numbers (RSA.) The foundations of this new technology are based on my book on numeration systems, available for free to DSC members.…

What do experienced data scientists know that beginner data scientists don't know? Here is a quick overview.

1. Automating tasks. Writing code that writes code.
2. Outsourcing tasks to junior members or to consultants.
3. Managing people, hiring the right people, managing managers who report to you.
4. Training colleagues who might not be tech-savvy. Be an adviser for senior managers.
5. Identifying the right tools and assessing the benefits and minuses of…

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

• Four ways to…

Here is our selection of featured articles, forum questions, and resources posted since Monday.

Resources

• Practical Apache Spark in 10 minutes: Streaming 
• Scalable IoT ML Platform with Apache Kafka…