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.

• Webinar: Job Trends in Data Science -- Learn about the hiring trends, top skill sets, industry predictions, and career tips in data science at this…

This question was recently posted on Quora: What is a full stack data scientist? Below is my answer.

Most answers focus on the technical skills a full stack data scientist should have. This is only the tip of the iceberg. Put it differently, a full stack data scientist is also able to start a company, any company, from the ground-up, and leverage analytics in all aspects that makes a business succeed. It requires the ability to run a business, hire people, automate, find the…

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

Technical Resources

• Sequence Modeling with Neural Networks - Part I 
• R, Python, Julia - and Polyglot …

Guest blog post by Zied HY. Zied is Senior Data Scientist at Capgemini Consulting. He is specialized in building predictive models utilizing both traditional statistical methods (Generalized Linear Models, Mixed Effects Models, Ridge, Lasso, etc.) and modern machine learning techniques (XGBoost, Random Forests, Kernel Methods, neural networks,…

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

• Maximize your job prospects. Earn a Penn State Master’s in Data Analytics part-time and online. Learn to design and apply data management techniques…

I read an article this morning, about a top Cornell food researcher having 13 studies retracted, see here. It prompted me to write this blog. It is about data science charlatans and unethical researchers in the Academia, destroying the value of p-values again, using a well known trick called p-hacking, to get published…

Here is our selection of featured resources and articles posted this week:

Resources

• Introduction to Deep Learning 
• An overview of feature selection strategies …

Guest blog post by Zied HY. Zied is Senior Data Scientist at Capgemini Consulting. He is specialized in building predictive models utilizing both traditional statistical methods (Generalized Linear Models, Mixed Effects Models, Ridge, Lasso, etc.) and modern machine learning techniques (XGBoost, Random Forests, Kernel Methods, neural networks, etc.).…

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

• Enterprise AI: Take the Plunge. Data science and advanced analytics front-runner Dataiku announces the release of…

This our selection of featured articles and resources posted since Monday:

Resources

• How to use IoT datasets in AI applications (full stack) 
• Career Transition Towards Data Science -…

You won't learn this in textbooks, college classes, or data camps. Some of the material in this article is very advanced yet presented in simple English, with an Excel implementation for various statistical tests, and no arcane theory, jargon, or obscure theorems. It has a number of applications, in finance in particular. This article covers several topics under a unified approach, so it was not easy to find a title. In particular, we discuss:

• When the central limit theorem…

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

• Apply design methods, computer science, statistical analysis, and ethics to turn data into insight at top-ranked Parsons School of Design in New York City.…

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

Announcements

• Columnar Databases: Best Choice for Real-Time Analytics - DSC Webinar, Sep 19
• 4 Ways to Tackle Common Data…

In a recent interview, I have been asked how can small businesses get started and benefit from being more analytical. Below is my answer, and I believe it applies to any business.

Source for picture: click…

Guest blog by Tony Roberts.

Microsoft Excel is widely used in almost every industry. Its intuitive interface and ease of use for organising data, performing calculations, and analysis of data sets has led to it being commonly used in countless different fields globally.

Whether you’re a fan of Excel or not, at some point you will have to deal with it! For many applications you won’t…

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

• Cool Cloudera Fast Forward Labs opportunity based in the UK. We are looking for a…