Guest blog post by Christopher Dole and other contributors, originally posted here. Created by SoothSayerAnalytics. 

Deep Learning is one of the most revolutionary and disruptive technologies ever developed in Data Science.  Essentially, this is…

Starred articles are new additions posted between Thursday and Sunday, published in the Monday edition exclusively. The Monday edition has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content. The Thursday edition covers articles…

Guest blog by Sebastian Raschka, originally posted here.  

If we tackle a supervised learning problem, my advice is to start with the simplest hypothesis space first. I.e., try a linear model such as logistic regression. If this doesn't work "well" (i.e., it doesn't meet…

Guest blog post by Martijn Theuwissen, co-founder at DataCamp. Other R resources can be found here, and R Source code for various problems can be found here. A data science cheat sheet can be found…

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample -- the 12 most useful and popular articles to get started with Python and data science.  The Guide to Learning Python for Data Science has been moved…

Starred articles are new additions posted between Thursday and Sunday, published in the Monday edition exclusively. The Monday edition has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content. The Thursday edition covers articles published between Monday and Wednesday.

The …

I invite you to solve these challenges yourself before reading the solutions (for some of these problems) or hints to help you tackle these problems.

1. Interesting Recursive Formula
2. Identifying patterns in…

We just started in this article to provide answers to one of the largest collection of data science job interview questions ever published, and we will continue to add answers to most of these questions. Some answers link to solutions offered in my Wiley data science book: you can find this book here. The 91 job interview questions were originally published…

You can search Google for pictures similar to a given image, for plagiarism detection or to find people that look like you. 

Here's how I did a test:

• I used the Search by Image tool from Google
• I chose the option Upload an image
• I used a screenshot tool, to extract a picture of myself, free of compromising metadata (see figure 1 and 3), then clicked on the picture icon in the Google search box to…

According to Wikipedia, deep learning (deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex structures or otherwise, composed of multiple non-linear transformations.

Deep learning is sometimes defined as the intersection between machine learning and artificial intelligence. Many articles on deep…

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday.…

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday.…

Guest blog post by Xiu-Shen Wei, originally posted here. 

Deep Neural Networks, especially Convolutional Neural Networks (CNN), allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods…

Guest blog post by Kenneth Soo, originally posted here. 

Take a look at the picture below and try to identify what it is:

One should be able to tell that it is a giraffe, despite it being strangely fat. We recognize images and objects…