Summary: The Magic Quadrant for Advanced Analytic and ML Platforms is just out and there are some big changes in the leaderboard.  Not only are there some surprising upgrades but some equally notable long falls. 

The Gartner Magic Quadrant for Advanced Analytic and ML Platforms came out on February 22^nd and there are some big changes in the leaderboard.  Not only are there some surprising upgrades (Alteryx, KNIME,…

With data sets and instructions and help provided. Great for people completing a master degree in data science or related fields, or just for fun.

Project #8: Detecting Fake Reviews

18 Sample Projects

• Clustering 2,000+ data science…

Here is our selection of featured articles, resources, technical contributions, and forum questions posted over the last few days:

Featured Resources and Technical Contributions

• List of Free Must-Read Machine Learning Books…

Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the 'analytics translator'. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics…

See niche chart using Tableau, produced by the Meteoretical Society. Below is a screen shot. The original chart is interactive (you can zoom in, etc.)…

Here is our selection of featured articles and resources posted in the last few days:

• Book: The Master Algorithm 
• Generalized Coefficient of Correlation for Non-Linear Relationships +…

What is the best correlation coefficient R(X, Y) to measure non-linear dependencies between two variables X and Y? Let's say that you want to assess weather there is a linear or quadratic relationship between X and Y.  How can you do it?…

One of the first lessons you’ll receive in machine learning is that there are two broad categories: supervised and unsupervised learning. Supervised learning is usually explained as the one to which you provide the correct answers, training data, and the machine learns the patterns to apply to new data. Unsupervised learning is (apparently) where the machine figures out the correct answer on its own.

Supposedly, unsupervised learning can discover something new that has not been found…

Summary:  How about a deep learning technique based on decision trees that outperforms CNNs and RNNs, runs on your ordinary desktop, and trains with relatively small datasets.  This could be a major disruptor for AI.

Suppose I told you that there is an algorithm that regularly…

Here is our selection of resources and articles recently featured on DSC: 

• Number Representation Systems Explained in One Picture +
• Event Analytics: How to Define User Sessions with SQL…

This article covers far more than the title suggests. It is written in simple English and accessible to quantitative professionals from a variety of backgrounds. Deep mathematical and data science research (including a result about the randomness of Pi, which is just a particular case) are presented here, without using arcane terminology or complicated equations.  

The topic discussed here, under a unified framework, is at the intersection of mathematics, probability theory, chaotic…

Here is our selection of resources and articles featured in the last few days:

• Are the Digits of Pi Truly Random? 
• Data Science Graphs (without the code!) …

The narrow-sensed OLAP

OLAP is part and parcel of a BI application. As the name suggests, the word is an acronym for online analytical processing. Users, frontline employees, to be precise, are responsible for performing various types of data processing online.  

But, the concept of OLAP tends to be used in a very narrow sense. It has almost become an equivalence of multidimensional analysis. Based on a prebuilt data cubic, the analysis performs summarization…