Dimensionality Reduction with R to Uncover Malicious Internet Domains
The need to stop malware Today’s biggest cybersecurity challenge is malware. Malware are malicious programs designed to compromise systems and exfiltrate sensitive info...
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Challenge of the Week – Solution from one of the Participants
We recently posted a challenge: creating data videos. You can check the challenge here, including training material and data to produce these videos, with open source so...
How Customer Analytics and Insights Enrich Customer Journey Design: Primary Research
Why do organizations seek to design effective multi-channel customer journeys? Customers demand it. Technology has enabled consumers to use multiple channels to interact ...
Analyze NYC housing market through Airbnb
Contributed by Amy(Yujing) Ma. She took NYC Data Science Academy 12 week full-time Data Science Bootcamp pr… between Jan 11th to Apr 1st, 2016. The post was ba...
Artificial Intelligence and Cognitive Computing
There’s been a lot of hype lately behind Artificial Intelligence (AI) and Cognitive Computing, both terms that generally refer to programs or computing systems that “...
The 9 Best Marketing And Sales Analytics You Should Know About
Sales and marketing analytics are essential to unlocking commercially relevant insights, increasing revenue and profitability, and improving brand perception. With the he...
Spectral Clustering – How Math is Redefining Decision Making
Guest blog post by Gaurav Agrawal, COO at Soothsayer Analytics. In today’s world of big data and the internet of things, it is common for a business to find itself si...
Overview and simple trial of Convolutional Neural Network with MXnet
Actually I’ve known about MXnet for weeks as one of the most popular library / packages in Kaggler, but just recently I heard bug fix has been almost done and some ...
Variance, Clustering, and Density Estimation Revisited
Introduction We propose here a simple, robust and scalable technique to perform supervised clustering on numerical data. It can also be used for density estimation, and e...
Regression, Logistic Regression and Maximum Entropy
One of the most important tasks in Machine Learning are the Classification tasks (a.k.a. supervised machine learning). Classification is used to make an accurate predicti...