Text Clustering : Get quick insights from Unstructured Data
In this two-part series, we will explore text clustering and how to get insights from unstructured data. It will be quite powerful and industrial strength. The first part...
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Three Things About Data Science You Won't Find In the Books
So here are my three principle experiences you won’t effectively discover in books. 1. Evaluation Is Key The main goal in data analysis/machine learning/data scienc...
Some Image and Video Processing: Motion Estimation with Block-Matching in Videos, Noisy and Motion-blurred Image Restoration with Inverse Filter in Python and OpenCV
The following problems appeared in the exercises in the Coursera course Image Processing (by Northwestern University). The following descriptions of the problems are ta...
Some NLP: Probabilistic Context Free Grammar (PCFG) and CKY Parsing in Python
This problem appeared as an assignment in the coursera course Natural Language Processing (by Stanford) in 2012. The following description of the problem is taken direct...
Are you brave enough to change your Data Habits?
Do you often go with gut feeling rather than data and insights? Is your data stored in separate databases, in different formats with different values? We all have bad ha...
DSC Webinar Series: Case Study: Scaling Data Preparation for Faster Insights
Companies are always looking for ways to improve the way they work with data. The ability to build out a workflow, automate the data blending and preparation, and then an...
Bridging Data Science and Business Intuition
Target corporation’s massively profitable data science project threw them into the news spotlight a few years back. Their story makes for a valuable case study in brid...
Machine Learning Summarized in One Picture
Here is a nice summary of traditional machine learning methods, from Mathworks. I also decided to add the following picture below, as it illustrates a method that was ve...
Taxonomy of 3D DataViz
Been trying to pull together a taxonomy of 3D data viz. Biggest difference is I think between allocentric (data moves) and egocentric (you move) viewpoints. The differenc...
Twelve types of Artificial Intelligence (AI) problems
Background – How many cats does it take to identify a Cat? In this article, I cover the 12 types of AI problems i.e. I address the question : in which scenarios should...