Selection of Great Data Science Articles still Worth Reading
These articles are between 3 and 5 year old, but are still valuable today. The methodology used in these articles is modern, and still state-of-the-art today. Some discus...
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Markov Chains
I’ve recently spent a bit of time getting to grips with Markov Chains. I’ve created a jupyter notebook which attempts to give an “intuition” into ...
Machine Learning with Signal Processing Techniques
Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals. Anyone with a background in Physics or ...
GDPR: an Opportunity to drive Customer Experience & Create Digital Trust
With consumer data privacy becoming a top priority in the current age, regulating authorities have jumped into the conundrum to ensure that users get the privacy they nee...
Selected Recent Articles from Top DSC Contributors – Part 7
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written...
Strata – What a Difference a Year Makes
Summary: Some observations about new major trends and directions in data science drawn from the Strata Data conference in San Jose last week. I’m just back from my an...
Selected Recent Articles from Top DSC Contributors – Part 5
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written...
Off the Beaten path – Using Deep Forests to Outperform CNNs and RNNs
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 dat...
Why is Eye-Tracking really important for Market Research?
“95% of the purchase decisions happen in the subconscious” Yes, you read it right! 95% of the purchase decisions happen in our sub-conscious — according to res...
Python Multi-Threading vs Multi-Processing
There is a library called threading in Python and it uses threads (rather than just processes) to implement parallelism. This may be surprising news if you know about t...