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Weekly Selection – August 2, 2019

The 5 Feature Selection Algorithms every Data Scientist should know

By Rahul Agarwal – 7 min read

How many times it has happened when you create a lot of features and then you need to come up with ways to reduce the number of features.


Illustrated: 10 CNN Architectures

By Raimi Karim – 12 min read A compiled visualisation of the common convolutional neural networks


Breaking BERT Down

By Shreya Ghelani – 17 min read

A complete breakdown of the latest milestone in NLP


Use Cython to get more than 30X speedup on your Python code

By George Seif – 4 min read

Python is a community favourite programming language! It’s by far one of the easiest to use as code is written in an intuitive, human-readable way.


Lessons on How to Lie with Statistics

By Will Koehrsen – 18 min read

Timeless Data Literacy Advice


Cluster Analysis: Create, Visualize and Interpret Customer Segments

By Maarten Grootendorst – 9 min read

Exploring methods for cluster analysis, visualizing clusters through dimensionality reduction and interpreting clusters through exploring impactful features.


Understanding Decision Trees for Classification (Python)

By Michael Galarnyk – 10 min read

Decision trees are a popular supervised learning method for a variety of reasons.


The Limitations of Machine Learning

By Matthew Stewart, PhD Researcher – 12 min read

Machine learning is now seen as a silver bullet for solving all problems, but sometimes it is not the answer.


Image Panorama Stitching with OpenCV

By Thalles Silva – 8 min read

Image stitching is one of the most successful applications in Computer Vision. Nowadays, it is hard to find a cell phone or an image processing API that do not contain this functionality.


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