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Weekly Selection – Mar 22, 2019

Data scientist: The sexiest job of the 22nd century

By Cassie Kozyrkov – 6 min read

Data science has been called "the sexiest job of the 21st century" – a sentiment I’d believe if I saw more business leaders hiring data scientists into environments where we can be effective. Instead, many of us feel misunderstood and invisible.


A Complete Exploratory Data Analysis and Visualization for Text Data

By Susan Li – 8 min read

How to combine visualization and NLP in order to generate insights in an intuitive way.


Predicting Stock Prices with Echo State Networks

By Matthew Stewart, PhD Researcher – 14 min read

People have tried and failed to reliably predict the seemingly chaotic nature of the stock market for decades. Do neural networks hold the key?


Robotic Control with Graph Networks

By Or Rivlin – 9 min read

Exploiting relational inductive bias to improve generalization and control


Six Recommendations for Aspiring Data Scientists

By Ben Weber – 6 min read

Data science is a field with a huge demand, in part because it seems to require experience as a data scientist to be hired as a data scientist.


Checklist for debugging neural networks

By Cecelia Shao – 10 min read

Tangible steps you can take to identify and fix issues with training, generalization, and optimization for machine learning models


‘Making big bucks’ with a data-driven sports betting strategy

By Tuan Doan Nguyen – 10 min read

A few months ago, I developed and wrote about an ML-free algorithm to predict the Premier League results using a simple Poisson process.


Deep Learning Neurons versus Biological Neurons

By Matthew Roos – 12 min read

In recent years, "deep learning" AI models have often been touted as "working like the brain," in that they are composed of artificial neurons mimicking those of biological brains.


Understanding the Mathematics behind Gradient Descent

By Parul Pandey – 10 min read

A simple mathematical intuition behind one of the commonly used optimisation algorithms in Machine Learning.


Light on Math ML: Attention in Deep Networks with Keras

By Thushan Ganegedara – 6 min read

Turning all the intricacies of Attention to one elegant line in Keras


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