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