C.R.E.A.M.
Money Machines: An Interview with an Anonymous Algorithmic Trader
An insider explains how algorithms are rewiring finance. - Logic

BIT BY BIT
A Gentle Introduction to Learning Curves for Diagnosing Machine Learning Model Performance
Discover learning curves and how they can be used to diagnose the learning and generalization behavior of machine learning models. - Machine Learning Mastery

JOIN FORCES
A Culture of Partnership
“An analytics team that operates in a silo, despite being filled with super talented analysts, engineers, and data scientists will often end up spinning its wheels and failing to impact the bottom-line of the organization.” - Locally Optimistic

GOOD INTENTIONS
A Framework for Understanding Unintended Consequences of Machine Learning
The concept of "biased data" is often too broad to be useful. This framework includes 5 ways of categorizing bias: historical, representation, measurement, evaluation, and aggregation. - Cornell University

TRUE IDENTITY
Active Learner
Supervised machine learning, while powerful, needs labeled data to be effective. This visualization shows how active learning data labeling strategies can improve your models. - Fast Forward Labs