The mythology that has been associated with Machine Learning can lead to poor judgment about when and how to apply it
Tag Archives: Machine Learning
Building a model? Here’s the first question you should ask
Whether your model is meant to be explanatory or predictive has profound implications for its design
Are you mixing up odds with probability?
Odds and probability are different, and too many people make decisions without knowing that.
Bluff the bots — a glossary of key terms in Machine Learning
The fifth and final part of the series on Machine Learning for beginners.
Trash or treasure — how to tell if a classification algorithm is any good
In this installment of the series, we review some common measures and considerations when assessing the effectiveness and value of a classification algorithm.
A lay-person’s guide to the algorithm jungle
This is the third in a series of articles intended to make Machine Learning more approachable to those without technical training.
How does Machine Learning work?
This is the second in a series of articles intended to make Machine Learning more approachable to those without technical training.
What is Machine Learning?
This is the first of a series of articles intended to make Machine Learning more approachable to those who do not have a technical training.