While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

Why is machine learning 'hard'?

S. Zayd Enam

"The difficulty is that machine learning is a fundamentally hard debugging problem. Debugging for machine learning happens in two cases: 1) your algorithm doesn't work or 2) your algorithm doesn't work well enough."

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Why using SQL before using Pandas?

Oleg Żero

An explanation with examples illustrating the motivation to use SQL for fetching data from a database instead of directly loading the data into Pandas.

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A Framework for Making Decisions with Data

Caitlin Hudon

A five-step method for transitioning from problem to data-backed decision making.

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