Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
42 courses for “Model Evaluation in Machine Learning Explained”
2 hours
11 lessons, 118 minutes in all, from YouTube.
2 hours
6 lessons, 149 minutes in all, from YouTube.
New courses, a couple of emails a month. One click unsubscribes.
13 hours
15 lessons, 803 minutes in all, from YouTube.
4 hours
Automotive Engineering Fundamentals
32 lessons, 267 minutes in all, from YouTube.
2 hours
Chassis, Suspension & Steering
31 lessons, 90 minutes in all, from YouTube.
13 hours
27 lessons, 794 minutes in all, from Mechanical Engineering E-Learning.
1 minutes
A 1-minute video from Ansys Learning.
2 minutes
A 2-minute video from The Learning Studio.
2 minutes
A 2-minute video from The Learning Studio.
3 minutes
A 3-minute video from The Learning Studio.
18 minutes
Continuous integration applied to machine learning, in under twenty minutes.
5 hours
Five hours on MLOps: getting a model out of a notebook and keeping it running.
45 minutes
Forty-five minutes of scikit-learn, from fitting a model to scoring it.
32 minutes
A university lecture on evaluating a model: the measures, and what each one hides.
13 minutes
Thirteen minutes on how a model is judged, and why accuracy alone is rarely the answer.
13 minutes
What machine learning is, explained without the mathematics, in thirteen minutes.
22 minutes
How categorical columns become numbers a model can use, and what goes wrong when they do not.
1 hour
Natural Language Processing (NLP)
An hour on the step every NLP pipeline starts with: turning text into something a model can read.
8 minutes
What independence means in probability, and what changes when events depend on each other.
10 hours
Generative AI for Data Science
Nine and a half hours explaining generative AI for somebody starting from nothing.
