Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
209 courses for “Generative AI in a Nutshell - how to survive and thrive in the age of AI”
14 hours
100 lessons, 821 minutes in all, from Love2HVAC with Ty Branaman.
5 hours
20 lessons, 280 minutes in all, from Refrigeration and HVAC technical fault.
New courses, a couple of emails a month. One click unsubscribes.
18 minutes
A 18-minute video from IIT KANPUR-NPTEL.
2 minutes
A 2-minute video from Amatrol.
47 minutes
A 47-minute video from Advanced Thermal Solutions, Inc..
33 hours
66 lessons, 2000 minutes in all.
3 minutes
A 3-minute video from Edoreal Engineering.
16 hours
83 lessons, 950 minutes in all.
2 minutes
A 2-minute video from Math and Engineering with Dr. A.
2 hours
FRONTLINE's documentary on artificial intelligence, its economics and who carries the cost.
5 hours
Five hours on MLOps: getting a model out of a notebook and keeping it running.
4 hours
Four and a half hours of Python from nothing, the course most people start with.
55 minutes
Confusion matrices, precision, recall and ROC curves, worked through in scikit-learn.
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.
55 minutes
Building a working e-commerce data pipeline, start to finish, with Snowflake and dbt.
3 hours
Nearly three hours on time series: the components, the models, and the forecasts built from them.
2 hours
An hour and a half of forecasting in Python, for somebody who has not done it before.
2 hours
An hour and a half on association rules: finding what goes with what in a transaction log.
2 hours
Two and a half hours on decision trees — how one is built, and how it is read.
