Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
150 courses for “Introduction to Cloud Computing Training | Learning Tree”
44 minutes
A 44-minute video from Jim Pytel.
6 minutes
A 6-minute video from NPTEL-NOC IITM.
New courses, a couple of emails a month. One click unsubscribes.
3 minutes
A 3-minute video from The Learning Studio.
31 minutes
A 31-minute video from Technocraft Academy.
4 hours
10 lessons, 237 minutes in all.
12 minutes
A 12-minute video from ADANE TEACHð.
2 minutes
A 2-minute video from Math and Engineering with Dr. A.
18 minutes
Continuous integration applied to machine learning, in under twenty minutes.
45 minutes
Forty-five minutes of scikit-learn, from fitting a model to scoring it.
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.
17 minutes
Sample spaces, events and the basic rules of probability, in seventeen minutes.
2 hours
Two hours of R, taught as what it is: a language built for statistics.
57 minutes
The opening lecture of MIT's introductory deep learning course.
9 hours
Eight and a half hours on deep learning, from neural networks to the frameworks that train them.
10 hours
Ten hours of deep learning from Edureka, from the neural network up.
24 hours
Forty-four lessons covering the statistics behind machine learning, from sampling to hypothesis testing and interview questions.
1 lesson, about 2 hours
A single session, about 2 hours, published on YouTube by Pragmatic Works. Watched here on the course page.
Power BI
1 lesson, about 1 hour
A single session, about 1 hour, published on YouTube by Code with Josh. Watched here on the course page.
1 lesson, 45 minutes
A single session, 45 minutes, published on YouTube by Academind. Watched here on the course page.
