Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
56 courses for “Machine Design Basics”
33 hours
66 lessons, 2000 minutes in all.
18 minutes
Continuous integration applied to machine learning, in under twenty minutes.
New courses, a couple of emails a month. One click unsubscribes.
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.
2 hours
Two hours of R, taught as what it is: a language built for statistics.
24 hours
Forty-four lessons covering the statistics behind machine learning, from sampling to hypothesis testing and interview questions.
1 lesson, about 1 hour
A single session, about 1 hour, published on YouTube by Onur Baltaci. Watched here on the course page.
9 lessons, about 7 hours
A 9-lesson playlist on Power BI, about 7 hours, published on YouTube by Microsoft Power BI. Watched here on the course page.
10 lessons, about 2 hours
A 10-lesson playlist on UX/UI design, about 2 hours, published on YouTube by DesignXstream. Watched here on the course page.
37 lessons, about 8 hours
A 37-lesson playlist on UX/UI design, about 8 hours, published on YouTube by Mizko. Watched here on the course page.
81 lessons, about 24 hours
A 81-lesson playlist on UX/UI design, about 24 hours, published on YouTube by Pelfizz. Watched here on the course page.
7 lessons, about 1 hour
A 7-lesson playlist on UX/UI design, 54 minutes, published on YouTube by Figma. Watched here on the course page.
16 lessons, about 18 hours
A 16-lesson playlist on UX/UI design, about 18 hours, published on YouTube by Figma. Watched here on the course page.
1 lesson, 12 minutes
A single session on game development, 12 minutes, published on YouTube by Brackeys. Watched here on the course page.
1 lesson, 8 minutes
An eight-minute introduction to machine learning: how a model learns from data, the difference between supervised and unsupervised learning, and where each is used.
1 lesson, about 12 hours
Twelve hours for people starting from nothing: the vocabulary, the mathematics that cannot be skipped, machine learning and deep learning, and worked examples throughout.
1 lesson, about 5 hours
Five hours covering artificial intelligence end to end: what it is, how machine learning and deep learning sit inside it, the algorithms in common use, and where the field is applied.
8 lessons, about 9 hours
8 sessions on growth hacking, about 9 hours in total, published on YouTube by Iacopo Livia. Watched here, lesson by lesson.
10 minutes
? Course Introduction | Complete Management Consulting CurriculumWhat does a management consultant actually do?This course is a step-by-step guide to manage...
