MLOps: Continuous Integration for Machine Learning
18 minutes
Continuous integration applied to machine learning, in under twenty minutes.
Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
52 courses for “MIT 6.S191: Introduction to Deep Learning”
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.
New courses, a couple of emails a month. One click unsubscribes.
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.
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 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.
1 lesson, about 2 hours
A single session on product management, about 2 hours, published on YouTube by Great Learning. Watched here on the course page.
1 lesson, 23 minutes
A single session on generative ai, 23 minutes, published on YouTube by Google Cloud Tech. Watched here on the course page.
1 lesson, about 4 hours
A single session on it & networking, about 4 hours, published on YouTube by Kunal Kushwaha. 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, 6 minutes
A short illustrated introduction to what artificial intelligence is and how it differs from ordinary software, drawn rather than presented from slides.
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.
1 lesson, 6 minutes
A short orientation: what cyber security covers, what a security analyst actually does, and the skills worth learning first. Taught in Hindi.
23 minutes
With the Change Management online training, employers will see you as a value addition to the organization. The e-learning is recommended for those who want...