Top AI training review: Stanford University Machine Learning

What is Stanford University Machine Learning?
Stanford University Machine Learning
is an 11-week online course  for learning about the basics of machine learning. Stanford University professor Andrew Ng (previously head of Baidu AI Group/Google Brain) is the creator and it uses the Coursera platform.

Is Stanford University Machine Learning for experts or beginners?
With a very heavy workload (24 reading units just in Week 1), and a steep learning curve, it would be not be ungenerous to say that Stanford University Machine Learning is for the techie’s techie with ambitions.

Is Stanford University Machine Learning expensive?
Stanford University Machine Learning
costs just £58, and is free if you don’t want a certificate at the end or any marking. So that’s very reasonable.

What are the benefits of Stanford University Machine Learning?
Stanford University Machine Learning
lets users grapple with backpropagation algorithms, error analysis and support vector machines.
Stanford University Machine Learning
introduces learners to MATLAB.
Stanford University Machine Learning
teaches through video lectures as well as text.
Stanford University Machine Learning
is flexible, so if you just can’t meet a deadline, you can redo from that point at a later date.

What is Stanford University Machine Learning not so good at?
Stanford University Machine Learning
makes no concessions to depth, meaning you have to dive right in or not at all. Not for those who’d like to know how to use a few tools quickly and dirtily.

How popular is Stanford University Machine Learning?
As you might imagine from the price vs content ratio, Stanford University Machine Learning is extremely popular.

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