Advanced Learning Algorithms
DeepLearning.AI · View on Coursera ↗
Taught by Andrew Ng, Aarti Bagul, Geoff Ladwig, Eddy Shyu
Data ScienceComputer Science
About the course
In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world • Build and use decision trees and tree ensemble methods, including random forests and boosted trees The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.
The dissent
The most-upvoted critical review (5 votes, 2.0★).
“I was really hoping more detailes on xgboost and unfortunately the course level was very elementary”
Coursera's 4.9 comes from 8,803 ratings. Of those, 0.5% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗