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Learner Reviews & Feedback for Advanced Learning Algorithms by DeepLearning.AI

4.9
stars
6,545 ratings

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.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key theoretical concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Top reviews

DG

Apr 14, 2023

Extremely educational with great examples. Helpful to know Python beforehand or the syntax will become a time sync, and understanding the mathematics as going through the class makes it a decent pace.

SL

Aug 27, 2022

After copleting the course I found all conceptual knowlegde for visualising and implementing the algorithm in my work. Before this course I was not using the full potential of the advanced algorithm

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976 - 1000 of 1,013 Reviews for Advanced Learning Algorithms

By Nishant M

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Dec 18, 2023

Please add some content to get started with kaggle assignments

By Muhammad A

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Sep 3, 2023

You should focus more on practical implementation than theory.

By FRANCISCO J R D L M

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Jul 30, 2022

Good intro to some machine learning algorithms and techniques

By Kunal S

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Jan 5, 2024

Andrew sir is phenomenal only concern is lagging of labs

By Ahmad R

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Aug 11, 2023

More MCQs and More assignments would be of more help.

By Hosein F

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Oct 24, 2022

Better than the first course because of more topics

By Rajib M

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Feb 3, 2024

More quizzes can be added during the video

By Raayan D

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Jun 2, 2023

Decent introduction, hand-wavy at times

By Mohamed S

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Apr 8, 2023

I need more projects to practice on it

By Vedant J

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Apr 15, 2023

less coding part in videos of week 4

By Thota R

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Sep 6, 2024

Very Useful But only theoretical

By Mohsin S

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Jan 16, 2023

good course for machine learning

By Arpit G

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Jun 9, 2024

try to inclube more math

By Nan X

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Nov 7, 2023

Bugs in assignment

By massimiliano t

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Apr 19, 2023

Nice course for ML

By tijani r

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Oct 10, 2024

Great course

By Rajeev T

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Nov 5, 2022

Much Thanks

By Huỳnh T T

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Jul 17, 2023

Great!

By Putri A A

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Apr 15, 2024

good

By ATHARV S (

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Nov 7, 2022

good

By Scott W

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Jan 18, 2024

It was a great intro but I found some of it to be a bit surface level in this course compared to the other courses and decision trees seem to be very impactful. For example, I would like more depth on things like how to properly evaluate the performance of decision trees and how one might use that analysis to optimize. The neural network courses we used cross validation and variance and bias to create ways to pursue effective next steps. Overall it was a great crash course, but I feel I have a lot more studying to do here and it might have been nicer to spend another couple hours in the course touching on some deeper topics.

By Ali F

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Aug 5, 2023

The NN explanation was very bad. I think Andrej Karpathy did a much better job at doing that. I actually watched that first and then this course and it made lots of sense to me.

By Rezha I H

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Oct 1, 2024

menurut saya lebih banyak ke konsep sebaiknya perbanyak dalam code misal dalam vidio menjelaskan code dan consep secara bersamaan agar lebih mudah

By Wassim R

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Apr 30, 2023

Very good at the begining. But a little borrowing in week 4.

I learnrd many skills. Thank you

By Yousef A

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Apr 27, 2023

I believe if there are more practices and much challenging ones it would be more beneficial.