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

4.9
stars
6,674 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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1001 - 1025 of 1,030 Reviews for Advanced Learning Algorithms

By Vedant J

•

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

•

Apr 19, 2023

Nice course for ML

By tijani r

•

Oct 10, 2024

Great course

By Rajeev T

•

Nov 5, 2022

Much Thanks

By Huỳnh T T

•

Jul 17, 2023

Great!

By Putri A A

•

Apr 15, 2024

good

By ATHARV S (

•

Nov 7, 2022

good

By Scott W

•

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

•

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

•

Apr 27, 2023

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

By Yesid J

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Jul 27, 2024

Este fue más práctico pero igual, mucha teoría, poca práctica

By Narendra R

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Nov 5, 2023

Excellent content except for decision trees

By Pavan N

•

Dec 26, 2022

good

By hafida n

•

May 11, 2024

BON

By Shahzaib k

•

Aug 8, 2024

its a great course that I have done in my life .I am really excited that I should able to learn some thing new from Andrew ng which is best professor of all time. I am really thankful to the all the team members and the staff who contribute in creating the specialization machine learning course . I am the luckiest student that I should participate and join the coursera platform for my personal growth . I really re commend this course and specially the course platform for the machine learner who want to be a part of this platform . This platform provide a great opportunity to learn new thing and deep dive into the new trending technology .

By Patricia R

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Oct 20, 2023

La verdad no me gustó porque finalmente uno lo intenta y sin aprobar los laboratorios que no entiendo por que dan error si apruebo los test, segun el sistema igualmente indican que no estás aprobado y no hay forma de obtener los certificados aunque hayas cursado todo y aprobado los examenes remanentes, asi que mal, realmente me ha pasado ya varias veces con coursera asi que me rindo siento que así no vale la pena tanto esfuerzo porque al final vale es el certificado

By Paul J

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Apr 13, 2023

If I could give it negative stars I would. You have completely wasted my time and money. I got to the next-to-last question on the last graded lab, and although my results appeared to match what was required -- according to the lab feedbac - an odd Python error was triggered that caused my submission to be ungrade-able. ZERO useful feedback provided. This ended up being a rip-off.

By Brian H

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Sep 26, 2023

No means to get help for final assignment. Received correct expected answers for all four questions but was given a 0% on the grade with no access to course help.

By Prabesh S

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Nov 3, 2024

Personally, I did not like the coding aspect of this course. Theoretically, this course is sound