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

4.9
stars
6,137 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

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Great course got to learn a lot of under-the-hood working of various machine learning algorithms. I would surely recommend ML enthusiasts to enroll in this course to upskill yourself.

AH

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Beginner level course, explained simple concepts on neural network specifically Multi-Layer Perceptron & Decision Tree, nothing advanced topics covered. But the explanation is very very good.

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51 - 75 of 969 Reviews for Advanced Learning Algorithms

By Mame B M

Nov 19, 2023

This course is excellent for anyone who is new to machine learning and wants to grasp the fundamental concepts behind it. This course has helped me understand many concepts that I couldn't understand before. I recommend it for everyone, especially if like me you're not the biggest fan of mathematics. Thank you to Professor Andrew Ng and all his team for this incredible work.

By 19 徐 徐

Apr 18, 2023

I think I will go through the vedio more times, because there are lots of great ideas in this courses. What I love about this course is that the instructers give a very clear path on how machine learning lead into Neural network and decision trees. It also includes many valueable methods to evaluate different models. It will be nice to camp in the random forest for a while.

By Mohamed J

Sep 14, 2022

Amazing Course! Sir Andrew Ng explains complex algorithms like neural networks and decision trees in great depth with more intuition than math which is Awesome and makes learning easier. Learned useful machine learning advices and practises which are as important as the algorithms. I enjoyed the course very much. This specialization is the best way for you to #BreakIntoAI.

By Pratham M

May 22, 2023

This course was very good at setting a base for neural networks and explaining the key concepts. Again, the interactive labs were great and made the course more interesting. I believe a bit more math for back prop and maybe decision trees could have been added. Other than that, it was a great course, and I will recommend it to anyone wanting to learn neural networks.

By Michael D

Sep 26, 2023

Andrew Ng is a great communicator and a great teacher. His explanations of concepts that I struggled to understand in the past have almost always clarified the concepts. He's so good at relaying an intuitive understanding of the concepts presented - he has a knack for making even really difficult concepts just make sense! Can't wait to enroll in the next course.

By 21UCS045 S P

Jun 23, 2023

It was awesome experience while studying this . I got financial aid for this and hopefully as sir says it's always about contributions , I will be contributing to ml community . Thanks for the opportunity , it was awesome experience although it was online but the quality of the content and its sequence of arranging topics with lab assignments were fabulous.

By Saad B

Sep 11, 2024

The course introduced me to new concepts and algorithms, including neural networks and decision trees. the instructor conveyed every concept very clearly and made it understandable. The labs were very comprehensive and detail-oriented for each algorithm. Looking forward to the complete this specialization and to opt for the next courses in this stream.

By Debarshi M

Sep 20, 2024

Absolutely wonderful course. The learning sequence, the topics covered, the learning pace, the hand-on labs, Andrew's explanation... could not have been more perfect. We do all kinds of professional learning throughout. But I have to say that I actually enjoyed learning with this specialization course. I was hooked to it and binge-learnt.

By Yasin A

Feb 12, 2023

With this course, I learned important concepts about models such as neural networks and decision trees used in supervised learning. The course also provides some important informations about machine learning applications used in real life. I recommend this course for those who want to get started in the field of machine learning.

By Jorge G

Feb 11, 2023

The content is very interesting and provides an excellent description of the subject matter.

In terms of teaching dynamics, Andrew is an excellent teacher. Congratulations and may you continue to be successful and continue to promote courses of this level.

Thank you for allowing me to have the opportunity to acquire this knowledge.

By Kshitij D

Oct 30, 2023

It is wonderful to learn from Professor Andrew Ng. Loved the jokes about Random Forest. I am grateful for the focus on elucidating foundational concepts in lectures, and the awesome (simply awesome!) optional labs -- which are rich with programming skill-builders. Ready to get started on the next course in this specialization.

By Enrique B G

Sep 30, 2022

A good Continuation from the first course, it uses the solid foundations gained previously and aplies them on Neural Networks, Decision Trees and Theory on when and how to improve a learning algorithm. Andrew explains difficult concepts in an easy way jus words of thank you to all the team for sharing this knowledge with us

By 21020517 N M H

Jul 18, 2024

I absolutely love how lecturer Andrew Ng guided me through the concepts and algorithms of Machine Learning. The simplistic way he explained the functions and concepts really showed that he's the top, the leading expert in this field. I'd love to thank him personally for this amazing learning experience. Andrew, you rocks!!

By Daniel B

Sep 7, 2023

This course was a really good experience for me, I learned so much! Thank you Jesus for allowing me to stumble upon this course. Try it out, you will love it.

A huge thank you to Andrew Ng and the team behind this specialization, you guys did a really good job. May my Good God Bless you.

Thanks again

Bamilosin Daniel Eniola

By Ayush B

Jul 5, 2023

Being a beginner in Machine learning, I learnt a lot of things applying and understanding the basics. I liked the way different ML models algorithm like Xgboost and Random Forest are taught, making it more interesting and inducing the curiosity to learn and explore more about the deeper intricacies and concepts in it.

By Keith

Aug 4, 2023

A truly wonderful course! Between this and the Supervised Learning: Regression and Classification, I feel that many gaps in my knowledge were addressed. It provides the Data Science and theory behind the python that I needed to get a sense of what the commands were doing. Many thanks - you're truly exceptional!

By Dahiru I D

Sep 10, 2022

As per everything Andrew Ng, very intuitive and easy to understand.

If you're wondering how the backpropagation equations came to be though, check out the videos I made working it out (my way of giving back)

Link to videos (with Coursera's approval to post): https://www.youtube.com/channel/UCqvDiAJr2gRREn2tVtXFhvQ

By Mustafa Ö

Oct 8, 2022

Great course for learning fudamentals of neural networks and decision trees. Andrew Ng is the best instructor I have ever had in my entire education life. I hope he keeps developing open-access classes like this in the future as well. Thank you for those who contributed to bringing this awesome class together.

By Han

Apr 5, 2023

Andrew Ng is such a great teacher and scientist! He is also very kind, engaging and most importantly he wishes to disseminate the great tool and knowledge of AI and computer science to the world! I am very pleased and happy that I did this course with Andrew Ng and learn so much about machine learning and AI.

By Adam L

Jun 7, 2024

I had done some courses like this in the past, but it's been 5 years since that time so I wanted to refresh my knowledge. I've got to say that this is by far the best beginner-level course of this type with the teacher giving lots of intuition, something that I find lacking in most other computing courses.

By Shefali C

Jul 16, 2023

I simply love Andrew Ng's teachings. He makes every topic so easy to understand, while also highlighting the importance of in-depth study.

The labs are great. Interactive visualizations of how transitions take place after every step of algorithm is the best part.

Thanks a lot for creating these courses!

By Jesuyanmife E

Sep 25, 2023

I'll definitely recommend the course to anyone starting out, as it helped breakdown hard concepts into understandable bits. Kudos to our favorite tutor, Prof. Andrew Ng for taking his time to do this. I've been imparted with enormous knowledge, and looking forward to what the future has in stock for me

By Sohail D

Mar 1, 2023

Although i am not good at Mathematics and neither i have prior knowledge of Mahine Learning algorithms but This course got me from very beginner level into depth of neural network and made me to further explore this field. The course is organized in such a beautiful way so that anyone can understand.

By Diego C M

Jul 18, 2022

Excellent content to learn how to model, evaluate and implement your first neural network in TensorFlow. Andrew is an excellent and passionate instructor. The assignments in Jupyter Notebooks are very well-curated and effectively help to understand the nuances of the theorical concepts. Thank you!

By Raul C

Aug 13, 2022

The ideas are explained in a very practical and understandable way. No deep mathematical background is needed to complete the course. Just the high school level and some knowledge about Python programming. Very recommendable course to get a general idea about decission trees and neural networks.