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

4.9
stars
4,921 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.

MN

Jul 29, 2023

Another fantastic course by Andrew Ng! He covers neural networks, decision trees, random forest, and XGBoost models really well. I like that he shares his intuition behind every concept he explains.

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51 - 75 of 801 Reviews for Advanced Learning Algorithms

By Jorge G

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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

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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

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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 Daniel B

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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

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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

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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

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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

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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

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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 Shefali C

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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

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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

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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

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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

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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.

By Xie J

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Jul 2, 2023

very good course, teach complicated things in simple language which can be easily understood by people. The online practices are well designed. They helped me to understand and memorize the concepts and the algorithoms. Thanks to Andrew and all other contributors who built the course.

By Mattia C

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Mar 26, 2024

The course gives a good introduction about neural network, gives some usefull ways to evaluate and select the appropriate model among different ones and finally, explain decision trees and tree ensembles. Andrew is great, teach very well and it's easy to understand. Very recommended.

By Edi W

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Mar 11, 2024

Very good explaining fundamental concept which perfectly hit the balance of theoretical and keeping the idea simple. This helps digesting the concept easier. Quizzes and project labs are outstanding and really hit the level needed to check the understand of the concept to student.

By Ganael D

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Feb 15, 2024

After completing this course, I have confidence in my ability to handle supervised machine learning projects. It was great! Andrew Ng is a fantastic teacher, everything was clear and easy to follow. I absolutely recommend this course to anyone who wants to learn machine learning!

By Carlos C P

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Nov 6, 2023

I'm taking the machine learning specialization as my way back to interesting and challenging studies, after years of just boring work as a software developer. I'm really enjoying Andrew's capacity to explain these topics in an easy way while drastically improving my capabilities.

By Shreya K

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Apr 8, 2023

The course was very insightful,.I especially enjoyed it because, aside from explaining the core concepts and algorithms in machine learning, I was taught how and when to apply them, as well as a lot of important advice regarding how to apply and finetune such learning algorithms.

By Rishabh G

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Sep 29, 2022

This course was highly intuitive and the lectures and practice labs allowed me to understand the concepts with great ease. I also enjoyed the short bits of humor provided by Andrew Ng during the lectures. Thank you for this experience! Highly appreciate the design of this course.

By Carla P

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Jul 22, 2022

Excelente contenido, conceptualmente accesible para iniciar en el Machine Learning y en Redes Neuronales. Tambén la parte de árboles de decisión fue relativamente nuevo para mí y me gustó mucho como se explicó. Infaltables los chistes de Andrew para distraer entre las ecuaciones.

By Aditya M

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Jun 27, 2023

I am in complete AWE. Couple of years back I took similar course, but I was unable to understand even some simple concepts like Entropy. Andrew made it pretty easy with his simplest form of explanation. The codes were a bit difficult to understand, but Hey... I just started :-)

By Benoît T

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Jul 20, 2023

Perfect introduction to more advanced techniques in machine learning such as neural networks and decision trees. A lot of hands on labs to experiment with and not only are the tools explained itself, but also the way you use the tools, make decisions on which model to use, etc.

By Jaime J C C

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Dec 6, 2023

I am impressed by the instructors of how they are capable of explaining things on simple terms. I knew about this algorithms explained here but I have learned new stuff that completes my understanding of them and can help me to deploy them when they do not work as expected.