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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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76 - 100 of 969 Reviews for Advanced Learning Algorithms

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 Ronald P T R

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Aug 5, 2024

He aprendido Algoritmos Machine Learning , con las clases , videos, laboratorios con Python, Tensorflow , para profundizar conceptos , conversas (chat) con el Coach , ello me permitió desarrollar una sólida base en el diseño e implementación de algoritmos de aprendizaje automático.

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.

By Luis L

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May 31, 2023

The material presented was clear and easy to understand, the algorithms are explained by Dr. Ng in a manner that "you can visualize..." the logic. The programming part is done totally, you have just to follow the code.

In summary, it was a great learning experience. Thanks

By Vedant P

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Aug 3, 2024

Not one of the best but, actually THE BEST course one can have on machine learning to get both, theory and hands on experience for boosting their skills in this domain. crystal clear explanation with every concept being covered, hat's off to our Instructor : Andrew Ng

By Javier

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Sep 16, 2022

I think the content is great as well as the teaching method. I think that anyone, with enough time can get to understand everything. Besides, experienced ones can also learn a lot from this course. This is a must-to-do course to get into the world of Machine Learning

By Nirone L

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Aug 21, 2024

Understanding advanced learning algorithms never felt this convenient thanks to Dr.Andrew's. The content of the second course of this specialisation enabled me to gain a deeper intuition of how neural networks and decision trees work in the field of machine learning.

By N190110 P J

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Aug 28, 2024

it was very good. especially for beginners who want to start their career in deep learning engineer it is the best one. anyone can understand the course if they have some prior knowledge in mathematics like derivatives, vectors and some machine learning algorithms.

By Erfan D

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Feb 5, 2024

It is a good course in terms of teaching concepts, but in terms of programming, the assignment expectations at the end of each week are somewhat inconsistent with the topics taught. The course teaches concepts well, but assignments don't align with weekly topics.

By Arumachalam R

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Sep 27, 2023

Excellent presentation of concepts and guidance on best practices. The instructor provides the right motivation for the concepts and the labs really highlight the finer nuances of programming these concepts. The material on ethics in AI was very much appreciated

By Gerry P

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Feb 18, 2023

best of the 3 courses in the specialisation but still let down a bit by the programming assignments. The original Machine learning course was more challenging when it came to graded assignments, this one less show with the hints not being hints but full answers.

By Sergey M

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Aug 21, 2022

Liked the explanations, steady pace and examples, clearly painstakingly learned places where students learn slower are addressed. Rather few labs in this one, but seem to cover main basics. Learned quite a bit, although taking as a refresher. Good update! Thans!

By Pritam D

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Jul 9, 2022

My favorite part was how beautifully the concepts from the first class, and more generally linear learning algorithms, are connected to neural networks. The mentors are so helpful, you feel like you have a private tutor teaching you advanced skills. Amazing!

By Florian W

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Jul 16, 2022

I really enjoyed the course. Andrew is a great teacher. The examples were well chosen and it was not too complicated to follow. Good to take a look behind the scenes of what the state-of-the-art libraries are doing.

Also +1 on the the dad jokes at the end ;-)

By mahanth m

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Sep 18, 2023

When i started the Machine learning journey, i always had a doubt on this neural networks on how all this works, whether it is worth it to learn. After this fantastic course by Andrew, I am feeling more positive and motivated. Thank you Andrew and Coursera

By Ali Z

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Jul 26, 2024

Advanced Learning Rate on Coursera provided deep insights into optimizing learning rates for complex models. The course was well-structured and included practical strategies that enhanced my understanding. Highly valuable for advanced ML practitioners.