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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
18,061 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression 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 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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

JM

Sep 21, 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

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151 - 175 of 3,771 Reviews for Supervised Machine Learning: Regression and Classification

By Paul A E

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Jul 29, 2022

I really adore listening to Mr. Andrew Ng, especially when he tells something along this line, "You don't need to worry about that." This course is very beneficial for me, because I am training to become a Machine Learning Practitioner. What I learned from this course will really be what my job will be. Thank you Mr. Andrew and to the whole team who developed this course. You have developed in me the intuition I need to be an equipped and responsible Machine Learning Practitioner in the future.

By Abdullah M

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Aug 8, 2022

One of the best course on Machine Learning on the Internet. The teaching methodology of the instructor is amazing. He is humble and explains everything from maths to the implementation of models from scratch and also with the help of libraries. The lectures are so well organized and well planned. This course actually set up the fundamentals of machine learning very strong with all of the insights + maths + coding. It actually helped me a lot about what actually ML can do in reality.

By DR A J

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Jul 3, 2022

Excellent course! Clear insight given by Andrew on complex concepts using simple examples. Alternative way of teaching this course would be getting into linear algebra and calculus, but then then learners would have missed practical aspects of this course. I liked the fact that the focus is on practical applications. Optional labs were very useful. They gave crisp demonstrations of concepts covered in the videos. As a beginner with python, I learnt a great deal of pythons as well.

By Pasindu V

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Jan 10, 2024

"Thank you very much for providing such clear explanations in the Supervised Machine Learning Regression and Classification course on Coursera. The clarity of your instruction greatly contributed to my understanding of the material. I appreciate the effort and expertise that went into creating this course. It has been a valuable learning experience, and I feel more confident in my understanding of regression and classification. Once again, thank you for your excellent teaching!

By Oscar A

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Oct 2, 2022

Súper bueno, estaba esperando este curso en la versión de Python y me encantó. Se enfoca en entender gráficamente cómo funcionan estos algorítmos de tal manera que uno pueda jugar con las variables y los datos para ver visualmente como cambia el proceso de optimización. Una vez se entiende gráficamente se procede a ver las matemáticas detrás de esos algorítmos, las cuales entran más facilmente luego de haber entendido el proceso visualmente y didacticamente. Súper recomendado.

By Dr. P N

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Aug 31, 2022

Very good structured and step by step explainations. The practical parts were not always easy but a very good proof of the individual undersanding.

After completion I will certainly have a look into the examples just for refreshing after finishing and gaining the full picture.

Very good, even my son studying AI did already know who the lecturer is: One of the best world wide.

What shall I say more? Learning from the best in the world is always a pleasure and a benefit forever

By Carlos J G

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Jun 28, 2022

El curso es muy claro y bien dictado. Es me jor que el curso de achine Learning que estoy tomando también con NG. Recomendaría unos ejemplos mas trabajados y un curso previo de Python, pues esta es la parte que me costó mas trabajo. Aunque los ejemplos son en Jupieter, hay mucho software oculto que uno no puede entender y analizar. Lástima que por los costos no pueda continuar con los demás cursos, por eso quedo a la espera de la ayuda financiera.

Gracias

Carlos J. Gorricho

By Atharv P

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Sep 23, 2023

This course has helped me to understand the fundamental concepts of machine learning and has provided deep insights to various algorithms that are used in machine learning. This is a beginner friendly course so anyone who just wants to learn machine learning without having any prior experience in this field can take up this course. Taking this course was a very good decision and this course has provided me with a basic knowledge and understanding related to machine learning.

By Théo D

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Dec 17, 2022

An excellent teacher, with high-quality (and addictive) lectures which really motivated me to continue into the domaine of Machine learning and Deep learning ! I highly recommend this course for everyone, especially for beginners who want to know more about the field ; the flow is nice, it's easy to follow at your own rythm and doesn't require much skills prealably, so very accessible. Thanks to Stanford University and Coursera for this first experience that I enjoyed a lot

By Thomas M

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Jul 5, 2022

I completed the Machine Learning course a few years ago and wanted to refresh my knowledge with this new speciality course. I think that this course was far superior. The use of Python in conjunction with the Jupyter notebooks isa big improvement over the Octave/Matlab usage in the first course. And my congratulations to the builders of the optional labs. They are extremely detailed and appear to have taken a lot of work in design and implementation.

Thank you.

Tom Mone

By Mrityunjay U

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Sep 12, 2023

The course content is well-structured, Andrew Ng's teaching style is exceptional; he has a unique ability to explain complex concepts in a simple and intuitive manner. One of the strengths of this course is the hands-on approach. The programming assignments using [programming language] and [machine learning library] were challenging but immensely rewarding Thank you, Professor Andrew Ng, for sharing your expertise and making this course accessible to learners worldwide.

By Samuel B d S

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Feb 23, 2024

É um curso excelente o Andrew Ng tem uma didática excelente fazendo com que o curso seja prazeroso de se fazer abordando tópicos de machine learn focados em regressão linear, classificação, regressão logistica. No curso ele procura aprofundar e falar sobre o funcionamento detalhadamente de cada um dos processos de machine learn não apenas mostrar um sistema "caixa preta"- scikit learn ou simplesmente falar que regressão é uma reta que melhor se aplica aqueles dados.

By Amir B

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Nov 8, 2023

i think this machine learning course was amazing, i learned quite alot , i now understand so many concepts and techniques thanks to the great instructors , videos and also the labs i was provided with. the quizzes and also the question in the videos made sure i payed the required attention needed to learn the concepts required. Overall i want to say a big thanks to mr andrew ng and all the people who have made this machine learning specialization course possible :)

By Suraj B

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Jul 20, 2022

This is the best course for revising the fundamentals of Supervised ML. I enjoyed the thorough explanation by the course instructor Andre Ng. Many topics covered in this course such as Regularization, Overfitting, and Gradient Descent are building blocks for Deep learning(NN). The practical approach for the implementation along with the conventions stated by Andrew makes this course the best among all. Overall, I enjoyed a lot learning the first part of this course.

By Alberto Y W

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Mar 19, 2024

I just finished Coursera's 'Supervised Machine Learning: Regression and Classification' course, and it was fantastic! Dr. Andrew Ng's clear explanations and engaging lectures, along with interactive quizzes and assignments, made learning a breeze. The high-quality videos and slides enhanced the experience, and I now feel confident in my understanding of machine learning concepts. I highly recommend this course to anyone interested in diving into machine learning.

By Sudhakar V

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Jul 11, 2022

The course covers the basics, which help understand the concepts behind regression and classification.

The labs are in python, which makes it easier to follow.

Programming the cost function and many other functions manually instead of just using the library helps understand the concept.

Finally, the instructor Andrew NG is calm and composed in explaining the complex concepts and making them easy to understand.

I thank the entire team for coming up with this course.

By Dave W

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Mar 5, 2023

I'm returning to Machine Learning after an eight-year absence. Andrew Ng is able to convey not only the 'how' behind Linear and Logistical Regression, but also the 'why.' I chose to pay for this course instead of taking other courses that are available to me because of its didactic excellence. Kudos to Deeplearning.AI for their efforts to provide a first-class education, even at the beginning level. I look forward to proceeding onto the next course and beyond.

By Jeffrey G

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Apr 17, 2023

Wow! Great course! I was lost watching ML videos on YouTube, until this course came along. Now I have a good understanding of the fundamentals of machine learning. This course is a necessary requirement to be able to move on to advanced algorithms, neural networks, and TensorFlow. Andrew Ng explains things very clearly and gives what is needed to understand. The course materials and downloadable working python code examples helps get you started easily!

By Nikhil B

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Feb 27, 2024

I absolutely loved the teaching methodology and the quality of the content that was provided along with the practice lab. It was challenging and that's what makes it one of the best courses in the ed-tech market. I would highly recommend it to my friends and my fellow learners. I would like to express my sincere gratitude to Dr. Andrew Ng and Team for designing such a course that makes you the master of machine learning algorithm form basics to advanced.

By Priti S

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Feb 8, 2023

Thanks Andrew for explaining the concept in details and also making it easier for us as beginners to understand. The course structure is very elaborate and the optional labs has helped me understand all the topics covered better in comparison to books on Machine Learning. The optional labs also has graphs where we could visualise the equations and logic implemented and even we can play and modify the equations and values to understand the topic better.

By Amirhossein S

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Mar 14, 2023

the first step is done!

special thanks to Andrew and his team and also Coursera to make this perfect course.

this course is really motivational and you won't get tired during the course, if you are hard work it guaranteed you will be passed it.

the content of the course is a combination of theoretical machine-learning mathematics that teaches in the simplest way thanks to Andrew and the coding section that help you to use these formulas in practical problem.

By Charlan D C

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May 28, 2023

The concepts taught in this course are relatively easy to grasp. However, I found the algorithms portion to be challenging, possibly due to my lack of foundational knowledge in linear algebra and calculus. Nevertheless, with dedication and perseverance, it is certainly possible to understand them. It took me about a month to complete the course, but I believe it will take me years to fully comprehend and internalize the complex concepts presented.

By vinay k g

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Jan 8, 2023

Such a good course! I did try out some ML courses on other platforms, but this one really made me stick till the end. Also, I love coursera's grading system and the way it asks us questions after every lecture. It really keeps the learning cycle healthy. I loved Instructor Andrew's explainations and vivid example on most of the concepts. If anything, I love the fact that this course generalizes a lot of the concepts into some daily life examples.

By Luciana R

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Jan 5, 2024

I acquired a good amount of knowledge by doing this course. I haven't done any machine learning course before, so the topics covered in this course helped me to understand the process behind the gradient descent algorithm and how it is applied to solve regression and classification problems. The programming assignments were good for understanding the code behind the functions that we generally use to solve regression and classification problems.

By Darshit S

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Apr 16, 2023

I really enjoyed the courses that Prof. Andrew taught. He has a special talent for explaining things in a way that's easy to understand. I learned a lot from him and it was a great learning experience. I think it's important to have teachers like Prof. Andrew who can make learning fun and interesting. It motivates students to learn more and enjoy the process of learning. Overall, I am grateful for discovering the courses taught by Prof. Andrew.