I have been a self-taught ML and Software Engineer, with 3-4 Yo Experience, However, I knew there where a lot of gaps in my knowledge base. This course has filled them. It was fun doing the labs, even if you have take the 2011 version of the ML specialization, this versions is a must for its labs. Thanks.

Excelente curso!!!. A diferencia de otros cursos, te enseña el porqué de cada una de los tópicos de las regresión lineal y logística, implementando cada concepto en código y viendo como es su funcionamiento paso a paso, incluso podrías tu mismo preparar tu propias librerías (similar a las de scikit-learn)

The course was very good, the Andrew methodology is incredible. The course provides the tools for both tasks of regression and classifications, using linear regression model and logistic regression. The course is guided for better purposes , but offers a view for the student development your owns tools.

I have taken this course 1st time, it is very helpful in understanding basic concept of Machine learning with great advantage of lab session which give great intuition about applying ML-alorithim. I should recommend this all specail those who are not from coding background but want learn machine learning

Amazing Amazing Amazing

Thank you very much for this wonderful course.

I learned a lot. Professor Ng has an amazing ability to teach complex topics very simple.

Thank you Professor Ng for this extraordinary course.

I want you to know that your hard work, dedication, and passion for teaching are appreciated.

This course is very well structured. I used to perfom linear regression with least mean square, but gradient descent is very intuitive and generic to other machine learning. I like the way this course learn you everything from the point of view of this algorithm, it helps capture the intuition this way.

This course was a great way of going back to the fundamentals of Machine Learning. Even though Regression and Classification formulas are very basic compared to the deep learning models and neural nets, I can already predict or hypothesize how those work internally using the concepts from this course.

The structure of the course was very helpful, and the instructor explained the concepts very well. Before taking this course, I found machine learning very confusing, but now I have a much better understanding. I am looking forward to the second course and have high expectations for what I will learn.

Excelente curso sobre regresión lineal y logística! La transmisión de los conceptos es muy clara, llena de ejemplos para evacuar dudas y con laboratorios en python para profundizar lo visto en clase. También da consejos muy útiles para poder aplicar los algoritmos a situaciones reales. Felicitaciones!

Amazing course, amazing content, amazing instructor. The way in which Andrew introduces the different topics is incredible and it is really easy to understand all of the concepts. As an introductory course to ML, I feel I'm beginning this course gave me a solid understand of the most basic concepts.

Very well organized course with detailed explanation of the concepts. The course teaches implementing algorithims from scratch while providing a good fundamental understanding of how the algorith operates. The practice assignments were great since yiu would write the core of the algorithm yourself.

As a begineer in Machine Learning, I would suggest this course should be the first one every one takes. Mr. Andrew provides an indepth yet crisp insight of the underlying logics enabling us realise a ML model. Having a bit of very basic math background will help understand the algorithms far better.

A very helful course for beginners the optional labs are tremedous and organised very professionally for beginners those who would like to learn Machine Learning. Background concepts are really well explained with real world examples. The whole course is a peice of Art!!!! Thank you Prof. Andrew NG.

This is my first full course on AI/ML. It has certainly helped me gain a lot of knowledge. The videos were clear, and the interactive labs were fun. I will recommend this course to anyone who wants to start learning AI/ML. Thank you Andrew Ng and everyone else who contributed to making this course.

A excellent course for those who are into learnning machine learning. This course is explained in detail with wonderful examples which makes the process of understanding easy . And the optinal labs provided with course which have interactive examples gave a great intuition about the course topics

In my opinion, this course is excellent. This course includes the concepts, application and considerations of machine learning (Regression and Classification) along with implementation in Python. This course is designed and implemented in the best way. All its content is informative and valuable.

I have struggled for so long in getting to understand how neural networks work. It turns out that neural nets are just simple logistic units arranged in some fancy ways. I decided to take this course and everything else unfolded after that. Thank you very much Andrew Ng, you an amazing teacher.

Very well put together course and material. Good balance with respect to some explanation of the underlying mathematics while minimizing the need for immediate deep understanding of these concepts. Clear, concise and well articulated explanations with lab materials to reinforce learned concepts.

First of all, Thank you for making such great content. I was totally new to Machine learning but now I don't because this course was really well organized with explanations in simple language.

Thank you again for providing me with such a great platform to learn, it will really help in my career.

Very complete course explaining classical academical regression and classification models. Very practical approach but without losing at any time the rigorous mathematical foundation behind the algorithms you are using accompaigned of several graphics to gain intuition about what is being done.

This is the perfect course any one can do if they are starting their journey towards data science and machine learning. Andrew Ng is just an amazing teacher and the way he has explains each of the concepts is the best i've ever seen. I wish I had a teacher like him during my studies in college.

A really challenging course for someone my age (77) who has not had any advanced math classes in over 50 years and only an introductory class in Python. But I got the certificate for class 1of 3. This could have not been done without being able to progress at my own pace. Thank you Andrew.

Very nice course. Anybody new to machine learning should be able to grasp the concepts with ease. It's a well delivered, well thought through and slow paced course designed for an effective learning experience. Big thanks to Andrew Ng and the team that put in the hours to develop this course.

i really like the course. Its very informative and has good hands on labs. Just a suggestion, it would suit curious minds like me a bit better if links were provided where i could look at the details of the math behind or read a bit into what was taught beyond the course. Great work thankyou

Course content and all optional lab are very helpful for the student who are changing their field from Any industry into field of Data Science.

All content are helpful and easy to understand.

Thank you coursera team and Deep Learning team to provide such kind of learning platfrom for biggner.