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Opiniones y comentarios de aprendices correspondientes a Introduction to Machine Learning por parte de Universidad Duke

4.6
estrellas
498 calificaciones
121 revisiones

Acerca del Curso

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more)....

Principales revisiones

AP

May 26, 2020

It's really an amazing field to learn new things and from institute is like Amazing to me I've learnt more ...it's not at all boring and we'll will be excited for future experience with you 💯

GC

Jul 09, 2019

Very good introductory course, I highly recommend it to anyone looking to get a flavour of the methods behind the recent advances in AI without going into super-technical details.

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1 - 25 de 123 revisiones para Introduction to Machine Learning

por Lewis C L

Apr 22, 2019

Much weaker than Stanford offerings. Strange buildup of topics for a breezy, but not particular accurate understanding. For example: multiple layers of a neural network is introduced before multiple category classification. Transfer learning is introduced incorrectly. The matrix representation of multiple features of an example with multiple examples is introduced very late in the course. The instructor is conscientious and seemingly knows the material despite using non-standard terminology. One wonders if he is primarily a teacher/researcher and rarely a practitioner. One wonders if Duke is a leader in machine learning research.

por Erica R

Oct 05, 2018

This was a really great course for understanding the basics of machine learning through a lot of simple but relevant, real world examples.

por Michael B

Sep 30, 2018

Excellent course. Concepts such as gradient descent and convolutions as they pertain to neural networks are explained without going into the mathematical details but, in my opinion, are explained more intuitively and better, as compared to most other courses. The course does include some ungraded Jupyter notebooks exemplifying key elements of deep learning networks. Highly recommended to 'cement' understanding of neural networks.

por Eric T

May 28, 2019

Great course ! Pr Carin is clear enough to make you understand complex concepts like LSTM. The Math, calculus, algenra and prob are not too difficult. I enjoyed to follow this course ! To conclude a good introduction to ML to make you go deeper into the subject

por Shukshin I

Nov 24, 2018

It was great to touch new professional area and to understand its fundamentals. The course gives a broad view on machine learning, so I think now I really understand, what the machine learning is and how to use it in my work and even my political investigations.

por Sonic S P

Mar 31, 2020

Very good introductory course ,very well designed and professors explaination is very easy to understand .Go for it guys !

Happy learning !!!!

Sonic Somanna PK

por Riley B

Jul 30, 2019

I liked the pace and the tensor flow applications. This should be upgraded to TF 2.0 at some point. Also, I would've appreciated some GAN material.

por Ayse U

Nov 12, 2018

I like this introductory course, very good one to start to learn machine learning. I will definitely continue studying and re-watch the videos.

por Sameera K

Sep 19, 2018

Very Good course explaining the theoretical concepts related to deep learning . Thank you

por Tarun Y

Apr 22, 2019

A very fine tuned Course,used as a warm up course for deep learning,highly recommended

por Noah R

Apr 05, 2019

Great course for beginners, did a lot to fill in the gaps in my knowledge. There could be a little more help with the actual coding parts of the project, the work done in ipython notebook is largely self-taught.

por Jonah P

Jun 02, 2019

The course is a good balance between learning key concepts and doing coding, the coding being optional. The phrasing of quiz questions and answers were sometimes confusing.

por KAVADIBALLARI V

Oct 24, 2018

GOOD COURSE

por Aimee M

May 20, 2020

I was an engineering major at Duke, but never took any sort of computer science/machine learning classes because I didn't have time. This class was super straight forward. Everything just made sense. I don't know how to say it other than that. It was great to see how much of the math and signal processing things I learned could be applied to something like machine learning. Before this class, I had no clue what machine learning was, and now I feel like I understand the main gist and the basis for all of the math behind it.

por Girish C

May 08, 2020

Really enjoyed the course - it was a bit heavy and required getting used to (also this was my first time doing a course online) but the course has a nice rhythm and it was excellent once i got the hang of it. Very useful course to get an insight into the world of Machine Learning and to increase curiosity and interest.

por Abdul M

Apr 02, 2019

I have a background in pathology and I wanted to understand how machine learning works so that I can take an active part in the changes within my field and understand what is happening. This course was an amazing experience of learning, for someone like me with no background in calculus or linear algebra.

por Bernard O

Apr 03, 2020

From zero background in Machine Learning to average in Machine Learning. I feel proud of myself, the journey has not been easy, I know with time and determination I shall get there, thank you Coursera for this privilege, I am grateful.

por Anurag S

Jan 17, 2020

This course is an eye opener for anyone who wants to step or learn about Machine Learning. It provides various scenarios and the steps which you can apply to current real world problems.

This course is a must for all the beginners.

por Simone s

Jun 03, 2020

An insightful course, which throws light on the basics of machine learning. This course was super simple to understand had great examples for better understanding. The content of the course was well structured. Worth it!!

por VIVEK R

Jun 01, 2020

It is one of the very required course for beginners in ML, The problem is that it lacks in its python implementation. If there is the python implementation of this course then no other course is better than this one

por Anumagalla p

May 26, 2020

It's really an amazing field to learn new things and from institute is like Amazing to me I've learnt more ...it's not at all boring and we'll will be excited for future experience with you 💯

por Guido C

Jul 09, 2019

Very good introductory course, I highly recommend it to anyone looking to get a flavour of the methods behind the recent advances in AI without going into super-technical details.

por Ankur O

May 07, 2020

This course give a good introduction toward machine learning and AI. someone who wants to pursue his/her career in ML and AI in future this course would definitely help him/her

por Dr. A A

May 09, 2020

I have learned the basics concepts of CNN, RNN and other concepts may be used in Machine Learning. Instructor presents in a very simple way. ***** to Instructor

por Jithesh N V

May 03, 2020

Very good course , good teaching method and easy to understand the lessons. I recommend for the beginners in Machine Learning.

with thanks ... Jithesh N V