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Introduction to Machine Learning, Университет Дьюка

4.7
Оценки: 68
Рецензии: 13

Об этом курсе

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 TensorFlow, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more)....

Лучшие рецензии

автор: ER

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.

автор: SK

Sep 19, 2018

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

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Рецензии: 13

автор: Lewis C. Levin

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.

автор: Tarun Yadav

Apr 22, 2019

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

автор: Eric Theallet

Apr 18, 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

автор: Noah Ratliff

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.

автор: Abdul Majeed

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.

автор: Pranav Reddy

Mar 10, 2019

very good for getting started.

автор: Tami Zargari

Feb 28, 2019

Great Course!

A very comprehensive and clear introduction to the field of ML.

автор: Shukshin Ivan

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.

автор: Ayse Ulubay

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.

автор: KAVADIBALLARI VINEESH

Oct 24, 2018

GOOD COURSE