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Introduction to Machine Learning に戻る

デューク大学(Duke University) による Introduction to Machine Learning の受講者のレビューおよびフィードバック



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)....



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.


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.


Introduction to Machine Learning: 26 - 37 / 37 レビュー

by Akhil K

May 19, 2019

Very Interesting Course

by Veerraju C

Oct 20, 2019

Very good learning

by Aliraza

Jul 02, 2019

Simply Brilliant

by Antonio R C N

Jul 21, 2019

Amazing course

by Zeeshan L

Aug 24, 2019

Best course

by Oscar S

Jun 24, 2019


by Sandeep D D

Aug 24, 2019


by Franco B

Aug 22, 2019

Course provides the fundamental of machine learning techniques, representing the state of the art of image and text processing; some more examples could help in enforce the meaning and intermediate results in applying

by Juan R

May 11, 2019

It would be great to have more small practical exercises as it always reinforces the theory explained

by Robin J

Jun 14, 2019

Good way to start ML journe

by Kartik G

Oct 29, 2019

Although the course is great from a theoretical point of view, but it has two major flaws. First, it doesn't provide the fundamentals of Machine Learning but instead directly moves to Deep Learning, although building those concepts from ground up. Also, from a practical point of view, this course is really lacking as there is not a single explanation video on any of the coding aspect of Deep Learning and the videos that even exist just ask us to read through the Documentation to learn the practical aspect.

by Sarah G

Sep 01, 2019

Pretty good introduction to Machine Learning!