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

4.7
155 calificaciones
36 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 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)....

Principales revisiones

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.

RB

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.

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26 - 36 de 36 revisiones para Introduction to Machine Learning

por Santosh G

Sep 14, 2019

It is very good contetnt and begin in Machin learning

por Madison S

Sep 19, 2019

Excellent course! Very well organized and explained thoughtfully.

por Veerraju C

Oct 20, 2019

Very good learning

por Marcus V C A

Oct 20, 2019

It's a basic course, but an useful one. It give us the fundamental concepts to dive in the subject.

por Jin T

Nov 13, 2019

Great course! Once you delve into it, you will love the professor's lecture style and learn some great insight into deep learning topics.

por Juan R

May 11, 2019

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

por Robin J

Jun 14, 2019

Good way to start ML journe

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 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

por Sarah G

Sep 01, 2019

Pretty good introduction to Machine Learning!

por 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.