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).
Introduction to Machine Learningデューク大学（Duke University）
- 5 stars74.65%
- 4 stars20.67%
- 3 stars2.75%
- 2 stars0.63%
- 1 star1.26%
INTRODUCTION TO MACHINE LEARNING からの人気レビュー
A very nice introduction to machine learning. Before this course I always used to think that machine learning is beyond me, but after this I am more confident in machine learning.
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.
I felt that I took the best descition in taking this course, because the professors took this course with atmost clarity and made even the difficult concepts understand easily.
Thank you Professors
Thank you so much! This course is so amazing and more knowledge to know about how important or importance of machine learning.Thank you so much for this course you offer.