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).
- 5 stars74.70%
- 4 stars20.63%
- 3 stars2.75%
- 2 stars0.65%
- 1 star1.25%
來自INTRODUCTION TO MACHINE LEARNING的熱門評論
The course gave a very clear understanding of machine learning from the basics to the key technology. Furthermore, this knowledge is made practical via Lab videos and assignment
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.
This course is very rich in terms of content. The instructors are extremely good. I have learnt a lot. I would recommend this course to others who want to delve into 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.