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）
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
- 5 stars74.65%
- 4 stars20.71%
- 3 stars2.70%
- 2 stars0.65%
- 1 star1.27%
INTRODUCTION TO MACHINE LEARNING からの人気レビュー
The tutors' instruction are very clear and make it easy to understand for people who has little background. In addition, the examples are useful and applicable in this lesson!
Thank you so much to all the instructors there, for teaching the actual Machine Learning 😃😃 I have learned lot of things from this course and it will surely help in my future,😃🤝
very helpful course and all teachers are very expert and their teaching method is also simple but very helpful. I'm happy to take this course. Thanks.....\n\nShivam Tyagi
It's really an amazing field to learn new things and from institute is like Amazing to me I've learnt more ...it's not at all boring and we'll will be excited for future experience with you 💯