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).
Offered By
Introduction to Machine Learning
Duke UniversityAbout this Course
Skills you will gain
- Natural Language Processing
- Convolutional Neural Network
- Machine Learning
- Python Programming
- pytorch
Offered by
Syllabus - What you will learn from this course
Simple Introduction to Machine Learning
Basics of Model Learning
Image Analysis with Convolutional Neural Networks
Introduction to Natural Language Processing
Reviews
- 5 stars74.90%
- 4 stars20.43%
- 3 stars2.76%
- 2 stars0.66%
- 1 star1.21%
TOP REVIEWS FROM INTRODUCTION TO 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.
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.....
Shivam Tyagi
A very concise and yet beautifully constructed course for introduction to machine learning for absolute beginner having basic knowledge of probability and mathematics.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I purchase the Certificate?
Is financial aid available?
More questions? Visit the Learner Help Center.