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 LearningDuke University
About this Course
Skills you will gain
- Natural Language Processing
- Convolutional Neural Network
- Machine Learning
- Python Programming
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
- 5 stars74.76%
- 4 stars20.58%
- 3 stars2.73%
- 2 stars0.67%
- 1 star1.23%
TOP REVIEWS FROM INTRODUCTION TO MACHINE LEARNING
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.
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
A nice introduction to the concepts of machine learning. However, the material between weeks lack coherence (some topics between week 2 and week 3 are a bit repetitive).
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.
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