Introduction to Machine Learning
This course will give you a basic understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, and so on), as well as show you how these models can be used to solve complex problems in a variety of industries, ranging from medical diagnostics to image recognition to text prediction.
In addition, we've included practice tasks that will allow you to put these data science models to work on real-world data sets. These practice activities will show you how to utilize PyTorch, an open source library used by prominent tech organizations in the machine learning area, to develop machine learning algorithms (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more). Duke University is offering the course. It boasts around 13,000 undergraduate and graduate students, as well as a world-class faculty dedicated to pushing knowledge forward. The institution is dedicated to putting knowledge to good use in the community, both on its North Carolina campus and across the world.
This course offers:
- Flexible deadlines: Reset deadlines in accordance to your schedule.
- Certificate: Earn a Certificate upon completion
- 100% online
- Intermediate Level
- Approx. 15 hours to complete
- Subtitles: English
Coursera Rating: 4.7/5
Enroll here: https://www.coursera.org/learn/machine-learning-duke
