Coursera Machine Learning Course is offered by Stanford University with a rating of 4.9 out of 5. More than 2.2 million students are already enrolled in this course. This online course has over 25K reviews. After doing this course, 40% started a new career and 37% got a tangible career benefit from this course.
You can complete this course 100% online with your flexible schedule. You will need approximately 55 hours to complete the course. It is available in 6 different languages.
Coursera Machine Learning Course with Free Certificate 2019
This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition.
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.
In this Coursera machine learning, Andrew Ng will show you the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
More importantly, you’ll learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.
Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.
(i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
The course will also draw from numerous case studies and applications so that you’ll also learn how to:
- apply learning algorithms to building smart robots (perception, control)
- text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
This Stanford Machine Learning Coursera Course is instructed by Andrew Ng, Co-founder of Coursera and Adjunct Professor of Stanford University.
Coursera machine learning Andrew Ng was formerly the head of Baidu AI Group/Google Brain.
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