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Machine Learning

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3 Reviews
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Course Highlights

  • 18 Modules & Sub-modules

  • 56 Hours of E-learning content, tests etc

  • Flexible deadlines

  • 100% Online Course

  • Rich Learning Content

  • Offered by Stanford

Mode of learning: Online self study

Course Overview

What are the course deliverables ?
  • Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself

  • Learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

More about this course
  • This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include:

  • (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.

I am Interested

Reviews

Average Rating

4

Based on 3 Ratings

Nisarg Ramdas Hande

Excellent starting course on machine learning. Beats any of the so called programming books on ML. Highly recommend this as a starting point for anyone wishing to be a ML programmer or data scientist. Thanks to Andrew Ng

Mayur Pare

Benefitted a lot

Good,So far, this class has been really great. The students are smart, engaged, and (like any good class) they are teaching me, too.

Rizwana

Good Learning Experience

The course is beneficial and informative. The course is needed to upskill yourself and be updated in the industry.
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