Book Club: Stanford Machine Learning via Coursera (Week 10 & 11)

Nov 30, 2017 · , Singapore

We're doing this Machine Learning course from Stanford on Coursera together as a group:

Excerpt from course description:

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.

Topics include:

• Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).

• Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).

• 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 course runs for 11 Weeks – ends in December and requires between 5 and 10 hours of time per week. The course can be taken for free, or for a small fee to Coursera you can have your assignments graded and receive a certificate at the end. Singaporeans are able to claim the course fees with

We will be meeting weekly on Thursdays to discuss both lectures and assignments. At each meetup we'll discuss the previous week's lectures and the current assignment. You should have watched the lectures and at least made a start on the assignment, if not completed it.

Doors open 7pm. Meetup starts 7:30pm and usually runs to 9:00/9:30pm. Bring dinner/snacks and/or eat beforehand. Press 06160🔔 at the intercom downstairs so we can buzz you in.

Note the change of address if you attended previous book club events.

Event organizers
  • SingaporeJS

    We are developers interested in sharing knowledge and growing our skills around JavaScript, Node.js, and the modern web. Chat with us on Gitter.  Give a talk at our next meet up Interested in speaking at our next meet up? Visit our talk.js page to submit a talk proposal. Get in touch with the organizers There are a few ways you can reach out to us if you have questions, suggestions, or feedback. The most effective way is to open an issue on GitHub. • For new job opportunities you'd like to list, open an is

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