This version of the course has ended. To join the latest version (materials are available now; and the first assignment will be due November 3rd), please sign up at http://ml-class.org.

Mon 14 Oct 2013 5:01 PM CEST

As a student in a previous session of my Coursera course on Machine Learning, I thought you might be interested that it will run again starting today, at http://ml-class.org.

This will be a slightly revised and updated version of the same course. You're welcome to sign up again if you didn't complete it last time, and I will be using largely the same materials. Please also let your friends and colleagues who might benefit from a Machine Learning class know, perhaps by forwarding this email to them. I hope to help you (and your friends) become experts in machine learning.

By the time you finish this class, you'll know how to apply the most advanced machine learning algorithms to such problems as anti-spam, image recognition, clustering, building recommender systems, and many other problems. You'll also know how to select the right algorithm for the right job, as well as become expert at "debugging" and figuring out how to improve a learning algorithm's performance. You’ll come away an expert in machine learning, and will have a deep understanding of how to powerfully use it to solve problems and build a myriad of applications.

To give you and your friends more time to get started, the first assignment deadline for the course will be November 3rd, but the first two weeks of lecture and assignment materials are available now. Thus, your friends can sign up anytime over the next two weeks, and still have ample time to complete assignment 1. You can sign up for the current session at http://ml-class.org.

In a few weeks, we will also announce a one-time pilot program which may help some students do well in the course---stay tuned!

I hope that you’ll consider joining us if you’d like to take the course again or review the materials. Please also let your friends know about the class by forwarding this email to them. Rather than going to the old session (via the button below this email), please to to http://ml-class.org to sign up for the new session.

This machine learning class is the class that started Coursera. I’m really excited to be teaching it again, and hope to see you in class!

Andrew Ng

Mon 14 Oct 2013 5:00 PM CEST

Hi everyone,

Because of the number of people affected by Hurricane Sandy, we'll be extending the Nov 5th deadlines by one week, to Nov 12th. We'll also retro-actively extend the October 29th deadline to the same date, thus giving those of you affected more time to resubmit. (The deadlines on the website haven't been updated yet, but I'll make sure the final score calculation takes these extensions into account.)

To everyone affected by the hurricane: I hope you and your families are safe, and that your region enjoys a speedy recovery.

Andrew

Sun 4 Nov 2012 12:00 AM CET

Dear Class,

Because of a GoDaddy.com DNS outage earlier today, the Coursera site was inaccessible for a few hours. I'm very sorry that many of you were unable to access the site. I know also that quite a few of you who had been planning to finish up the homework were worried about getting it submitted on time, and must have been frustrated by the outage, and I apologize for that also.

Given the outage, and to make sure that you can get your homework submitted, we've extended by two days the deadline for the homework for the Week 2 content, to Wednesday September 12th (11.59pm, US PDT). Coursera has also migrated its DNS service off GoDaddy to a different provider, so that a similar outage won't occur again.

Thanks again for all your hard work, and for sticking with the class. And a big congrats also to all of you who had managed to submit the homework by Monday despite the outage.

Andrew

Tue 11 Sep 2012 9:11 AM CEST

Hi all,

About 58,000 of you had signed up for this offering of the machine learning class. I'm thrilled that there're so many of you still excited to learn this topic!

I also hope you're enjoying learning about machine learning and linear regression. As a friendly reminder, the homeworks for the Week 2 content (Review Questions + First Programming Exercise) are due tomorrow Monday September 10th. Doing the programming exercise will help you make sure that you're understanding the material deeply, and that you're able to apply these techniques to new problems yourself.

Please try to submit the homework on time, and best of luck!

Andrew

Mon 10 Sep 2012 7:30 AM CEST