Guide to getting started in Machine Learning
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Guide to getting started in Machine Learning
1–10 of 16 posts
Re: Guide to getting started in Machine Learning
#2I would add:
Programming Collective Intelligence (O'reilly) http://oreilly.com/catalog/9780596529321
http://ianma.wordpress.com/2009/07/19/machine-learning-for-b...
Practical Artificial Intelligence Programming in Java http://www.markwatson.com/opencontent/
Re: Guide to getting started in Machine Learning
#3I would add: Programming Collective Intelligence (O'reilly) http://oreilly.com/catalog/9780596529321 http://ianma.wordpress.com/2009/07/19/machine-learning-for-b... Practical Artificial Intelligence Programming in Java http://www.markwatson.com/opencontent/
"Programming Collective Intelligence" is very short on theory. It's good for getting your feet wet and for getting over your fear of something new and difficult, but otherwise without proper comprehension of the phenomenons involved in those algorithms, you're not going to get very far.
Re: Guide to getting started in Machine Learning
#4I would add: Programming Collective Intelligence (O'reilly) http://oreilly.com/catalog/9780596529321 http://ianma.wordpress.com/2009/07/19/machine-learning-for-b... Practical Artificial Intelligence Programming in Java http://www.markwatson.com/opencontent/
"Programming Collective Intelligence" is very short on theory. It's good for getting your feet wet and for getting over your fear of something new and difficult, but otherwise without proper comprehension of the phenomenons involved in those algorithms, you're not going to get very far.
Exactly. Please refer this thread http://news.ycombinator.com/item?id=208892
Re: Guide to getting started in Machine Learning
#5Nice to see a link to online courses. I've been studying Bishop's book in my spare time.
Re: Guide to getting started in Machine Learning
#6Nice to see a link to online courses. I've been studying Bishop's book in my spare time.
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Re: Guide to getting started in Machine Learning
#7Andrew Ng's course notes are 90% of the way to being a textbook, and are an incredible resource, especially if you're going to watch the lectures.
Re: Guide to getting started in Machine Learning
#8Nice to see a link to online courses. I've been studying Bishop's book in my spare time.
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Undone. I do that all the time. Probably I downvote accidentally more than intentionally. Whatever the reasoning for now allowing us to change our votes is definitely off in this case...
Re: Guide to getting started in Machine Learning
#9Andrew Ng's course notes are 90% of the way to being a textbook, and are an incredible resource, especially if you're going to watch the lectures. http://www.stanford.edu/class/cs229/materials.html
I also recommend Andrew Moore's tutorials on Datamining, which is quite related to ML. Found them on HN a few days ago, printed the slides and started reading them. So now I'm just passing it on :)
Re: Guide to getting started in Machine Learning
#10I would add: Programming Collective Intelligence (O'reilly) http://oreilly.com/catalog/9780596529321 http://ianma.wordpress.com/2009/07/19/machine-learning-for-b... Practical Artificial Intelligence Programming in Java http://www.markwatson.com/opencontent/
"Programming Collective Intelligence" is very short on theory. It's good for getting your feet wet and for getting over your fear of something new and difficult, but otherwise without proper comprehension of the phenomenons involved in those algorithms, you're not going to get very far.
Yes, it is short and basic in theory, but I it is very practical. In my case I learn best trying and applying concepts in practice. That is why I found the book very useful.
Also I accompanied my learning with some other books (i.e. Machine Learning from Tom Mitchell) and academic papers that filled the theory gap.
As a started point to teach the basics of ML and to encourage to go and learn more, I think PCI is very good.