Understanding Machine Learning: From Theory to Algorithms (2014)
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Re: Understanding Machine Learning: From Theory to Algorithms (2014)
#2Glad to see another book to learn from for free. But my problem now is that there are so many books each with somewhat different approach and content for the same ML techniques. Not necessarily bad, but I get somewhat confused when trying to apply a method.
EDIT: I guess the focus on the theory might help me.
Re: Understanding Machine Learning: From Theory to Algorithms (2014)
#3great! thanx!
Re: Understanding Machine Learning: From Theory to Algorithms (2014)
#4over 30 chapters and the only reference to graphical models is naive bayes and EM
Re: Understanding Machine Learning: From Theory to Algorithms (2014)
#5It's pretty cool that the book is not only free, but they link to courses that uses it.
If you speak Hebrew you can get two different professors take on how to teach the material in the book, as well as lecture notes from a total of 3 professors. That's pretty neat if there's a concept you are struggling with as a student!
Re: Understanding Machine Learning: From Theory to Algorithms (2014)
#6There's also the freely-accessible book A Course in Machine Learning:
Re: Understanding Machine Learning: From Theory to Algorithms (2014)
#7I feel like the barrier to machine learning for me, as I've seen in many tutorials and books and is an immediate discouragement, is the massive amount of math thrown in your face. Many of us didn't just graduate, need glasses and fall asleep at 8pm on the couch when the kids are in bed... Math is this distant fragment of memory buried under years of everything not Math.
It feels like machine learning is only taught by academia but the majority of the audience is for practical use by the average developer wanting to play with it today.
Re: Understanding Machine Learning: From Theory to Algorithms (2014)
#8I feel like the barrier to machine learning for me, as I've seen in many tutorials and books and is an immediate discouragement, is the massive amount of math thrown in your face. Many of us didn't just graduate, need glasses and fall asleep at 8pm on the couch when the kids are in bed... Math is this distant fragment of memory buried under years of everything not Math. It feels like machine learning is only taught b…
I asked a related question [0] few weeks ago but didn't find a resource that talks about machine learning from real world example perspective.
Re: Understanding Machine Learning: From Theory to Algorithms (2014)
#9Related: Foundations of Data Science: http://www.cs.cornell.edu/jeh/nosolutions90413.pdf
Re: Understanding Machine Learning: From Theory to Algorithms (2014)
#10My question for someone that has an intermediate level of skill in machine learning, what's the best way to dip your toes in? (Udacity, coursera, edx, PDFs, Talking Machines podcast, etc)