I also recommend ISLR http://www-bcf.usc.edu/~gareth/ISL/
Any idea of what material overlaps or which to read first?
Foundations of Data Science [pdf]
11–20 of 23 posts
Re: Foundations of Data Science [pdf]
#12Looks like this book heavily intersects with "Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis" by Mitzenmacher/Upfal [0].
[0] https://books.google.com/books?id=E9UlDwAAQBAJ&pg=PA1&source...
Re: Foundations of Data Science [pdf]
#13[deleted]
Re: Foundations of Data Science [pdf]
#14Ravindran Kannan, one of the authors taught a course of the same name at CSA, IISc. The video lectures of the course are available here: http://drona.csa.iisc.ernet.in/~chiru/datascience/iisclectur...
I'd avoid that site- from our Cisco proxy:
"Based on your organization's access policies, this web site ( http://drona.csa.iisc.ernet.in/~chiru/datascience/iisclectur... ) has been blocked because it has been determined by Web Reputation Filters to be a security threat to your computer or the organization's network. This web site has been associated with malware/spyware."
Re: Foundations of Data Science [pdf]
#15Ravindran Kannan, one of the authors taught a course of the same name at CSA, IISc. The video lectures of the course are available here: http://drona.csa.iisc.ernet.in/~chiru/datascience/iisclectur...
I'd avoid that site- from our Cisco proxy: "Based on your organization's access policies, this web site ( http://drona.csa.iisc.ernet.in/~chiru/datascience/iisclectur... ) has been blocked because it has been determined by Web Reputation Filters to be a security threat to your computer or the organization's network. This web site has been associated with malware/spyware."
Microsoft's Youtube Playlist : https://www.youtube.com/watch?v=WEBUWYxaqLQ&list=PLD7HFcN7LX...
I don't get what is MS doing here.
Re: Foundations of Data Science [pdf]
#16I always thought linear regression was a “foundation” of this field, but there is no discussion of a technique by this name in this book. Is there another name it goes by?
Re: Foundations of Data Science [pdf]
#17I always thought linear regression was a “foundation” of this field, but there is no discussion of a technique by this name in this book. Is there another name it goes by?
No,it's just linear regression. You'll find it discussed in a stats textbook since its relatively old (and as the joke goes, data science is what a statistician calls themselves when they want a pay rise).
That being said, IMO it's one of the most over-applied techniques around, and it gives many non-technical and technical users the illusion that they understand what's going on in the model...
Re: Foundations of Data Science [pdf]
#18I always thought linear regression was a “foundation” of this field, but there is no discussion of a technique by this name in this book. Is there another name it goes by?
Logistic regression is also referred to as a "supervised classification" problem, which this book only addresses in the specialized space of document clustering or image classification. They do also address Support Vector Machines, which is a generalized algorithm for classification. However, there are a wide variety of specific implementations of logistic regressions that require quite a bit more conversation (dummy variables, log-odds ratios, ordinal variables) that are more directly applicable to a general stats background to machine learning itself.
Considering that the authors are all CS professors or researchers and not statisticians, that makes sense to me why they don't view logistic regression as foundational.
Re: Foundations of Data Science [pdf]
#19I always thought linear regression was a “foundation” of this field, but there is no discussion of a technique by this name in this book. Is there another name it goes by?
Logistic regression is also referred to as a "supervised classification" problem, which this book only addresses in the specialized space of document clustering or image classification. They do also address Support Vector Machines, which is a generalized algorithm for classification. However, there are a wide variety of specific implementations of logistic regressions that require quite a bit more conversation (dummy…
I said linear regression, not logistic.
Re: Foundations of Data Science [pdf]
#20Quite dense! Just reading the first paragraph assumes good background knowledge. Wish I could grasp this stuff!