A Compact Real Analysis book for a graduate student, who is short of time. I am a Phd student in Computer Science and I want to focus on Machine Learning, especially on statistical methods. My problem is, I always keep hitting the wall when it comes to studying underlying theories in more detail, since these mostly include Measure Theory, Lebesgue Measures and Lebesgue Integration, due to their probabilistic nature.
My problem is, I was mostly educated as a "coder" (Bs and Msc in Computer Science as well), not as a mathematician. Unfortunately I am still relying on my sloppy background which I obtained in the superficial Calculus courses I had taken years ago. Clearly, I am in need of building at least a working knowledge about Real Analysis, which covers topics like Lebesgue Theory, Multivariable Calculus, rigorous definitions of limits, derivation, integration etc. Since I am little bit late to study all of these, I am not able to spend my little available time with books having hundreds and hundreds of pages, it wouldn't be possible.
So, I am in need of an advice on a good and brief (as possible)  Real Analysis  book, which has the beginners as its target audience, as possible, so I can study it chapter by chapter from start to finish and can build myself a working knowledge of Lebesgue Integration, Measure Theory,etc. I read somewhere that Rudin's book is good but is too much detailed. By the way, I am also open to any advice on how to study Real Analysis in an efficient way, by myself.
Thanks in advance.
 A: I'm afraid Real Analysis just isn't a "beginner" topic--unless you define "beginner" as someone who has completed advanced calculus. You need more background than the superficial introductory calculus courses, particularly if multi-variable calculus is a problem for you.
If you've completed Calculus 1-3 at most universities (including multi-variable calculus), you can get a taste of measure theory at the very end of Rudin, Principles of Mathematical Analysis (known as baby Rudin). If you've worked through that book cover to cover, you can get a solid understanding of measure theory with just part 1 of Royden and Fitzpatrick, Real Analysis.
There are no shortcuts if you want to have a solid understanding of the material. That's just the sequence. Otherwise, I'd say use the same books, but just skim and "believe" each theorem, but at least try to understand what each theorem is saying. If the highest level math that you've taken is intro calculus, I have my doubts that baby Rudin will be accessible, but that is at least theoretically possible.
