Recently I’ve started to see a lot of questions regarding to the “mathematics tutorials or supplementary materials for Machine Learning and AI” in the online discussions with the emergence of Stanford’s online AI and machine learning courses. As with the internet crowd, I’m going to participate these courses as well and I’ve always found the [...]
Archive for the ‘Engineering’ Category
Online Supplementary Mathematics Materials for Machine Learning and Artificial Intelligence Courses
04 Oct 2011 at 08:48
caglar
Artificial Intelligence, Computer Science, Engineering, Machine Learning, Mathematics, Web
Bitwise Operators and Binary Tricks for System Programming
Bitwise operators in most of the programming languages are common and inherited from the C (e.g.: &, |, ^, >>, …). These operations are critical in the low-level programming (for instance for writing drivers). In the beginning of this post I’ll just briefly pass over them and present some tricks using them. As a programming [...]
Importance Sampling
19 Jan 2011 at 16:24
caglar
Artificial Intelligence, Computer Science, Engineering, Machine Learning, Mathematics, Programming, science, statistics
Importance sampling is probably one of the easiest sampling algorithm and one of the most fundamental one as well. The main purpose of it is to estimate the properties of a particular distribution, while only having samples generated from a different distribution rather than the distribution of interest. Depending on the application, the term may [...]
Scalability Tips for Building Fast Applications
Optimising code performance is known to be the black art and don’t worry about optimisation until you really need it. Hence don’t forget that, “premature optimisation is the root of evil”. Here are some useful points that you should consider while writing your code: You can really increase the speed of hashing by using fast [...]
Advices to a Beginning Graduate Student
Manuel Blum, a computer scientist in CMU has given a great talk about advices to phd students. There are very nice advices in this talk and they are not only for graduate students but as well as people who like doing research can benefit it. The original source of this article is this talk, I [...]
Should implementing ML algorithms banned for Production Systems?
19 Dec 2010 at 17:51
caglar
Artificial Intelligence, Computer Science, Engineering, Machine Learning, Softwares
Nowadays everybody is talking about the how machine-learning algorithms can be useful your business, but now I’ll discuss here how it can harm your business . As a design principle(best practice), for the sake of security-preservation and efficiency in cryptographic systems, implementation of cryptographic algorithms isn’t recommended for production systems when there is already [...]
Perl Poetry
Yeah again I didn’t bother writing a blog-post myself and thereof I’m putting here an interesting fragment from Larry Wall’s big Camel (see: judgin’ a book by its cover) book. The forgery in the attendant sidebar appeared on Usenet on April Fool’s Day, 1990. It is presented here without comment, merely to show how disgusting [...]
A Few Interesting Articles from LWN
07 Dec 2010 at 10:07
caglar
Engineering, Linux, Programming, Software Engineering, Softwares, system administration, Systems
Neil Brown has written very nice and helpful series of articles about the design patterns used in linux kernel: Linux Kernel Design Patterns Part 1 Linux Kernel Design Patterns Part 2 Linux Kernel Design Patterns Part 3 But recently he has written a great analysis and criticism on the design of UNIX: Ghosts of Unix [...]
Measure Kolmogorov Complexity of a file with the Lazy Man’s technique in *nix
06 Dec 2010 at 20:51
caglar
Artificial Intelligence, complexity, Computer Science, Engineering, Linux, Systems, Web
With the gnu ent command you get the entropy of a file in an easy way. For example: 1 2 3 4 5 6 7 8 9 10 11 12 13 caglar@caglar-desktop:/tmp$ cat /dev/urandom | base64 | head -c 1200 > rand.txt caglar@caglar-desktop:/tmp$ ent rand.txt Entropy = 5.982286 bits per byte. Optimum compression would [...]
Recent Comments