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S Guide to Network Programming. MySQL Commands. This is a list of handy MySQL commands that I use time and time again.

MySQL Commands

At the bottom are statements, clauses, and functions you can use in MySQL. Below that are PHP and Perl API functions you can use to interface with MySQL. To use those you will need to build PHP with MySQL functionality. Digital Data Collection course. Another year, another web scraping course.

Digital Data Collection course

Taught through SSRMC at the University of Cambridge. Below are slides from all three sessions. In the course I tried to achieve the following:- Show how to connect R to resources online- Use loops and functions to iteratively access online content- How to work with APIs- How to harvest data manually using Xpath expressions. What's new? - Many more examples and practice tasks- Updated API usage- Some bug fixes (and probably many new bugs introduced) What Consumers Learn Before Deciding to Buy: Representation Learning.

Features form the basis for much of our preference modeling.

What Consumers Learn Before Deciding to Buy: Representation Learning

When asked to explain one's preferences, features are typically accepted as appropriate reasons: this job paid more, that candidate supports tax reform, or it was closer to home. We believe that features must be the drivers since they so easily serve as rationales for past behavior. I’m all about that bootstrap (’bout that bootstrap) As some of my regular readers may know, I'm in the middle of writing a book on introductory data analysis with R.

I’m all about that bootstrap (’bout that bootstrap)

I'm at the point in the writing of the book now where I have to make some hard choices about how I'm going to broach to topic of statistical inference and hypothesis testing. Given the current climate against NHST (the journal Basic and Applied Social Psychology banned it) and my own personal preferences, I wasn't sure just how much to focus on classical hypothesis testing. Hypothesis Testing: Fishing for Trouble. Monday 23 March 2015 - 14:50 Introduction "Can you check if this is significant?

Hypothesis Testing: Fishing for Trouble

" It was a seemingly innocuous question from a dangerous source: a semi data-literate scientist. The kind who believed, deep in his heart, that small p-values were "good" and large p-values were "erroneous". On this day, the man in question had come forth with a large, complex multivariate dataset. "I can, but I shouldn't. " Fishing for Trouble On the surface, the above appears pretty innocent. The problem, of course, is in the looking. The conclusion, naturally, was absurd. The comic serves as a simple argument for the necessity of multiple corrections. In our example, abiding by the scientist's request commits the same error from another angle.

"Can you check if the link between green jelly beans and acne is significant? " Applied Example Let's consider a (slightly) less abstract example. A simulation study Figure 1: points generated using the above equation for the first batch (black) and the second batch (red). G. Machine Learning in R for beginners. Machine learning is a branch in computer science that studies the design of algorithms that can learn.

Machine Learning in R for beginners

Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions, for example. Rankk.org. Login. Given a list of integers, e.g. Casper:Jambalaya Lyrics - LyricWikia - song lyrics, music lyrics. Casper 1 zu der 23 zu der 4Es macht bam-bam an der Tür5 zu der 67 zu der 8Das Biest ist nun wieder erwachtGuck, ich kann es,guck, ich kann esPlötzlich ist alles andersSie campen vor den Hallen und fragen nach AutogrammenKreischen meinen Namen,klappen dabei zusammenHaben Ohnmachtsanfälle,bevor wir angefangen habenKomm' aus 'nem Redneck-OrtLeben Nascar dort sowie Chevy, FordWo der Vetter Bob in 'nemMeth-Labor seine Päckchen kochtAllein mit Tape-Recorder dort in 'nem KinderzimmerGroßgezogen mit Peter Tosh, Dylan und Lynyrd SkynyrdSommer immer, nie WinterSand so rot wie HautZirpende Grillen klingen, Moskitos so groß wie 'ne FaustIch kam so daherStadt des Mardi Gras,Land aller Drum LinerCoo Coo wie Voodoo und Zuflucht heiß wie das Jambalaya Halleluja!

Casper:Jambalaya Lyrics - LyricWikia - song lyrics, music lyrics

Halle-Halleluja! Endlich ist es wieder soweit! Ein paar haben's probiert,versuchten ihn zu kopierenDoch nun ist es endlich mal Zeit für das Original! Become a Programmer, Motherfucker. If you don't know how to code, then you can learn even if you think you can't.

Become a Programmer, Motherfucker

Thousands of people have learned programming from these fine books: Learn Python The Hard Way Learn Ruby The Hard Way Learn Code The Hard Way I'm also working on a whole series of programming education books at learncodethehardway.org. iSICP 1.1 - The Elements of Programming. A powerful programming language is more than just a means for instructing a computer to perform tasks.

iSICP 1.1 - The Elements of Programming

The language also serves as a framework within which we organize our ideas about processes. Thus, when we describe a language, we should pay particular attention to the means that the language provides for combining simple ideas to form more complex ideas. Every powerful language has three mechanisms for accomplishing this: primitive expressions, which represent the simplest entities the language is concerned with, means of combination, by which compound elements are built from simpler ones, and means of abstraction, by which compound elements can be named and manipulated as units.

In programming, we deal with two kinds of elements: procedures and data.

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Funnies. Programming. CS 61A Fall 2011: Structure and Interpretation of Computer Programs. *UNIX. Hacker News. Web. Writing. Open Source.