background preloader

DataCamp: The Easiest Way To Learn R & Data Science

Related:  PythonMachine learningRMachine LearningR

Bayesian Methods for Hackers An intro to Bayesian methods and probabilistic programming from a computation/understanding-first, mathematics-second point of view. Prologue The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. Practical Code Solutions: Rcaller 2.0 - Calling R from Java I have received too many e-mails since i had first submitted the early versions of the RCaller. Some users found it usable so i was planning to develop a newer and enhanced version of this library. Now, i think, it is ready for testing. The 2.0.0 version of the RCaller is downloadable from with both compiled jar file and the source file with the directory structure of NetBeans 7. The use of RCaller is changed after version 1.0 but it is still easy to implement, it does not need extra libraries, it is platform independent and compatible with the recent R versions.

Exploratory Data Analysis Using R Lesson 1: What is EDA? (1 hour) We'll start by learn about what exploratory data analysis (EDA) is and why it is important. You'll meet the amazing instructors for the course and find out about the course structure and final project. Vectorization in R: Why? Here are my notes from a recent talk I gave on vectorization at a Davis R Users’ Group meeting. Thanks to Vince Buffalo, John Myles White, and Hadley Wickham for their input as I was preparing this. Feedback welcome! Beginning R users are often told to “vectorize” their code. Here, I try to explain why vectorization can be advantageous in R by showing how R works under the hood. Now, remember, premature optimization is the root of all evil (Knuth).

How to work with large JSON datasets using Python and Pandas Working with large JSON datasets can be a pain, particularly when they are too large to fit into memory. In cases like this, a combination of command line tools and Python can make for an efficient way to explore and analyze the data. In this post, we’ll look at how to leverage tools like Pandas to explore and map out police activity in Montgomery County, Maryland. We’ll start with a look at the JSON data, then segue into exploration and analysis.

StatLearning-SP Course Info Skip to main content Please enter your email address below, and we will email instructions for setting a new password. Help aRrgh: a newcomer's (angry) guide to R Tim Smith <>, @biotimylated with Kevin Ushey <>, @kevin_ushey R is a shockingly dreadful language for an exceptionally useful data analysis environment. The more you learn about the R language, the worse it will feel. The development environment suffers from literally decades of accretion of stupid hacks from a community containing, to a first-order approximation, zero software engineers.

When is a zero not a zero? > j <- 0 > while (j < 1) j<-j+0.1 > j [1] 1.1 # shouldn't this end with j equal to 1? Certified Python Professional Vskills certification for Python Developers assesses the candidate for developing Python based applications. The certification tests the candidates on various areas in developing Python based software which includes knowledge of installation, usage, syntax and semantics of Python programming language. Knowledge of OO (Object Oriented) programming principles is pre-requisite for certification. Why should one take this certification? This certification is intended for professionals and graduates wanting to excel in their chosen areas.

Neural networks and deep learning The human visual system is one of the wonders of the world. Consider the following sequence of handwritten digits: Most people effortlessly recognize those digits as 504192. That ease is deceptive. In each hemisphere of our brain, humans have a primary visual cortex, also known as V1, containing 140 million neurons, with tens of billions of connections between them.

Related:  Research