Showing posts with label Data Analysis. Show all posts
Showing posts with label Data Analysis. Show all posts

26 December 2015

Codeforces Submissions: Dataset for Source Code Analysis

Codeforces Submissions Dataset

I wanted to do some analysis on source code, and I needed a dataset where code snippets are labeled with the programming language they are in. I scraped this data from codeforces.com, which is a website for holding programming contests. In this post, I share this data.

tl;dr Scroll down to get the links.

17 December 2015

Test-Driven Machine Learning

Test-Driven Machine Learning

The book “Test-Driven Machine Learning” by Justin Bozonier, published by Packt Publishing, is in print now. I was a technical reviewer of this book, and in this post you will learn some details about it. The book is available on the publisher’s website as well as on Safari Books Library.

15 October 2015

Mastering Data Analysis with R



The book "Mastering Data Analysis with R" by Gergely Daróczi, published by Packt Publishing, is in print now, and I had a pleasure to be a technical reviewer of this book.

If you're a Data Scientist who's looking to master R, this book is a good choice. It's already available on the publisher's website and on Safari books online.

9 March 2015

Naive Bayes on Apache Flink

In this blog post we are going to implement a Naive Bayes classifier in Apache Flink. We are going to use it for text classification by applying it to the 20 Newsgroup dataset. To understand what is going on, you should be familiar with Java and know what MapReduce is. If you have seen and understood a word count example in any system, you're good to go. If you haven't heard of MapReduce or haven't seen the word count, you may first have a look at our introductory post "Hadoop and MapReduce".

15 January 2015

European Master Programs in Data Analysis

Some time ago, in 2012, I decided that I wanted to continue my education and get a Master's Degree. I wanted to get more involved into data analysis and related things like machine learning or data mining. Secondly, this had to be a program in Europe because I didn't want to travel too far - back then I lived in Poland. And lastly, I wanted to find a program with both tuition waivers and monthly allowances to cover living expenses.

I started actively looking for programs that met these criteria and now I would like to share my experience. In this blog post I list the most interesting programs (to me) and I include only ones that I myself applied to. I will not describe the programs/scholarships in details, but instead will refer to links with information. However I will add some things that I think are important: e.g. the process of applying, interesting details, etc.