How to check hypotheses with bootstrap and Apache Spark?
Guest blog post by Dmitry Petrov. Originally posted here. There is a feature I really like in Apache Spark. Spark can process data out of memory in my local machine e...
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The Case Against a Quick Win Approach to Predictive Analytics Projects
By Greta Roberts When beginning a new predictive analytics project, the client often mentions the importance of a “quick win”. It makes sense to think about deliver...
Machine Learning is all about Common Sense.
Machines are invented to solve problems and make life easier. It is widely accepted that common sense is a sense which is not so common 🙂 So, don’t you think t...
Introduction to Outlier Detection Methods
This post is a summary of 3 different posts about outlier detection methods. One of the challenges in data analysis in general and predictive modeling in particular is ...
Year in Review: Deep Learning Breakthoughts 2016
Today we are featuring the year’s most interesting breakthroughs in deep learning that we have been fawning over at Grakn Labs. (For those of you who are interested in ...
Stacking models for improved predictions: A case study for housing prices
This blog was originally published on my website. If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predi...
Casting in java | Java Type Cast Tutorial for beginners
Casting in java: introduction This tutorial deals with casting in java . If you don’t know how to use java variables, please check our corresponding java variables t...
Machine Learning Introduction
We live in the era of data. Its almost inevitable now that we need to delegate our knowledge and understanding of the world to computers who can model this behaviour on a...
Machine Learning : Few rarely shared trade secrets
Some of the rarely shared trade secrets in machine learning: Original post: on linkedin 1. Bootstrap sampling & the magic number 0.63 Even though randomly sampled...
A tale about LDA2vec: when LDA meets word2vec
A few days ago I found out that there had appeared lda2vec (by Chris Moody) – a hybrid algorithm combining best ideas from well-known LDA (Latent Dirichlet Allocation) ...