IOTA – The Potential to Drive Data Science for IoT
DataOpsTools & LanguagesWorkflowData analysis|Open Data Scienceposted by Ajit Jaokar March 3, 2018
I have a close circle of clued-on/tech savvy friends whose views I take seriously. For the last few weeks, one of these friends has been sending me emails extolling the merits of something called IOTA – which calls itself as the next generation Blockchain. At first, I thought of IOTA... Read more
Are data warehouses a thing of the past?
Accelerate AIDataOpsTechnologyTools & LanguagesWorkflowData Science|data warehousing|structured dataposted by Naveen Joshi February 22, 2018
With almost everything around us becoming a source of data, it’s proving to be quite a challenge for traditional data warehouses to support such fast changing and high on volume data. So is data warehouse a thing of the past already? A huge collection of data from various sources... Read more
How To Create Data Products That Are Magical Using Sequence-to-Sequence Models
Data WranglingModelingPlatformsTools & LanguagesWorkflowDeep Learning|Machine Learning|NLPposted by Hamel Husain January 30, 2018
A tutorial on how to summarize text and generate features from Github Issues using deep learning with Keras and TensorFlow. Teaser: Training a model to summarize Github Issues Predictions are in rectangular boxes. The above results are randomly selected elements of a holdout set. Keep reading below, there will be a link to many more... Read more
Word Vectors with Tidy Data Principles
RToolsTools & LanguagesWorkflowtext analyticsposted by Julia Silge January 21, 2018
Last week I saw Chris Moody’s post on the Stitch Fix blog about calculating word vectors from a corpus of text using word counts and matrix factorization, and I was so excited! This blog post illustrates how to implement that approach to find word vector representations in R using tidy data... Read more
Data Science Projects, Tips for successful implementation
DataOpsModelingStatisticsTools & LanguagesWorkflowBusinessposted by Diego Arenas, ODSC January 10, 2018
This is the first post of a series of three articles in which we will discuss tips and guidelines for successful data science implementations. This post goes over the things you should worry about before to write the first line of code. A high level data science project will... Read more
Like I mentioned in my last blog post, I am contributing to a session at userR 2017 this coming July that will focus on discovering and learning about R packages. This is an increasingly important issue for R users as we all decide which of the 10,000+ packages to... Read more
