The challenges of word embeddings
In recent times deep learning techniques have become more and more prevalent in NLP tasks; just take a look at the list of accepted papers at this year’s NAACL confer...
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Theano Tensors Explained in a Picture
Lately I’ve been doing some experiences with Theano and Deep Learning. One thing that I really thought could help is to understand the workflow of a Theano algorith...
Adopting Self-Service BI with Tableau – Notes from the field
Part 1. Business scenarios. I have spent many hours planning and executing in-company self-service BI implementation. This enabled me to gain several insights. Now that t...
Impala vs Hive: Difference between Sql on Hadoop components
This article is no longer available. We apologize for the inconvenience. To read more about Impala versus Hive, click here for Impala, and click here for Hive....
Storytelling in Social Media Analytics: Beyond the Bar Chart II
In marketing, everybody talks about telling stories. Stories about audiences. Stories about ad concepts. Stories about brands … and about consumers who use them. Analys...
TensorFlow: Why Google's AI Engine is a Gamechanger
In May 2006, Larry page, one of Google’s co-founders had said “The ultimate search engine would understand everything in the world. It would understand everything tha...
ADAPTIVE Machine Learning
Machine Learning today tends to be “open-loop” – collect tons of data offline, process them in batches and generate insights for eventual action. There is an emergi...
Urban Sound Classification using Neural Network
We all got exposed to different sounds every day. Like, the sound of car horns, siren and music etc. How about teaching computer to classify such sounds automatically int...
Hadoop Security Issues and Best Practices
Originally posted on Analytic Bridge The big data blast has given rise to a host of information technology software and tools and abilities that enable companies to ...
Improving performance of random forests for a particular value of outcome by adding chosen features
Choosing features to improve a performance of a particular algorithm is a difficult question. Currently here is PCA, which is difficult to understand (although it can be ...