The Fundamentals of Data Science
Guest blog post by Mic Farris. Mic is a Decision Science & Analytics Leader at CenturyLink. Two of the biggest buzzwords in our industry are “big data” and “d...
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The Fundamentals of Data Science
Guest blog post by Mic Farris. Mic is a Decision Science & Analytics Leader at CenturyLink. Two of the biggest buzzwords in our industry are “big data” and “d...
End to End Deep Learning.
Connecting the dots for a Deep Learning App … Our day to day activities is filled with Emotions and Sentiments. Ever wondered how we can identify these sentiments throu...
Deep Learning Research Review: Natural Language Processing
This article was written by Adit Deshpande. This is the 3rd installment of a new series called Deep Learning Research Review. Introduction to Natural Language Processi...
Chatbots Market Escalates With A Staggering Double Digit CAGR
Market Highlights In this rapidly changing world of technology, chatbots market is projected to show major growth prospects during the forecast period. The growing need t...
HDFS vs. HBase : All you need to know
The sudden increase in the volume of data from the order of gigabytes to zettabytes has created the need for a more organized file system for storage and processing of da...
How to Spot Visualization Lies
This article was written by Nathan Yau. It used to be that we’d see a poorly made graph or a data design goof, laugh it up a bit, and then carry on. At some point thou...
Benefits of having a career in data science
First came an infographic about 12 careers in big data. Here is another interesting one from our guest blogger Chetan Ramesh...
Under the Hood with Reinforcement Learning – Understanding Basic RL Models
Summary: Reinforcement Learning (RL) is likely to be the next big push in artificial intelligence. It’s the core technique for robotics, smart IoT, game play, and m...
Time series classification with Tensorflow
Time-series data arise in many fields including finance, signal processing, speech recognition and medicine. A standard approach to time-series problems usually requires ...