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Posts Tagged "data science"

Interview with Lovekesh Vig, Senior Scientist, TCS Research

Lovekesh Vig was first exposed to Machine Learning by his advisor Douglas Fischer during his Ph.D. at Vanderbilt University,  He was a very accomplished Machine Learning scientist and he taught him how to think from the models point of view. Another faculty who had a big impact on Lokesh was David Noelle who specialized in computational […]

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Anomaly Detection Using Machine Learning In Industrial IoT: Webinar Recording

     -     Mar 17th, 2018   -     Data Analytics, Webinars   -     0 Comments   -    , , , ,

Abirami R., a Data Scientist at Flutura and a budding game changer in the Data  Science fraternity, led an interactive webinar on the concept of anomaly detection using machine learning in Industrial IoT. Key Takeaways post webinar: To identify anomalies in any process or data, we first need to identify what is normal or acceptable. […]

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K Nearest Neighbors and its Application in Python

     -     Mar 13th, 2018   -     Data Analytics   -     0 Comments   -    , , , ,

K Nearest Neighbors algorithm The K Nearest Neighbors algorithm (KNN) is an elementary but important machine learning algorithm. KNN can be used for both classification and regression predictive problems. The reason for the popularity of K Nearest Neighbors can be attributed to its easy interpretation and low calculation time. Suppose we have a set of […]

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Interview with Vijay Srinivas Agneeswaran, Senior Director of Technology, SapientRazorfish

Vijay Srinivas Agneeswaran started writing software to parallelize and distribute a scientific job across a cluster of nodes in the classical cluster/grid/peer-to-peer computing mode during his doctoral work at the IIT Madras. Vijay’s doctoral thesis turned out to be precursoror to the Cassandra kind of large scale fault tolerant distributed data stores – it combined […]

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Interview with Ravi Vijayaraghavan, Vice President and Head – Analytics and Decision Sciences,

After completing his undergraduate in Engineering, Ravi Vijayaraghavan went on to do his PhD. His PhD thesis was, in the then (1990s) emerging area of computational modelling and optimization. This is where Ravi first developed skills in Numerical/Mathematical Modelling, Statistics, Optimization, Non-linear Systems and emerging Machine Learning techniques such as neural networks. He then joined Ford […]

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Top 10 Python Libraries for Data Science in 2018

I suppose all of us listen to new songs on the web and forget them in the long run. We might at the best remember the genre or the tune when we hear it after a long time. What if you had something that saves your browser history and lets you create a spreadsheet of […]

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Introduction to Data Visualization In Python

     -     Jan 13th, 2018   -     Data Analytics   -     0 Comments   -    , , , , ,

Introduction Data is everywhere and part and parcel of every business or processes functioning a business or in simpler an eternal resource, but very little people realized its importance before this era of the surge towards data-intensive applications.  The biggest reason attributed so far for the delay of coming of this data age where data seems […]

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8 Popular Types of Data Visualizations in Python

Introduction Data Visualization turns data into images that nearly anyone can understand making them invaluable for explaining the significance of digits to people who are more visually oriented ~Jonsen Carmack   Not everytime the numbers will sound meaningful to people working with data. This is where Data Visualization comes in. It is a technique of […]

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Interview with Naresh Mehta, AVP – Data Science & Analytics, Zomato

Started as a consultant with ZS Associates after the dual degree in mechanical engineering from IIT Madras in 2007 – this is where Naresh Mehta‘s journey started more than a decade ago, became an advanced user of SAS & Excel and realized the power of data. Moved to consumer behaviour analytics in 2010 when he […]

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Python for Data Science Cheat Sheet – A Beginners Guide

I am pretty sure whenever you would have tried to teach yourself Data Science, You must have felt completely exhausted and there is nothing wrong in that as Data Science is ever growing field with thousands of packages and hundreds of programming functions out there in the data science world!  But Don’t you worry, don’t […]

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