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Data Science World

Data Science , Anirudh Kala, Data Scientist, Anirudh, Anirudh Data Science, analytics

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Data Science World | anirudhkala.com Reviews
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Data Science , Anirudh Kala, Data Scientist, Anirudh, Anirudh Data Science, analytics
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2 introduction
3 anirudh kala
4 expertise
5 machine learning
6 statistical modeling
7 artificial intelligence
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Data Science World | anirudhkala.com Reviews

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Data Science , Anirudh Kala, Data Scientist, Anirudh, Anirudh Data Science, analytics

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1

anirudh kala » Data Science World

http://anirudhkala.com/tag/anirudh-kala

24 Feb , 2015. Anirudh Kala is the Cofounder of Celebal Corp. And possess expertise around various Machine Learning techniques and Big Data Management technologies. He has experience around multiple domains ranging across Life Sciences , Finance and Retail. R , Python. Spark ,Cassandra, Kafka, Elastic Search, Tachyon, memsql, Hive , Pig , Mahout, Flume. Open NLP, Stanbol, UIMA, Solr, Lucene, Nutch. 24 Feb , 2015. Principal component analysis (PCA). 19 Feb , 2015. 19 Feb , 2015. ARIMA Time Series Modeling.

2

Introduction » Data Science World

http://anirudhkala.com/category/introduction

24 Feb , 2015. Anirudh Kala is the Cofounder of Celebal Corp. And possess expertise around various Machine Learning techniques and Big Data Management technologies. He has experience around multiple domains ranging across Life Sciences , Finance and Retail. R , Python. Spark ,Cassandra, Kafka, Elastic Search, Tachyon, memsql, Hive , Pig , Mahout, Flume. Open NLP, Stanbol, UIMA, Solr, Lucene, Nutch. 24 Feb , 2015. Principal component analysis (PCA). 19 Feb , 2015. 19 Feb , 2015. ARIMA Time Series Modeling.

3

Deep Learning » Data Science World

http://anirudhkala.com/tag/deep-learning

19 Feb , 2015. Neural networks have been around for a number of decades now and have seen their ups and downs. Recently they’ve proved to be extremely powerful for image recognition problems. Or, rather, a particular type of neural network called a. When you input a data point into neural network, the outputs of the first level of neurons are calculated, then they feed More…. 24 Feb , 2015. Principal component analysis (PCA). 19 Feb , 2015. 19 Feb , 2015. ARIMA Time Series Modeling. 26 Feb , 2015.

4

Moving Averages » Data Science World

http://anirudhkala.com/tag/moving-averages

ARIMA Time Series Modeling. 26 Feb , 2015. Forecasting based on ARIMA (autoregressive integrated moving averages) models, commonly know as the Box–Jenkins approach, comprises following stages:. I) Model identification ii.) Parameter estimation. These stages are repeated until a “suitable” model for the given data has been identified (e.g. for prediction). The following three sections show some facilities that R offers for assisting the three stages in the Box–Jenkins approach. 24 Feb , 2015. 19 Feb , 2015.

5

arima » Data Science World

http://anirudhkala.com/tag/arima

ARIMA Time Series Modeling. 26 Feb , 2015. Forecasting based on ARIMA (autoregressive integrated moving averages) models, commonly know as the Box–Jenkins approach, comprises following stages:. I) Model identification ii.) Parameter estimation. These stages are repeated until a “suitable” model for the given data has been identified (e.g. for prediction). The following three sections show some facilities that R offers for assisting the three stages in the Box–Jenkins approach. 24 Feb , 2015. 19 Feb , 2015.

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Data Science World

Sorry, no posts matched your criteria. 24 Feb , 2015. Anirudh Kala is a Data Scientist With Appirio – Topcoder. With expertise around various Machine Learning and Statistical Modeling Techniques . He has experiencearound multiple domains ranging across Life Sciences , Finance and Retail. R , Python. Hadoop , Spark , Hive , Pig , Mahout, Flume, Kafka. Open NLP, Stanbol, UIMA, Solr, Lucene, Nutch. ARIMA Time Series Modeling. 26 Feb , 2015. I) Model identification ii.) Parameter estimation. 19 Feb , 2015.

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