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SYLLABUS:-

UNIT-I 

Introduction: Web Scale AI and Big Data, Web Intelligence, Big Data    
Look: Indexing- Index creation, Ranking, Page Rank Searching- Enterprise search, Searching structured data, Object Search, Locality Sensitive Hashing and Memory.

UNIT-II  
Listen: Streams, Information and Language, Analyzing Sentiment and Intent  
Load: Databases and their Evolution, Big data Technology and Trends. 
Programming: Map-Reduce, Map-Reduce applications and its efficiency, Big-Table and HBase 

UNIT-III 
Learn: Classification, Clustering, and Mining, Information Extraction 
Connect: Reasoning: Logic and its Limits, Dealing with Uncertainty.

UNIT-IV 
Predict: Forecasting, Neural Models, Deep Learning, and Research Topics. 
Data Analysis: Regression and Feature Selection
(05-03-2017, 03:59 AM)Dipesh S Wrote: [ -> ]SYLLABUS:-

UNIT-I 

Introduction: Web Scale AI and Big Data, Web Intelligence, Big Data    
Look: Indexing- Index creation, Ranking, Page Rank Searching- Enterprise search, Searching structured data, Object Search, Locality Sensitive Hashing and Memory.

UNIT-II  
Listen: Streams, Information and Language, Analyzing Sentiment and Intent  
Load: Databases and their Evolution, Big data Technology and Trends. 
Programming: Map-Reduce, Map-Reduce applications and its efficiency, Big-Table and HBase 

UNIT-III 
Learn: Classification, Clustering, and Mining, Information Extraction 
Connect: Reasoning: Logic and its Limits, Dealing with Uncertainty.

UNIT-IV 
Predict: Forecasting, Neural Models, Deep Learning, and Research Topics. 
Data Analysis: Regression and Feature Selection

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