05-03-2017, 03:59 AM
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
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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