Information Retrieval and Mining Massive Data Sets
- 4
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Brief Introduction
Learn various techniques to build a Google scale Information Retrieval System.Description
The goal is to introduce various techniques required to build an IR System. In this course we will explore various methods to solve big data problem. We will evaluate alternative solutions and trade offs. In the later part of the course we will discuss various data mining algorithms to make sense of massive data sets.
Requirements
- Requirements
- Knowledge of probability and linear algebra.
- Good grasp on graduate level algorithms.
- Experience with a programming language ( C, Python, Java)
Omkar Deshpande
4 Raiting
Learn Data Science Deep Learning, Machine Learning NLP & R
- 4.5
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Learn Data Science, Deep Learning, Machine Learning, Natural Language Processing, R and Python Language with libraries || DATA SCIENCE || What Does a Data Scientist Do?...
Mathematics & Statistics of Machine Learning & Data Science
- 4.2
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Learn Mathematics and Statistics of Machine Learning, Artificial Intelligence, Neural Networks and Deep Learning || DATA SCIENCE || What Does a Data Scientist Do?...
Information Retrieval and Mining Massive Data Sets
- 4
-
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Learn various techniques to build a Google scale Information Retrieval System. The goal is to introduce various techniques required to build an IR System....
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
- 4.3
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Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data!...
