list 9 sequences
assignment Level : Introductive
chat_bubble_outline Language : English
card_giftcard 216 points
Users' reviews
-
starstarstarstarstar

Key information

credit_card Free access
verified_user Free certificate
timer 27 hours in total

About the content

This course is about building 'web-intelligence' applications exploiting big data sources arising social media, mobile devices and sensors, using new big-data platforms based on the 'map-reduce' parallel programming paradigm. In the past, this course has been offered at the Indian Institute of Technology Delhi as well as the Indraprastha Institute of Information Technology Delhi.

more_horiz Read more
more_horiz Read less
dns

Syllabus

Introduction and Overview 
Look: Search, Indexing and Memory
Listen: Streams, Information and Language, Analyzing Sentiment and Intent
Load: Databases and their Evolution, Big data Technology and Trends
Programming: Map-Reduce
Learn: Classification, Clustering, and Mining, Information Extraction
Connect: Reasoning: Logic and its Limits, Dealing with Uncertainty
Programming: Bayesian Inference for Medical Diagnostics
Predict: Forecasting, Neural Models, Deep Learning, and Research Topics
Data Analysis: Regression and Feature Selection
record_voice_over

Instructors

  • Gautam Shroff - Department of Computer Science and Engineering
assistant

Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

You are the designer of this MOOC?
What is your opinion on this resource ?
Content
0/5
Platform
0/5
Animation
0/5