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Coursera - Web Intelligence and Big Data (2013)

Posted By: ParRus
Coursera - Web Intelligence and Big Data (2013)

Coursera - Web Intelligence and Big Data (2013)
English | MP4 | 960 x 540 | AVC ~36.4 kbps | 30 fps
AAC | 123 Kbps | 44.1 KHz | 2 channels | Subs: English (srt) | 13:33:03 | 1.37 GB
Genre: eLearning Video / Computer Science: Artificial Intelligence

The past decade has witnessed the successful of application of many AI techniques used at `web-scale’, on what are popularly referred to as big data platforms based on the map-reduce parallel computing paradigm and associated technologies such as distributed file systems, no-SQL databases and stream computing engines. Online advertising, machine translation, natural language understanding, sentiment mining, personalized medicine, and national security are some examples of such AI-based web-intelligence applications that are already in the public eye.
Others, though less apparent, impact the operations of large enterprises from sales and marketing to manufacturing and supply chains. In this course we explore some such applications, the AI/statistical techniques that make them possible, along with parallel implementations using map-reduce and related platforms.

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

also You can watch my other last: Coursera-posts

General
Complete name : Web Intelligence and Big Data 4.1 4-1 Distributed File Systems (1212).mp4
Format : MPEG-4
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File size : 14.7 MiB
Duration : 12mn 12s
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Duration : 12mn 12s
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Codec ID : 40
Duration : 12mn 12s
Bit rate mode : Variable
Bit rate : 123 Kbps
Maximum bit rate : 128 Kbps
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 KHz
Compression mode : Lossy
Delay relative to video : -2ms
Stream size : 10.7 MiB (73%)
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Coursera - Web Intelligence and Big Data (2013)

Coursera - Web Intelligence and Big Data (2013)

Coursera - Web Intelligence and Big Data (2013)

Coursera - Web Intelligence and Big Data (2013)

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Coursera - Web Intelligence and Big Data (2013)