Web Intelligence and Big Data [2013, ENG] torrent

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Web Intelligence and Big Data

Год выпуска: 2013
Производитель: Coursera / Indian Institute of Technology Delhi
Сайт производителя: https://www.coursera.org/course/bigdata
Автор: Gautam Shroff + guests
Продолжительность: 13:33:03
Тип раздаваемого материала: Видеоурок
Язык: Индийский Английский
Описание: Курс об основах машинного обучения и искусственного интеллекта для веб и big data.
[spoiler="About the Course"]
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.
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[spoiler="Course 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
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Технические данные
Формат видео: MP4
Видео: AVC 960x540, 16:9, 30fps, 172Kbps
Аудио: AAC, 44.1 KHz, 128 Kbps, Stereo
[spoiler="Отчёт MediaInfo"]
General
Complete name : 2 - 1 - 1-1 Basic Indexing (722).mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom
File size : 9.08 MiB
Duration : 7mn 22s
Overall bit rate : 172 Kbps
Writing application : Lavf53.29.100

Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : [email protected]
Format settings, CABAC : Yes
Format settings, ReFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 7mn 22s
Bit rate : 35.4 Kbps
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 fps
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.002
Stream size : 1.87 MiB (21%)
Writing library : x264 core 120 r2120 0c7dab9
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x3:0x113 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=1 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=12 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=25 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=28.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00

Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : 40
Duration : 7mn 22s
Bit rate mode : Constant
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 : 67ms
Stream size : 6.76 MiB (74%)
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[spoiler="Скриншоты"]

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