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Coursera - Web Intelligence and Big Data - aretr - 07-24-2019 Coursera - Web Intelligence and Big Data (Indian Institute of Technology Delhi) WEBRip | English | MP4 | 960 x 540 | AVC ~49.7 kbps | 30 fps AAC | 128 Kbps | 44.1 KHz | 2 channels | ~10 hours | 1.18 GB Genre: eLearning Video / Computer Engineering and Technology, Artificial Intelligence 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. 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. General Complete name : 2 - 9 - 1-6-2 Searching Structured Data (625).mp4 Format : MPEG-4 Format profile : Base Media Codec ID : isom (isom/iso2/avc1/mp41) File size : 8.57 MiB Duration : 6 min 25 s Overall bit rate : 186 kb/s Encoded date : UTC 1970-01-01 00:00:00 Tagged date : UTC 1970-01-01 00:00:00 Writing application : Lavf53.29.100 Video ID : 1 Format : AVC Format/Info : Advanced Video Codec Format profile : [email protected] Format settings : CABAC / 4 Ref Frames Format settings, CABAC : Yes Format settings, RefFrames : 4 frames Codec ID : avc1 Codec ID/Info : Advanced Video Coding Duration : 6 min 25 s Bit rate : 49.7 kb/s 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) : 0.003 Stream size : 2.29 MiB (27%) 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 Encoded date : UTC 1970-01-01 00:00:00 Tagged date : UTC 1970-01-01 00:00:00 Audio ID : 2 Format : AAC Format/Info : Advanced Audio Codec Format profile : LC Codec ID : mp4a-40-2 Duration : 6 min 25 s Bit rate mode : Constant Bit rate : 128 kb/s Channel(s) : 2 channels Channel positions : Front: L R Sampling rate : 44.1 kHz Frame rate : 43.066 FPS (1024 SPF) Compression mode : Lossy Stream size : 5.88 MiB (69%) Default : Yes Alternate group : 1 Encoded date : UTC 1970-01-01 00:00:00 Tagged date : UTC 1970-01-01 00:00:00 Screenshots DOWNLOAD Code: http://nitroflare.com/view/C4DBB4BEB0902A2/7tp15.Coursera..Web.Intelligence.and.Big.Data.part1.rar Code: https://rapidgator.net/file/bb4e4cee038295b0f0f9b8795630eed9/7tp15.Coursera..Web.Intelligence.and.Big.Data.part1.rar |