Coursera - Machine Learning (University of Washington)
Coursera - Machine Learning (University of Washington)
WEBRip | English | MP4 | 960 x 540 | AVC ~346 kbps | 30.835 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~26 hours | 5.26 GB
Genre: eLearning Video / Data Clustering Algorithms, Machine Learning
WEBRip | English | MP4 | 960 x 540 | AVC ~346 kbps | 30.835 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~26 hours | 5.26 GB
Genre: eLearning Video / Data Clustering Algorithms, Machine Learning
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval.You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
High performance programming is also an important aspect of high performance scientific computing, and so another main theme of the course is the use of basic tools and techniques to improve your efficiency as a computational scientist.
also You can watch my other helpful: Coursera-posts
General
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Complete name : 04_Key_Elements_of_Machine_Learning.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 76.6 MiB
Duration : 22 min 15 s
Overall bit rate : 481 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
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Format : AVC
Format/Info : Advanced Video Codec
Format profile : High@L3.1
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 : 22 min 15 s
Bit rate : 346 kb/s
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Variable
Frame rate : 30.835 FPS
Minimum frame rate : 30.833 FPS
Maximum frame rate : 185.000 FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.022
Stream size : 55.1 MiB (72%)
Writing library : x264 core 120 r2120 0c7dab9
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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 : 22 min 15 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 : 20.4 MiB (27%)
Default : Yes
Alternate group : 1
Encoded date : UTC 1970-01-01 00:00:00
Tagged date : UTC 1970-01-01 00:00:00
Screenshots
Coursera - Machine Learning (University of Washington)
Coursera - Machine Learning (University of Washington)
Coursera - Machine Learning (University of Washington)
Coursera - Machine Learning (University of Washington)
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Coursera - Machine Learning (University of Washington)
