Krafty Internet Marketing Forum
Coursera - Coding the Matrix Linear Algebra through Computer Science Applications - Printable Version

+- Krafty Internet Marketing Forum (https://kraftymarketingprofits.com/internetmarketingforum)
+-- Forum: Internet Marketing Tips, Tricks, Courses & Bots! (https://kraftymarketingprofits.com/internetmarketingforum/Forum-internet-marketing-tips-tricks-courses-bots--50)
+--- Forum: Internet Marketing Special Downloads! (https://kraftymarketingprofits.com/internetmarketingforum/Forum-internet-marketing-special-downloads--53)
+--- Thread: Coursera - Coding the Matrix Linear Algebra through Computer Science Applications (/Thread-coursera-coding-the-matrix-linear-algebra-through-computer-science-applications--28269)

Coursera - Coding the Matrix Linear Algebra through Computer Science Applications - aretr - 08-05-2019

[Image: 1907301751130116.jpg]

Coursera - Coding the Matrix: Linear Algebra through Computer Science Applications
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~210 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~20 hours | 2.77 GB
Genre: eLearning Video / Science, Mathematics, Linear Algebra
When you take a digital photo with your phone or transform the image in Photoshop, when you play a video game or watch a movie with digital effects, when you do a web search or make a phone call, you are using technologies that build upon linear algebra.

Linear algebra provides concepts that are crucial to many areas of computer science, including graphics, image processing, cryptography, machine learning, computer vision, optimization, graph algorithms, quantum computation, computational biology, information retrieval and web search. Linear algebra in turn is built on two basic elements, the matrix and the vector.

In this class, you will learn the concepts and methods of linear algebra, and how to use them to think about problems arising in computer science. You will write small programs in the programming language Python to implement basic matrix and vector functionality and algorithms, and use these to process real-world data to achieve such tasks as: two-dimensional graphics transformations, face morphing, face detection, image transformations such as blurring and edge detection, image perspective removal, classification of tumors as malignant or benign, integer factorization, error-correcting codes, and secret-sharing.

Syllabus
The Function
The Field
The Vector
The Vector Space
The Matrix
The Basis
Dimension
Gaussian Elimination
The Inner Product
Orthogonalization
Taught by Phil Klein

General
Complete name : CCoding the Matrix Linear Algebra through Computer Science Applications 4.2 The Basis Algorithms for finding a set of generators.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 12.3 MiB
Duration : 4 min 58 s
Overall bit rate mode : Variable
Overall bit rate : 345 kb/s
Writing application : Lavf55.1.100

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 : 4 min 58 s
Bit rate : 210 kb/s
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 29.970 (30000/1001) FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.013
Stream size : 7.47 MiB (61%)
Writing library : x264 core 130 r2 c832fe9
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 / lookahead_threads=2 / 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 : mp4a-40-2
Duration : 4 min 58 s
Duration_LastFrame : -9 ms
Bit rate mode : Variable
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 : 4.52 MiB (37%)
Default : Yes
Alternate group : 1

Screenshots

[Image: 1907301751140107.jpg]

[Image: 1907301751150106.jpg]

[Image: 1907301751160103.jpg]
DOWNLOAD

Code:
http://nitroflare.com/view/9315EA101A74EDC/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part01.rar
http://nitroflare.com/view/1DB80AB1BE7C1BE/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part02.rar
http://nitroflare.com/view/ABA18EE6D95B77B/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part03.rar
http://nitroflare.com/view/B1D5FBCA804A13D/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part04.rar
http://nitroflare.com/view/25DC2DB49E5FD6C/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part05.rar
http://nitroflare.com/view/1BBA31B8023565D/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part06.rar
http://nitroflare.com/view/2063047023C07EE/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part07.rar
http://nitroflare.com/view/A663BF989DA38D2/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part08.rar
http://nitroflare.com/view/5D02520FE6DAACC/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part09.rar
http://nitroflare.com/view/B1A00C4E8EAED40/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part10.rar

Code:
https://rapidgator.net/file/54dd3a2ae5df64661d0b7a6e7b634f3a/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part01.rar
https://rapidgator.net/file/767b979135d95421083e65af59b83a8c/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part02.rar
https://rapidgator.net/file/1d02ec105e2578022df1861021b93a92/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part03.rar
https://rapidgator.net/file/341380914c6a96f01cd143b8f073c556/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part04.rar
https://rapidgator.net/file/04a7bffcbfa9ba5ab9ad6a4f3f6305da/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part05.rar
https://rapidgator.net/file/d15e811fa1e4b1a99446af8614ff59bf/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part06.rar
https://rapidgator.net/file/b405d52dff2f79b3ae906485d7d574a7/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part07.rar
https://rapidgator.net/file/9f2e669b58fdc634b1056ae00c408178/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part08.rar
https://rapidgator.net/file/85c15720aa18d2a32bf43df148cfd5e3/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part09.rar
https://rapidgator.net/file/db3335834ddccca814498b59f6c4b767/tf8ej.Coursera..Coding.the.Matrix.Linear.Algebra.through.Computer.Science.Applications.part10.rar