Machine Learning Winter Sessions Dec 22 - Feb 23

• Announcements

  • Assignment 2 due on 20/12/2022 - Submit two pdfs
    1. One named metaphors_<chapter_number>_<yourname>.pdf - Describe the chapter here
    2. Other named lecture2_<chapter_number>_<yourname>.pdf - Briefly discuss what we discussed on Lecture 2 using ALL markdowns mentioned in the last slide of Lecture 2.
  • Assignment 3 due on 23/12/2022
    1. Get the 4 channels' histogram tables for the 4x4x4 matrix mentioned in the last slide of Lecture 4.
  • Assignment 4 due on 29/12/2022
    1. Check the last slide in Lecture 6 on 22nd Dec, 2022.
  
  

• Forms

  • Class survey Form : link
  • Timings survey Form : link
  
  

  Groups

  • Google group : link
  • Discord Server : link
  
  

  Textbooks and References

  • Pattern Recognition and Machine Learning - Christpher Bishop
  • Deep Learning - Ian Goodfellow : Book link
  • MIT OCW lectures on Matrix theory by Prof. Gilbert Strang : link
  • MIT OCW lectures on Matrix Methods In Data Analysis, Signal Processing, And Machine Learning by Prof. Gilbert Strang : link
  • Python tutorials and book : book link, other resources
  • MIT OCW lectures on Matrix Methods In Data Analysis, Signal Processing, And Machine Learning by Prof. Gilbert Strang : link
  • MLSP lectures by Prof. Sriram Ganapathy : course link
  
  

  Requisites

  • Proper Attendance
  • No Plagiarism
  • Regular Assignments submissions
  
  

  Lectures

  01-12-2022	Intro to Signals and Systems. Resolution. Bit-depth. Digital Image. Histogram. Roadmap of the course.	slides	video
  08-12-2022	Introduction to Programming Languages - Markdown, Python, C, Matlab, Histogram using them.	slides	video
  13-12-2022	C - Variables and custom variables - Arrays, 2D arrays, indexing, Structures	slides	video
  16-12-2022	Defining our approach for Histogram - Flowchart - increment in C	slides	video
  20-12-2022	Conditionals and Loop in C - Introducing terminal - bash commands - GCC - vim	slides	video
  22-12-2022	Conditionals, loops, functions, library, scope, Executing C using terminal - Assignment 4	slides	video
  27-12-2022	Functions, Libraries, Histogram in Python	slides	video
  03-01-2023	Packages, Histogram in Python, conda, pip, environments, kaggle intro, Classification and Regression intro	slides	video1	video2
  05-01-2023	Anaconda, Miniconda, Jupyter, Google Colab, Spyder, Classification and Regression intro, Linear Regression	slides	video
  10-01-2023	Linear system of Equations, Row picture, Column Picture, A=LU, Elementary Row operations	slides	video1	video2
  21-01-2023	Vector Spaces, Linear combination, Linear independence, Basis, Span	slides	video
  31-01-2023	Linear Transform, Matrix Multiplication, Composite	slides	video
  02-02-2023	Change of Basis, Inverse Matrix, Four Fundamental Spaces	slides	video
  07-02-2023	Dot Product, Orthogonal vectors, Orthogonal Subspaces	slides	video
  14-02-2023	Projection matrix for vectors, Column Space, overdetermined and underdetermined matrices, Orthogonal matrix, Orthonormal matrix	slides	video
  21-02-2023	Gram Schmidt Orthogonalization, Eigen Decomposition, PSD	slides	video
  23-02-2023	SVD, Choleskey Decomposition, Rank 1 matrices, Overview of LA	slides	video
  01-03-2023	Random Variables, Bayes Theorem, pdf, pmf, CDF, Gaussian, nth order Moments	slides	video1	video2

  
  

  License

  All content in this page are presented using the License : Creative Commons - BY NC SA