Swix Course


Welcome to Swix Online Course with live Instructor using an interactive cloud desktop environment DaDesktop. Experience remote live training using an interactive, remote desktop led by a human being!


7 hours

$1,990


What is Swix?


Swift Matrix and Machine Learning Library

Apple's Swift is a high level language that's asking for some numerical library to perform computation fast or at the very least easily. This is a bare-bones wrapper for that library.

A way to have iOS run high-level code similar to Python or Matlab is something I've been waiting for, and am incredibly excited to see the results. This will make porting complex signal processing algorithms to C much easier. Porting from Python/MATLAB to C was (and is) a pain in the butt, and this library aims to make the conversion between a Python/Matlab algorithm and a mobile app simple.

In most cases, this library calls [Accelerate][accel] or [OpenCV][opencv]. If you want to speed up some function or add add another feature in those libraries, feel free to file an issue or submit a pull request (preferred!). Currently, this library gives you

  • operators and various functions (sin, etc) that operate on entire arrays

  • helper function (reshape, reverse, delete, repeat, etc)

  • easy initializers for 1D and 2D arrays

  • complex math (dot product, matrix inversion, eigenvalues, etc)

  • machine learning algorithms (SVM, kNN, SVD/PCA, more to come)

  • one dimensional Fourier transforms

  • speed optimization using Accelerate and OpenCV

Content

  • Installation
  • Third-Party Frameworks / Libraries
  • Uses
  • FAQs

 

 

 

 


Would you like to learn Swix?


Simply, click the "Book" button of Swix and proceed to the payment method. Enter your desired schedule of training. You will receive an email confirmation for Swix and a representative / trainer will get in touch with you.


Course Category:

   Machine Learning Training


Course Schedules


Date Time
October 27, 2021 (Wednesday) 09:30 AM - 04:30 PM
November 10, 2021 (Wednesday) 09:30 AM - 04:30 PM
November 24, 2021 (Wednesday) 09:30 AM - 04:30 PM
December 8, 2021 (Wednesday) 09:30 AM - 04:30 PM
December 22, 2021 (Wednesday) 09:30 AM - 04:30 PM
January 5, 2022 (Wednesday) 09:30 AM - 04:30 PM
January 19, 2022 (Wednesday) 09:30 AM - 04:30 PM


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