- On Monday, June 4, 2018
- By Read More
Instead, they rely on Python libraries to do the work for them, and end up not truly grasping what's happening inside the black box.
I advocate writing ML algorithms in other languages because the practice of writing ML algorithms from scratch helps you learn them fundamentally, and it also helps you unify your backend by not requiring a Python script to do processing in the middle of a PHP application.
The advantage of NumPy or Matlab is not in their ability to do matrix operations, it's in the fact that they use optimized algorithms to do so -- things you wouldn't be able to do yourself unless you dedicate yourself to learning computational linear algebra.
- On Monday, September 23, 2019
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Collaborative Filtering | Stanford University
Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, ...
TensorFlow in 5 Minutes (tutorial)
This video is all about building a handwritten digit image classifier in Python in under 40 lines of code (not including spaces and comments). We'll use the ...