This repo contains slides and code for Aaron Ma's "Machine Learning for Everyone" @ EuroPython 2020.
I highly recommend using the Colab, but in case you want to do it on your local machine, follow the steps below:
# If you are using conda:
# $ conda install pip
# Clone project
$ git clone https://github.com/aaronhma/europython-2020.git aaronhma-europython
$ cd aaronhma-europython
# For CPU users:
$ pip install -r requirements-cpu.txt
# For GPU users:
$ pip install -r requirements-gpu.txtView FAQs
-
CPU: A processor designed to solve computational problems in general
-
GPU: A processor designed to accelerate graphics rendering
-
TPU: A co-processor designed to accelrate deep learning tasks with TensorFlow
Manufacturers:
- CPU: Intel, AMD, Qualcoom, Samsung, HP, Apple, etc.
- GPU: NVIDIA. AMD, Apple, etc.
- TPU: Google
Classification is which objects are recognized and a label is predicted for a given input data. Classification problems are in the supervised learning category, and comes in yes/no forms.
examples:
- Is an email spam?
Data is information that is stored by a computer.