https://github.com/millengustavo/ml-books

My notes on some books I read on Machine Learning
https://github.com/millengustavo/ml-books

book ipynb machine-learning python

Last synced: 9 months ago
JSON representation

My notes on some books I read on Machine Learning

• Host: GitHub
• URL: https://github.com/millengustavo/ml-books
• Owner: millengustavo
• Created: 2019-12-24T13:27:51.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-08-29T21:53:55.000Z (almost 4 years ago)
• Last Synced: 2025-04-08T14:52:56.705Z (about 1 year ago)
• Topics: book, ipynb, machine-learning, python
• Size: 1.63 MB
• Stars: 35
• Watchers: 3
• Forks: 14
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# My notes on some books I read on Machine Learning

- Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow - Aurélien Geron [[open notes]](hands-on-ml/notes.md)

- Python Machine Learning - Sebastian Rashcka [[open notes]](python-ml/notes.md)

- The Hundred-Page Machine Learning Book - Andriy Burkov [[open notes]](hundred-page-ml/notes.md)

- Introduction to Machine Learning with Python: A Guide for Data Scientists - Andreas C. Müller and Sarah Guido [[open notes]](intro-ml-python/notes.md)

- Building Machine Learning Powered Applications: Going from Idea to Product - Emmanuel Ameisen [[open notes]](build-ml-app/notes.md)

- Learning Spark: Lightning-Fast Data Analytics - Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee [[open notes]](learning-spark/notes.md)

- An Introduction to Statistical Learning - Gareth M. James, Daniela Witten, Trevor Hastie, Robert Tibshirani [[open notes]](intro-statistical-learning/notes.md)

- Machine Learning Engineering - Andriy Burkov [[open notes]](ml-engineering/notes.md)

- Designing Machine Learning Systems - Chip Huyen [[open notes]](designing-ml-systems/notes.md)

# Applications

## WaveNet

From van den Oord's [paper](https://arxiv.org/abs/1609.03499)

![wavenet_gif](images/wavenet.gif)

### Forecast Example

[Open jupyter notebook [ipynb]](./examples/time-series-LSTM-GRU-WaveNet.ipynb)

![wavenet_loss](images/wavenet_loss.png)

![wavenet_forecast](images/wavenet_forecast.png)