References
Here are some helpful resources and references mentioned throughout this portfolio.
Data Science & Analysis
Machine Learning
- Scikit-learn Documentation
- Machine Learning Crash Course by Google
- Introduction to Statistical Learning
- Pattern Recognition and Machine Learning by Christopher Bishop
Deep Learning
- Deep Learning Book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- TensorFlow Documentation
- Keras Documentation
- PyTorch Documentation
- CS231n: Convolutional Neural Networks for Visual Recognition
- Deep Learning Specialization by Andrew Ng
Natural Language Processing
Computer Vision
- OpenCV Documentation
- Computer Vision: Algorithms and Applications by Richard Szeliski
- PIL/Pillow Documentation