Links & Literature
==================
Supervised Learning
-------------------
.. rubric:: General reviews, textbooks and lectures
- `Goodfellow, Bengio and Courville: Deep Learning `_
- `Yandex DataSchool: MLHEP2017 `_
- *TensorFlow* / Google Developers
- `Google Machine Learning Glossary `_
- `Machine Learning Foundations `_
- `Natural Language Processing (NLP) Zero to Hero `_
- `DeepLearningAI YouTube channel `_
- `Course 1: Neural Networks and Deep Learning `_
- `Course 2: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization `_
- `Course 3: Structuring Machine Learning Projects `_
- `Course 4: Convolutional Neural Networks `_
- `Course 5: Sequence Models `_
- `Heroes of Deep Learning `_
.. rubric:: Topical resources
- Loss functions
- `5 Regression Loss Functions All Machine Learners Should Know `_