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 `_