Courses

• Time Series - Kaggle (link)
• Dive into Deep Learning (link)
• CS231n: Convolutional Neural Networks for Visual Recognition (link)
• DEEP LEARNING - LeCun, Canziani (link)
• NLP Zero to One: Full Course (link)
• Introduction to Deep Learning - Raschka (link)
• Hugging Face Course (link)
• Mathematical Tools for Data Science (link)
• UMass CS685 (Advanced NLP) (link)
• Scikit-learn course (link)
• DeepMind x UCL | Deep Learning Lecture Series 2020 (link)
• Linear Algebra - Strang Videos (link)
• Natural Language Processing (link)
• Spring 2019 Full Stack Deep Learning Bootcamp (link)
• CMU Neural Nets for NLP 2019 (link)
• Stanford CS224N: NLP with Deep Learning | Winter 2021 (link)
• opensap (link)
• openhpi (link)
• In-Memory Data Management (link)
• CS224n: Natural Language Processing with Deep Learning - Manning (link)
• CMU: Neural Networks for NLP - Neubig (link)
• Deep Learning for Text and Sequences Goldberg (link)
• Intro to Deep Learning with PyTorch - Udacity (link)
• Course - EE-559 – Deep Learning (Spring 2019) (link)
• Time Series video course (link)
• Embeddings video course (link)

Books

• Principles of Distributed Database Systems (link)
• Mathematics for Machine Learning (link)
• The Mechanics of Machine Learning (link)
• Patterns, Predictions, and Actions (link)
• fastbook (link)
• Speech and Language Processing (link)
• Data Analytics - A Small Data Approach (link)
• Interpretable Machine Learning (link)
• Elements of Data Science (link)
• An Introduction to Statistical Learning (link)
• Pattern Recognition and Machine Learning (link)
• Probabilistic Machine Learning: An Introduction (link)
• Think Bayes 2 (link)