/Learning-Machine-Learning

A catalogue of notebooks from machine learning textbooks that I have read and or I am reading.

Primary LanguageJupyter NotebookMIT LicenseMIT

Learning Machine Learning

A catalogue of my study notebooks from machine learning textbooks and tutorials that I have read (or used) on the learning and exploration journey of the theory and practice of classical machine learning and deep learning algorithms.

Books/Tutorials

Year of Reading Title
2024 Andrej Karpathy - Neural Networks: Zero to Hero
2023 Aurélien Géron - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
2023 Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili - Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
2022 Lewis Tunstall, Leandro von Werra, Thomas Wolf Natural - Language Processing with Transformers: Building Language Applications with Hugging Face
2021 Magnus Ekman - Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow