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Data Scientist Pocket Guide: Over 600 Concepts, Terminologies, and Processes of Machine Learning and Deep Learning Assembled Together
A pocket guide offering a comprehensive overview of over 600 concepts, terminologies, and processes in the fields of machine learning and deep learning. Published in 2021, it aims to clarify the logic and mechanisms behind these concepts for data scientists, acting as a non-linear reference for both beginners and experienced practitioners. The guide covers a vast array of topics, from fundamental definitions like algorithms and activation functions to advanced techniques such as various neural network architectures, optimization methods, and evaluation metrics. It also provides insights into practical considerations like handling imbalanced datasets, training models faster, and choosing between programming languages like R and Python.
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Published on 6 days, 13 hours ago