Название: Machine Learning with Python: Advanced Methods and Strategies to Learn Machine Learning with Python Автор: Alexander Cane
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 149
Язык: английский
Формат: pdf, epub
Размер: 13,8 MB
This book focuses on advanced sub-domains of machine learning, such as Class Imbalance strategies, Hidden Markov Models, HMM, Reinforcement Learning, RNN, and LSTM, along with a few more advanced level topics. With its high power and ease of use, we will use the Scikit Machine Learning Library in Python.
Unlike statistics, where models are used to understand data, different modeling in machine learning focuses on developing models that make more accurate predictions. Unlike the broader area of machine learning that can be used with data of any format, Hidden Markov models focus on robotics (e.g., controlling the robots by programming).
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