Machine Learning for Computer Scientists and Data Analysts: From an Applied PerspectiveКНИГИ » ПРОГРАММИНГ
Название: Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective Автор: Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao Издательство: Springer Год: 2022 Формат: True PDF Страниц: 465 Размер: 12,1 Mb Язык: English
This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.
Physics of Data Science and Machine Learning Название: Physics of Data Science and Machine Learning Автор: Ijaz A. Rauf Издательство: CRC Press Год: 2022 Страниц: 211 Язык: английский Формат:...
MACHINE LEARNING with NEURAL NETWORKS using MATLAB Название: MACHINE LEARNING with NEURAL NETWORKS using MATLAB Автор: J. Smith Издательство: CreateSpace Independent Publishing Год: 2017 Страниц: 382...
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Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective 
