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Sunshine Wound
Machine and Deep Learning in Oncology, Medical Physics and Radiology
This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, …
Python Machine Learning: A Technical Approach to Python Machine Learning for Beginners
Python machine learning: a guide for beginners This book contains: Machine learning: a guide for beginners Python: A Complete Step By Step Beginners Guide To Programming With …
Data Analytics and Machine Learning for Prognostics and Reasoning
Callie's Choice
Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Learning
Volume 2 applies the linear algebra concepts presented in Volume 1 to optimization problems which frequently occur throughout machine learning. This book blends theory with …
Wenn der Plan ist, nie wieder arbeiten zu mussen, und niemand sagt, wie hart der Weg dorthin ist
Was passiert eigentlich, wenn man beschliet, mit 40 in Rente zu gehen - und warum fuhlt sich das manchmal an wie ein Extremsport zwischen radikalem Sparen, standigem Rechnen und …
Machine Learning for Time-Series with Python
Get better insights from time-series data and become proficient in model performance analysisKey FeaturesExplore popular and modern machine learning methods including the latest …
Speculators and Patriots
First Published in 1986. This volume includes a collection of seven essays which are biographical in treatment, examining trends or incidents in the careers of individual …
Book of Sonshine Poetry for the Heart That Loves God
The Book of SonShine series is a series of books that shines the Light of Jesus Christ in every volume. Some books in the series are for children, some for families, and others for …
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application …