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Machine Learning : A First Course for Engineers and Scientists

Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Learning

Gaussian Processes for Machine Learning

Optimization for Data Analysis

Machine Learning with Neural Networks : An Introduction for Scientists and Engineers

Quantum Computing and Artificial Intelligence : Training Machine and Deep Learning Algorithms on Quantum Computers

Internet of Healthcare Things : Machine Learning for Security and Privacy

Machine Learning in Image Steganalysis

Managing Machine Learning Projects

Quantum Machine Learning

Experimentation for Engineers

Introduction to Machine Learning with Applications in Information Security

Introduction to Graph Signal Processing

Bandit Algorithms

Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control

Computational Methods for Deep Learning : Theoretic, Practice and Applications

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