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Regularization in Deep Learning

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

Deep Reinforcement Learning in Action

Evolutionary Deep Learning

Deep Learning for Robot Perception and Cognition

Data Science, Analytics and Machine Learning with R

Optimization for Data Analysis

Graph-Powered Machine Learning

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

Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Advances in Subsurface Data Analytics

Managing Machine Learning Projects

Experimentation for Engineers

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

Real-World Machine Learning

Machine Learning in Image Steganalysis

Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture

Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling

Digital Image Enhancement and Reconstruction

Internet of Healthcare Things : Machine Learning for Security and Privacy

Gaussian Processes for Machine Learning

Machine Learning : An Applied Mathematics Introduction

Computational Optimal Transport : With Applications to Data Science

Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference

An Introduction to Genetic Algorithms

Automated Machine Learning in Action

Introduction To Genetic Algorithms For Scientists And Engineers, An

Deep Network Design for Medical Image Computing : Principles and Applications

Deep Learning Design Patterns

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