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A New Modeling for Knowledge Transfer in Machine Learning

Multi-Task Learning (MTL), as opposed to Single Task Learning (STL), has become a hot topic in machine learning research. MTL has shown;

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Transfer Learning

in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.;

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Machine Learning for Asset Management

This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the;

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Probabilistic Machine Learning

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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Machine Learning Modeling for IoUT Networks

This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments;

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Machine Learning and Systems Engineering

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October;

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised;

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Machine Learning and Knowledge Discovery in Databases. Research Track

: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised;

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Machine Learning with Core ML

of transfer learning and neural networks. Having got to grips with the basics, you'll discover a series of seven examples, each providing a new use;

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Human Behavior Learning and Transfer

Bridging the gap between human-computer engineering and control engineering, Human Behavior Learning and Transfer delineates how to;

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Future Skills in Education

transfer for sustainable and competence-oriented employability to the future workforce. Through an innovative approach using machine-learning;

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Supervised Machine Learning with Python

Teach your machine to think for itself! Key Features Delve into supervised learning and grasp how a machine learns from data Implement;

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Transfer Learning through Embedding Spaces

is a next step for making AI more similar to natural intelligence. Transfer learning has been suggested a remedy to relax the need for data;

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Implementations and Applications of Machine Learning

GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are;

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Implementations and Applications of Machine Learning

GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are;

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Training Systems Using Python Statistical Modeling

it to become the choice of tool for many data scientists and machine learning developers today. Its rich libraries are widely used for data;

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Machine Learning for Time Series Forecasting with Python

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for;

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Practical Machine Learning in JavaScript

Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine;

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A Primer on Machine Learning Applications in Civil Engineering

. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil;

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TensorFlow 2.0 Quick Start Guide

transfer for image hybridization using a neural network Code a recurrent neural network in TensorFlow to perform text-style generation Who this;

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Machine Learning for Vision-Based Motion Analysis: Theory and Techniques

the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting;

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Conjugate Problems in Convective Heat Transfer

extensively in a wide range of applications. Conjugate Problems in Convective Heat Transfer addresses the latest theory, methods, and applications;

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Conjugate Problems in Convective Heat Transfer

extensively in a wide range of applications. Conjugate Problems in Convective Heat Transfer addresses the latest theory, methods, and applications;

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Evolutionary Approach to Machine Learning and Deep Neural Networks

), and transfer learning for differential evolution (TRADE), another machine learning approach for extending differential evolution. The;

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Evolutionary Approach to Machine Learning and Deep Neural Networks

), and transfer learning for differential evolution (TRADE), another machine learning approach for extending differential evolution. The last;

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Human-in-the-Loop Machine Learning

. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation;

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