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A Companion to Ancient Philosophy

A Companion to Ancient Philosophy provides a comprehensive and current overview of the history of a;...

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A Companion to Ancient Philosophy

A Companion to Ancient Philosophy provides a comprehensive and current overview of the history of an;...

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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement;

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Human and Machine Learning

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement;

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Machine Learning

Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering;

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Elements of ML Programming, ML97 Edition

For sophomore through graduate level courses covering an introduction to the fundamentals of ML programming or as a supplement for;

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Les/werkboek 2 Vmbo/Kgt Massamedia ML

Les/werkboek 2 Vmbo/Kgt Massamedia ML is een boek van A. Baars;

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Adversary-Aware Learning Techniques and Trends in Cybersecurity

This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AIML;

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Machine Learning with Core ML

Leverage the power of Apple's Core ML to create smart iOS apps Key Features Explore the concepts of machine learning and Apple's Core ML;

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Beginning Machine Learning in the Browser

Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an;

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The Definition of Standard Ml

This book presents the official, formal definition of the programming language ML including the rules for grammar and static and dynamic;

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Introduction To Machine Learning In Quantitative Finance, An

In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all;

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Introduction To Machine Learning In Quantitative Finance, An

In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all;

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Practical Java Machine Learning

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and;

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Machine Learning for iOS Developers

Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple;

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Building Machine Learning Powered Applications Going from Idea to Product

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on;

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Machine Learning in Asset Pricing

environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML;

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Machine Learning in Chemistry

Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly;

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Artificial Intelligence for Business

The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond Artificial Intelligence for Business;

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Machine Learning and Artificial Intelligence

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications;

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Machine Learning and Artificial Intelligence

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications;

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Mastering Azure Machine Learning

infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML;

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Cuaderno

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Engineering Dependable and Secure Machine Learning Systems

selected from 16 submissions. The volume presents original research on dependability and quality assurance of ML software systems, adversarial;

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Machine Learning for Computer Scientists and Data Analysts

This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics;

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Avancemos! Level 2

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Workbook Package Level 1

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