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Machine Learning

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Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including Convolutional Neural Networks (CNNs), reinforcement learning, and unsupervised learning focused on clustering. Topics are introduced in ... Læs mere

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Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including Convolutional Neural Networks (CNNs), reinforcement learning, and unsupervised learning focused on clustering. Topics are introduced in
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af James Trevelyan ...

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Computerteknik e-bøger

Machine Learning

Machine Learning Algorithms and Applications in Engineering

Computational Statistical Methodologies and Modeling for Artificial Intelligence

Multiple-Valued Computing in Quantum Molecular Biology

VLSI Design

Artificial Intelligence in Forecasting

Introduction to Machine Learning Algorithms

Cybersecurity, Cybercrimes, and Smart Emerging Technologies

Heritage Building Information Modelling for Implementing UNESCO Procedures

Soft Computing

Designing Interaction and Interfaces for Automated Vehicles

Cognitive Cloud Computing

Equipment Intelligent Operation and Maintenance

Multiple-Base Number System

Integration of Services into Workflow Applications

Artificial Intelligence Techniques in Mathematical Modeling and Optimization

Computational Techniques in Precision Agriculture

Performance Analysis of Queuing and Computer Networks

COVID-19 Public Health Measures

Recent Advances in Science, Engineering & Technology

Scilab : De la théorie à la pratique - I. Les fondamentaux

30-Second Engineering

The Life of an Engineer

La pubblica amministrazione digitale. Appunti per gli operatori della P.A.