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Automatic Tuning of Compilers Using Machine Learning

This book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space;

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PID Control System Design and Automatic Tuning using MATLAB/Simulink

scheduled control. PID Control System Design and Automatic Tuning using MATLAB/Simulink introduces PID control system structures, sensitivity;

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Hybrid Machine Intelligence for Medical Image Analysis

features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer;

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Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions

Automated Machine Learning using Azure Explore aspects such as algorithm selection, auto featurization, and hyperparameter tuning Understand how;

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R Deep Learning Essentials

Build automatic classification and prediction models using unsupervised learning About This Book * Harness the ability to build;

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Mastering Azure Machine Learning

Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;

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Learn PySpark

. You'll then see how to schedule different spark jobs using Airflow with PySpark and book examine tuning machine and deep learning models for real;

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Learn PySpark

platforms. You'll then see how to schedule different spark jobs using Airflow with PySpark and book examine tuning machine and deep learning;

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Automated Machine Learning

explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop;

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Introduction to Machine Learning with Python

Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy;

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Grammar Based Feature Generation for Time Series Prediction

This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation;

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Mastering Machine Learning with Python in Six Steps

learning development and frameworks Assess model diagnosis and tuning in machine learning Examine text mining, natuarl language processing (NLP;

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Mastering Machine Learning with Python in Six Steps

frameworks Assess model diagnosis and tuning in machine learning Examine text mining, natuarl language processing (NLP), and recommender systems;

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Hands-On Machine Learning with C++

Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML;

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HandsOn Unsupervised Learning Using Python

near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready;

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Tuning Metaheuristics

. This book shows that the problem of tuning a me- heuristic can be described and solved as a machine learning problem. Using the machine;

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Hands-On Machine Learning with R

apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to;

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Hands-On Automated Machine Learning

of the different aspects of automated Machine Learning, and you'll be able to incorporate automation tasks using practical datasets. You can;

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Machine Learning Fundamentals

supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit;

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Fundamentals of Multicore Software Development

, automatic performance tuning, transactional memory, and emerging applications. As computing power increasingly comes from parallelism, software;

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Fundamentals of Multicore Software Development

, automatic performance tuning, transactional memory, and emerging applications. As computing power increasingly comes from parallelism, software;

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PID Controller Tuning Using the Magnitude Optimum Criterion

automatic tuning method is demonstrated using several examples for benchmark process models recurring frequently in many industry applications.;

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Machine Learning with Python

Machine Learning What are the Python Keywords? How to make predictions using;

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Automatic Assessment of Parkinsonian Speech

research on the automatic assessment of parkinsonian speech from the point of view of such disciplines as machine learning, speech technology;

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Python Machine Learning

neural networks, GANs, and other models Discover best practices for evaluating and tuning models Predict continuous target outcomes using;

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Hands-On Deep Learning with R

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and;

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The Application of Artificial Intelligence

This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software;

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Einde inhoud

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