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Predicting Lung Cancer Using Machine Learning Techniques

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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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Imaging of Lung Cancer, An Issue of Radiologic Clinics of North America

This issue gives the general radiologist a solid overview of lung cancer imaging techniques. CT screening for lung cancer is discussed, and;

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Advanced Machine Learning Approaches in Cancer Prognosis

intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range;

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Lung Cancer

radiation therapy. Advanced stage lung cancer is usually treated using targeted therapy. This book provides comprehensive insights into the;

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Lung Cancer

regarding lung cancer prevention and screening are discussed, followed by chapters on diagnostic techniques and pathological evaluation. This leads;

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Lung Cancer

regarding lung cancer prevention and screening are discussed, followed by chapters on diagnostic techniques and pathological evaluation. This leads;

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Lung Cancer

suspected lung cancer, thoracic imaging techniques for non-small cell and small cell lung cancer, pathology of lung cancer, treatment and management;

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Lung Cancer, An Issue of Radiologic Clinics of North America

This issue of Radiologic Clinics of North America focuses on Imaging of Lung Cancer, and is edited by Drs. Jeremy Erasmus and Mylene T;

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Fighting Lung Cancer with Conventional Therapies

Lung cancer, the most common and deadliest malignancy worldwide, is one of the biggest challenges for modern oncology. Although lung cancer;

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Machine Learning for Business

by mastering practical, implementable machine learning techniques and tools. Thanks to the authors' down-to-earth style, you'll easily grok;

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Lung Cancer Screening, An Issue of Thoracic Surgery Clinics

Lung Cancer Screening is reviewed extensively in this important Thoracic Surgery Clinics of North America issue. Articles include: CT;

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F# for Machine Learning

Accord.NET, Weka, and F# * Run machine learning jobs on the Cloud with MBrace * Perform mathematical operations on matrices and vectors using;

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Machine Learning with Spark and Python

Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by;

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TensorFlow 2.0 Quick Start Guide

will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You;

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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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Practical Machine Learning Cookbook

of R is expected. What You Will Learn * Get equipped with a deeper understanding of how to apply machine-learning techniques * Implement;

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AI Techniques for Reliability Prediction for Electronic Components

In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology;

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AI Techniques for Reliability Prediction for Electronic Components

In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology;

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Immunoinformatics of Cancers

Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and;

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Machine Learning and Medical Imaging

undergraduate and graduate students, and clinicians. Demonstrates the application of cutting-edge machine learning techniques to medical;

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MATLAB for Machine Learning

Extract patterns and knowledge from your data in easy way using MATLAB About This Book * Get your first steps into machine learning;

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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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Encyclopedia of Lung Cancer

This encyclopedia presents important research on lung cancer. Some of the topics discussed herein include therapeutic antibodies in non;

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Malware Detection Techniques using Machine Learning Classifiers

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Lung Cancer, An Issue of Clinics in Chest Medicine

Carcinoma of the lung is one of the most prevalent and aggressive types of cancer, and rates of lung cancer are on the rise. This issue;

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Python Machine Learning Cookbook

Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow;

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