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by Pradeep Singh
Fundamentals and Methods of Machine and Deep Learning
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Preface
1 Supervised Machine Learning: Algorithms and Applications
2 Zonotic Diseases Detection Using Ensemble Machine Learning Algorithms
3 Model Evaluation
4 Analysis of M-SEIR and LSTM Models for the Prediction of COVID-19 Using RMSLE
5 The Significance of Feature Selection Techniques in Machine Learning
6 Use of Machine Learning and Deep Learning in Healthcare—A Review on Disease Prediction System
7 Detection of Diabetic Retinopathy Using Ensemble Learning Techniques
8 Machine Learning and Deep Learning for Medical Analysis—A Case Study on Heart Disease Data
9 A Novel Convolutional Neural Network Model to Predict Software Defects
10 Predictive Analysis of Online Television Videos Using Machine Learning Algorithms
11 A Combinational Deep Learning Approach to Visually Evoked EEG-Based Image Classification
12 Application of Machine Learning Algorithms With Balancing Techniques for Credit Card Fraud Detection: A Comparative Analysis
13 Crack Detection in Civil Structures Using Deep Learning
14 Measuring Urban Sprawl Using Machine Learning
15 Application of Deep Learning Algorithms in Medical Image Processing: A Survey
16 Simulation of Self-Driving Cars Using Deep Learning
17 Assistive Technologies for Visual, Hearing, and Speech Impairments: Machine Learning and Deep Learning Solutions
18 Case Studies: Deep Learning in Remote Sensing
Index
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