 Model-Based Software Testing and Analysis with C#This book teaches new methods for specifying, analyzing, and testing software; essentials for creating high-quality software. These methods increase the automation in each of these steps, making them more timely, more thorough, and more effective. The authors work through several realistic case studies in-depth and detail, using a toolkit built on... | | R Deep Learning Essentials
Key Features
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Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
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Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
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Build models relating to neural
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