R Deep Learning Essentials
Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
Build models relating to neural
Performance Tuning for Linux(R) Servers Proven techniques for optimizing web, file, print, database, and application servers Practical introductions to open source performance management tools Easy-to-understand examples based on Red Hat Enterprise Linux and Novell SUSE Linux Enterprise ServerAn indispensable guide to maximizing Linux system and application performanceFrom Wall...
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