1 Subjects: “...Neural networks (Computer science) / http://id.loc.gov/authorities/subjects/sh90001937...”

2 Table of Contents: “... 22. Modifying Data in an N-Tier Application...”

3 Table of Contents: “... Vacation; 5.3.1 Mathematical Formulation of the Model; 5.3.2 Steady-State Mean Number of Tasks...”

4 Table of Contents: “... Testing; 2.1 Threat Modeling; 2.2 How Testers Can Leverage a Threat Model; 2.3 Data Flow Diagrams; 2.4...”

5 Table of Contents: “... workflow event receivers -- 12.4. Pluggable workflow services -- 12.5. SharePoint workflow object model...”

6 Table of Contents: “... -- Acknowledgments -- References -- ch. 5 Sentic Computing for Social Network Analysis -- 1. Introduction -- 2...”

7 Subjects: “...Service-oriented architecture (Computer science) / http://id.loc.gov/authorities/subjects/sh...”

8 Table of Contents: “...Exercise 17: Creating a neural networkFundamentals of Deploying a Model as a Service; Activity 4...”

9 Table of Contents: “... -- References 12 -- Further Reading 12 -- 2 The QOS Tools 13 -- 2.1 Classifiers and Classes of Service 13 -- 2.2...”

10 Table of Contents: “... -- Chapter 7. Advanced deep-learning best practices -- 7.1. Going beyond the Sequential model: the Keras...”

11 Table of Contents: “... Aggregates -- Applying Set Operations -- Summary -- Chapter 17. Quick Reference -- 18. Using LINQ to DataSet...”

12 Table of Contents: “...: Big Data Cryptography -- Chapter 17: Cloud Computing Cryptography -- Part III: Pro Cryptanalysis...”

13 Table of Contents: “... in this book -- 1.5. Summary -- 2 Go as a machine-learning problem -- 2.1. Why games? -- 2.2. A lightning...”