1 INTRODUCTION  
1.1 VIDEO CLASSIFICATION EXAMPLE OVERVIEW  
2 DATA CONDITIONING  
2.1 DATA MANAGEMENT  
2.2 DATA CURATION  
2.4 DATA CONDITIONING WITHIN THE CONTEXT OF EXEMPLARY APPLICATION  
3 ALGORITHMS  
3.2 UNSUPERVISED LEARNING  
3.3 SUPERVISED AND UNSUPERVISED NEURAL NETWORKS  
3.4 TRANSFER LEARNING  
3.5 SEMI-SUPERVISED LEARNING  
3.6 REINFORCEMENT LEARNING  
3.7 COMMON ALGORITHMIC PITFALLS  
3.8 ALGORITHMS WITHIN THE CONTEXT OF EXEMPLARY APPLICATION  
4 COMPUTING  
4.2 MACHINE LEARNING SOFTWARE  
4.3 HIGH-PERFORMANCE COMPUTING  
4.4 COMPUTING WITHIN THE CONTEXT OF EXEMPLARY APPLICATION  
5 ROBUST ARTIFICIAL INTELLIGENCE  
5.1 EXPLAINABLE AI  
5.2 METRICS  
5.3 SECURITY  
5.4 OTHER ROBUST AI FEATURES  
5.5 ROBUST AI WITHIN THE CONTEXT OF EXEMPLARY APPLICATION  
6 HUMAN–MACHINE TEAMING