- INTRODUCTION
- BACKGROUND
- ALL ONE NEEDS TO KNOW ABOUT MLOP’S
3.1. PIPELINE FOR MLOPS - LEVELS OF MATURITY
- PLATFORMS & TOOLS
- DATA PROCESSING TOOLS
6.1. TOOLS FOR DATA PREPROCESSING
6.2. MODELING SOFTWARE
6.3. TOOLS FOR OPERATIONALIZATION
6.4. HOW DO YOU PICK THE BEST TOOLS FOR THE JOB? - MLOPS CHALLENGES
7.1. PIPELINES THAT ARE EFFICIENT
7.2. RE-TRAINING
7.3. NEW DATA MANIPULATION - MONITORING
8.1. DATA MONITORING
8.2. MODEL MONITORING: - THE ADVANTAGES OF MLOP
9.1. COMMUNICATION
9.2. WORKFLOWS THAT ARE REPEATABLE
9.3. REGULATORY COMPLIANCE / GOVERNANCE
9.4. SPECIFIC RECOMMENDATIONS
9.5. REDUCTION IN BIAS - CONCLUSION
MLOPs: THE NASCENT STAGE TECHNOLOGY THAT WILL RULE THE FUTURE
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