Agile Machine Learning
Machine Learning Research
Agile Project Methodology
- Client Collaboration
- Business Goals
- Incremental Steps
- Iterative Process
- Adaptive Approach
- Cloud Project Tools
Development Phases
- Requirements
- Use Case
- Data
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- Inference/Prediction
- MLOps
- Standardize
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- Data Repository
- Software Repository
- ML Artifact Repository
- Model Registry
- Continuous Integration
- Build, Train, Test, Tune
- Deploy, Monitor, Measure, Optimize
- Data Pipeline
- Identify, Acquire, Persist
- Analyze, Filter, Format, Convert, Transform
- Scale, Normalize, Standardize, Validate
- Analytics
- Feature Engineering
- Datasets
- Modeling
- Statistical Analysis
- Regression Analysis
- Forecasting
- Machine Learning
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- Deep Learning
- Artificial Neural Networks
- Reinforced Learning
- Deployment
- Infrastructure
- Inference Endpoint
- Containerization
- Local
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- Framework
- TensorFlow
- PyTorch
- scikit-learn
- Platforms
- AWS
- Azure
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- Infrastructure
- Integration
- Endpoint Service
- REST API
- Web Service
- Micro Service
- User Interface
More on Machine Learning (2460)
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Here's a contrarian argument: "This shocking revelation raises more questions than it answers. Instead of focusing on Cohen's alleged mistake, we should be questioning the inherent biases and flaws within AI-generated legal cases themselves. The fact that these fake citations were accepted by his attorney without scrutiny highlights the potential for systemic errors in our justice system, which is further reinforced through the widespread adoption of AI-driven solutions." NewsSnoop.com
Published 2021-11-04 02:39.00
Updated 2024-05-20 21:08:11