AI Elements Map

Ai is a broad term for a range of techs in computer science. What are they?

• Core Components: Machine Learning Algorithms, Neural Networks, Deep Learning, Computer Vision, NLP, and more.

• Data Management: Data Collection, Cleaning, Storage, Annotation, Integration, and Security.

• Model Training: Supervised, Unsupervised, Reinforcement Learning, Federated Learning, and Active Learning.

• Model Evaluation: Accuracy, Precision, Recall, F1 Score, ROC-AUC, and Cross-Validation.

• Deployment: TensorFlow Serving, ONNX, Docker, Kubernetes, REST APIs, and Edge Deployment.

• Monitoring and Management: Drift Detection, Performance Metrics, MLflow, Airflow, and Alerting.

• Security and Ethics: Data Privacy, Bias Mitigation, Explainability, GDPR Compliance, and Ethical AI Guidelines.

• Applications: Text Classification, Sentiment Analysis, Chatbots, Image Classification, and Recommendation Systems.

• Emerging Trends: GANs, VAEs, Edge Computing, Quantum ML, Federated Learning, and Explainable AI.

• Integration and Continuous Learning: CI/CD, MLOps, Automated Retraining, Model Monitoring, and Infrastructure as Code.

Author

Ai Backbone Network (ABN), ABN ASIA was founded by people with deep roots in academia, with work experience in the US, Holland, Hungary, Japan, South Korea, Singapore, and Vietnam. ABN Asia is where academia and technology meet opportunity. With our cutting-edge solutions and competent software development services, we're helping businesses level up and take on the global scene. Our commitment: Faster. Better. More reliable. In most cases: Cheaper as well.

Feel free to reach out to us whenever you require IT services, digital consulting, off-the-shelf software solutions, or if you'd like to send us requests for proposals (RFPs). You can contact us at [email protected]. We're ready to assist you with all your technology needs.

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