Cloud Computing Fundamentals

Cloud computing provides ______ resource pools that can be allocated to meet demand.

IaaS, PaaS, and SaaS are different ______ models of cloud computing.

Cloud computing provides ______ scalability, allowing users to scale up or down as needed.

One of the key benefits of cloud computing is ______ maintenance, which is managed by the provider.

Machine learning is a process used to achieve ______ intelligence.

Deep learning is a subfield of ______ learning that draws inspiration from how the brain works.

Supervised learning involves ______ data to learn from.

Reinforcement learning involves ______ itself using trial and error.

Cloud computing provides ______ accessibility, allowing users to access resources from anywhere.

Service Level Agreements (SLAs) define the ______ of service provided by a cloud provider.

Flexible self-service, network-accessible computing resource pools that can be allocated to meet demand.
Service models: IaaS, PaaS, SaaS.
Deployment models: Private, Public, Hybrid.
Benefits:
- Scalability
- Storage
- Security
- Data-loss prevention
- Maintenance
- Pay-per-usage of resources
- Accessibility
- Managed by the provider
- Flexible resource assignment
Characteristics:
- Network accessible
- Sustainable
- Managed through self-service on demand
SLA: Service Level Agreements

Definition: Process used to achieve artificial intelligence, involving designing algorithms that can learn from data to become more accurate and effective over time.
Categories:
- Supervised learning
- Unsupervised learning
- Reinforcement learning
Supervision:
- Classification: yes or no
- Regression: continuous
- Clustering: un-supervised
Reinforcement learning:
- Training itself using trial and error
- Models learn from external interactions and improve with time
Applications:
- Widely used in gaming, robotics, and industrial automation
- Healthcare and online stock trading
- Deep learning is a subfield of machine learning, inspired by how the brain works