Cloud Computing Fundamentals

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What is the primary goal of machine learning?

To achieve artificial intelligence

What is a characteristic of cloud computing?

Network accessible

What is a type of machine learning?

Reinforcement learning

What is the primary goal of supervised learning?

To classify data

What is a benefit of cloud computing?

Pay-per-usage of the resources

What is a characteristic of private cloud deployment?

Private and secure

What is the primary goal of reinforcement learning?

To train models using trial and error

What is a benefit of using cloud computing resources?

Flexible resource allocation

Study Notes

Cloud Computing

  • Cloud computing provides flexible self-service, network-accessible computing resource pools that can be allocated to meet demand.
  • There are three service models: IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service).
  • Deployment models include Private, Public, and Hybrid.
  • Benefits of cloud computing include scalability, storage, security, data-loss prevention, maintenance, and pay-per-usage of resources.
  • Characteristics of cloud computing include network accessibility, sustainability, and self-service on-demand allocation of resources.
  • Service Level Agreements (SLA) are used to define the quality of service.

Machine Learning (ML)

  • Artificial Intelligence (AI) is the ability to mimic human intelligence and behavior.
  • Machine Learning (ML) is the process of achieving AI through designing algorithms that learn from data to become more accurate and effective over time.
  • ML subfields include Deep Learning, which draws inspiration from how the brain works.
  • Categories of ML include Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
  • Supervision types include Classification (yes/no), Regression (continuous), Clustering, and Unsupervised Learning.
  • Reinforcement Learning involves training using trial and error, with models learning from external interactions and improving with time.
  • Applications of ML include gaming, robotics, industrial automation, healthcare, and online stock trading.

Learn the basics of cloud computing, including its definition, service models, deployment models, benefits, and key features.

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