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Questions and Answers
What are the primary benefits of cloud computing, and how do they address the challenges of traditional computing models?
What are the primary benefits of cloud computing, and how do they address the challenges of traditional computing models?
The primary benefits of cloud computing include scalability, accessibility, and pay-per-usage of resources. These benefits address the challenges of traditional computing models by providing flexible resource allocation, reducing maintenance and data loss, and enabling on-demand self-service management.
What is the main difference between artificial intelligence and machine learning, and how do they relate to each other?
What is the main difference between artificial intelligence and machine learning, and how do they relate to each other?
Artificial intelligence (AI) refers to the ability of machines to mimic human intelligence and behavior, while machine learning (ML) is the process used to achieve AI through designing algorithms that can learn from data and improve over time.
What are the three main categories of machine learning, and how do they differ from each other?
What are the three main categories of machine learning, and how do they differ from each other?
The three main categories of machine learning are supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training models on labeled data, unsupervised learning involves training models on unlabeled data, and reinforcement learning involves training models through trial and error and external interactions.
What is the role of deep learning in machine learning, and how does it relate to the human brain?
What is the role of deep learning in machine learning, and how does it relate to the human brain?
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What is the main advantage of cloud computing's pay-per-usage model, and how does it differ from traditional computing models?
What is the main advantage of cloud computing's pay-per-usage model, and how does it differ from traditional computing models?
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What is the role of service level agreements (SLAs) in cloud computing, and how do they benefit users?
What is the role of service level agreements (SLAs) in cloud computing, and how do they benefit users?
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How does cloud computing's scalability benefit organizations, and what are some common use cases for this benefit?
How does cloud computing's scalability benefit organizations, and what are some common use cases for this benefit?
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What is the main difference between IaaS, PaaS, and SaaS cloud service models, and how do they differ in terms of management and control?
What is the main difference between IaaS, PaaS, and SaaS cloud service models, and how do they differ in terms of management and control?
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What are some common use cases for reinforcement learning, and how does it differ from other machine learning categories?
What are some common use cases for reinforcement learning, and how does it differ from other machine learning categories?
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What are some common benefits of private cloud deployment, and how does it differ from public cloud deployment?
What are some common benefits of private cloud deployment, and how does it differ from public cloud deployment?
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Study Notes
Cloud Computing
- 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
Machine Learning
- 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
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Description
Quiz on cloud computing basics, covering service models, deployment models, benefits, and features of cloud computing.