Podcast
Questions and Answers
Scalability is a characteristic of Cloud computing.
Scalability is a characteristic of Cloud computing.
True
Private Deployment Model is managed by the provider.
Private Deployment Model is managed by the provider.
False
Machine Learning is a subfield of Artificial Intelligence.
Machine Learning is a subfield of Artificial Intelligence.
True
Reinforcement Learning is a type of Supervised Learning.
Reinforcement Learning is a type of Supervised Learning.
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Deep Learning is a subfield of Machine Learning.
Deep Learning is a subfield of Machine Learning.
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SLA stands for Service Level Agreements.
SLA stands for Service Level Agreements.
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Unsupervised Learning is used for Classification tasks.
Unsupervised Learning is used for Classification tasks.
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Machine Learning is widely used in gaming, robotics, and industrial automation.
Machine Learning is widely used in gaming, robotics, and industrial automation.
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In Cloud computing, the Pay-per-usage model is a benefit of scalability.
In Cloud computing, the Pay-per-usage model is a benefit of scalability.
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Machine Learning can only be applied to data that is already labeled.
Machine Learning can only be applied to data that is already labeled.
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Deep Learning is a type of Reinforcement Learning.
Deep Learning is a type of Reinforcement Learning.
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In Cloud computing, the Public Deployment Model is managed by the provider.
In Cloud computing, the Public Deployment Model is managed by the provider.
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Artificial Intelligence is a subfield of Machine Learning.
Artificial Intelligence is a subfield of Machine Learning.
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In Machine Learning, Supervised Learning is used for Clustering tasks.
In Machine Learning, Supervised Learning is used for Clustering tasks.
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Cloud computing provides Flexible resource allocation through self-service on demand.
Cloud computing provides Flexible resource allocation through self-service on demand.
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Machine Learning is a type of Artificial Intelligence that can mimic human behavior.
Machine Learning is a type of Artificial Intelligence that can mimic human behavior.
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In Cloud computing, the Hybrid Deployment Model combines Public and Private clouds.
In Cloud computing, the Hybrid Deployment Model combines Public and Private clouds.
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Unsupervised Learning is used for Regression tasks.
Unsupervised Learning is used for Regression tasks.
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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
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
Learn the basics of cloud computing including deployment models, service models, benefits, and characteristics. Understand the differences between IaaS, PaaS, and SaaS, and explore the advantages of cloud computing.
