AWS for Machine Learning — Part 1
Cloud computing for dummies. A brief layman understandable explanation for anyone. A must for any budding developers/tester.
📄Contents.
1. Cloud Computing.
2. What is AWS?
3. AWS for machine learning
1.1 What is Cloud Computing?
Before the concept of cloud computing came into the picture back then even if a website needs to be hosted companies had to buy huge servers and maintain them. It was a huge cost and inefficient workforce diversion for the companies which wanted to focus on the actual task at hand rather than the maintaining of these servers.
Some other companies saw this as an opportunity which went ahead and bought these huge servers and had a huge collection of servers and rented them out to other companies.
It is a win-win for everyone since it is cheaper and easier for the companies that wanted to focus on their application/product rather than maintaining these servers. This is how Cloud as a service started
1.2 Cloud as a service
We all use electricity, how do we pay for this we pay according to the number of units used. We don't worry about how it is generated?, How it is transported?, How it is maintained? right!!!
Similar to that we rent a server on the cloud, we pay for the amount of server used. The cost will usually depend on the size of the server and the amount of time it is being used.
If a computing service is provided to you in this format it is called cloud as a service
1.3. Cloud service types
The service has basically three types.
1. IaaS: Infrastructure as a service
2. PaaS: Platform As A Service
3. SaaS: Software As A Service
SaaS —Gmail would be one of the best examples. Where our only concern is to write the email and send it out we do not worry about anything else like what is server goes down where it is stored etc.
PaaS — Imagine if you are the owner company of Netflix/Facebook. Then PaaS will be used where your application Facebook/Netflix is hosted with the data like videos or images. Rest everything is taken care of by the service provider.
IaaS —It is made of highly scalable and automated compute resources. IaaS is fully self-service for accessing and monitoring computers, networking, storage, and other services. Examples:- DigitalOcean, Amazon Web Services (AWS), Cisco Metacloud, Microsoft Azure, Google Compute Engine (GCE).
Usually, Larger companies may prefer to retain complete control over their applications and infrastructure, but they want to purchase only what they actually consume or need to use IaaS.
Cloud Service Providers:
Name some large enterprises in your mind all of them are into providing cloud services. Why??
This fun fact will provide you the answer. In 2020 AWS is responsible for more than 63% of the entire company’s operating profits for the year. And mind you it is one of the largest, if not the largest companies in the world.
Popular Cloud Service Providers:
- Amazon Web Service (AWS): Leading cloud service provider. AWS’s server capacity is about 6 times larger than the next 12 competitors combined.
- Microsoft Azure: Second after AWS
- Google Cloud Platform: Known for its big data capabilities.
- Server Space:
- IBM Cloud Services.
- Adobe Creative Cloud.
- Kamatera.
- VMware.
So now you must have some idea on why I chose to explain AWS instead of the other service providers
Want to learn more check out the topics below.
More references:
- Artificial Intelligence real or is it just a hype of this decade??
- Artificial Intelligence: Definition, Types, Examples, Technologies
- Artificial Intelligence vs Machine Learning
- Why Machine learning for achieving Artificial Intelligence? “ The Need for Machine Learning”
- Machine Learning Types and Algorithms
- Linear Regression Part -1
- Linear Regression Part -2(example implementation)
- How to get AI related jobs?
- So you want to build a chatbot from scratch?
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