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AWS CLOUDFRONT SETUP

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  AWS NEW BLOG 👉 Everything is done by AWS CLI 👉 Each change is shown in this Blog. 🔰 Create High Availability Architecture with AWS CLI 🔰 🔅The architecture includes-  - Web Server configured on EC2 Instance - Document Root(/var/www/html) made persistent by mounting on EBS Block Device. - Static objects used in code such as pictures stored in S3 - Setting up a Content Delivery Network using CloudFront and using the origin domain as an S3 bucket.  - Finally, place the CloudFront URL on the web app code for security and low latency. AWS - Amazon Web Services is a Public Cloud Service by Amazon Company. 👉 AWS provides Infrastructure As A Service, Platform As A Service, and Software As A Service. 👉 In This Task, I am going to use AWS CLI, EC2, EBS, S3, Cloudfront. 👉 AWS Provides High Availability, Isolation, and Security of services used by us. 👉 AWS Provides each service with minimal cost. 👉 AWS works on a pay-as-we-go model. PUBLIC CLOUD - Public cloud allows us to use the prov
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HOW GOOGLE USES MACHINE LEARNING ??

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👉 MACHINE LEARNING  Humans have brains which means they can answer that question also whose answer is not known to them but how a human is able to answer it's just because he has a natural intelligence and past experience which helps them to predict the answer but the computer is hardware then how to give the brain to it ?? What do humans have? 👉 Brain 👉 Experience 👉 Lots of data 👉 Prediction power 👉 The habit of not saying “no” What computers do not have? 👉 Brain 👉 Prediction Power 👉 the answer to that question whose data does not exist. MACHINE LEARNING - It is an application of ARTIFICIAL INTELLIGENCE which provides machines to automatically learn and improve through experience. The more data brings more experience to the robot without explicitly programmed. It is of four types -   👉 SUPERVISED LEARNING - Supervisor means an instructor who instructs to do something. In supervised learning, the labeled data is used to train the computer for future prediction. Sentim
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