In the past 10 years, the best-performing artificial-intelligence systems — such as the speech recognizers on smartphones or Google’s latest automatic translator — have resulted from a technique called “deep learning.”
Machine learning (ML) is the instrument through which these newborn computer-based bits of synthetic intelligence process all the info they’re nourished with, much like the five senses help a human toddler learn and experience the world.
Eventually, all this information becomes enough to help these AIs provide us with new answers to our questions, and many solutions that are much smarter than those that a human mind might conceive
In this article we will get to know how to integrate the Relational Database Service (RDS) with a WordPress server running on EC2 instance of AWS
In this step, I will create an Amazon EC2 instance to run the WordPress site.
To create EC2 instance, go to Amazon EC2 in the AWS console follow the below steps shown in the screenshots
Kubernetes (also known as k8s or “kube”) is an open source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications.
In other words, you can cluster together groups of hosts running Linux® containers, and Kubernetes helps you easily and efficiently manage those clusters.
Kubernetes clusters can span hosts across on-premise, public, private, or hybrid clouds. For this reason, Kubernetes is an ideal platform for hosting cloud-native applications that require rapid scaling, like real-time data streaming through Apache Kafka.
NASA needed to move roughly 65 applications from a traditional hardware-based data center to a cloud based environment for better agility and cost savings. The agency migrated many of its applications “as-is” to a cloud environment as a result of the rapid timeline. This created an environment spanning multiple virtual private clouds and AWS accounts it could not easily manage.
Even simple things, like ensuring every system administrator had access to every server or simple patching, were extremely burdensome.
To remedy this, NASA turned to Red Hat and Ansible Tower to manage and schedule the cloud environment. Ansible by…
What is an AI?
AI is a set of concepts, tools, and techniques that represents huge disruptive and transformative potential. Definition-wise, we can think of AI simply as intelligence exhibited by machines that can be used in a beneficial way (e.g., carrying out tasks, making decisions, assisting humans, saving lives). More specifically, AI describes when a machine is able to learn from information (data), generate some degree of understanding, and then use the knowledge learned to do something. AI includes machine learning and specific techniques such as deep learning as subsets.
Artificial Intelligence (AI) involves using computers to do things…
Hello everyone !!
In this blog we are going to see how to interact with AWS console with CLI from our windows system.
Since we can launch any number of instances at AWS management console but we have certain limitations.
To use AWS in our own command prompt we need to install AWS on our system and have to configure it.
This has more privileges but we can’t access IAM using AWS CLI.
Now we are going to see some few basics commands for launching instance.
→ Creating key-pair.
→ Creating Security groups.
→ Launching Instances.
→Creating Volume(EBS). …
Netflix is the world’s leading internet television network, with more than 100 million members worldwide enjoying 125 million hours of TV shows and movies each day, including original series, documentaries, and feature films. Members can watch as much as they want, anytime, anywhere, on nearly any Internet-connected screen.
“Amazon Kinesis Data Streams processes multiple terabytes of log data each day, yet events show up in our analytics in seconds. We can discover and respond to issues in real time, ensuring high availability and a great customer experience.”
Senior Software Engineer, Netflix
Netflix uses Amazon Web Services (AWS) for…
In today’s world data is everything. For every action we do, data has been recorded.Data with high speed and high volume.It’s not easy to make data persistent. Even though some how we can manage it and store,but there comes one problem I/O. Manipulation of data with huge amount will obviously takes some more time. Today most of the giant companies facing this problem because of huge data. FB reveals that they process around 500 TB data per day. Where it has been stored? How it has been stored? and How they are manipulating these huge amount of data?
ARTH Learner at LinuxWorld Informatics Pvt Ltd & AL ML Developer