https://www.humblebundle.com/about --------------- Excellent link for many use cases of AI and Machine Learning.
https://www.hackerrank.com/
https://leetcode.com/
http://www.tutorialspoint.com/unix
http://www.thegeekstuff.com/2010/50-linux-commands
http://www.nbcs.rutgers.edu/~edseries/UNIXcmds.html
https://www.geeksforgeeks.org
Welcome to the AWS Turbocharger, made
to get you up to speed with our products quickly and see how other customers
solve unique challenges. Read on to give your learning a boost, featuring
Artificial Intelligence, Serverless Computing, and Databases.
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Artificial
Intelligence
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Amazon AI services
bring Artificial Intelligence technologies within the reach of every
developer. Based on the same proven, highly scalable products and services
built by the thousands of machine learning experts across Amazon, Amazon AI
services provide high-quality, high-accuracy AI capabilities that are
scalable and cost-effective.
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Deep learning on AWS:
Get started with Deep Learning through this step-by-step guide. Learn How »
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How Amazon Polly
breathed life into Dan Brown’s digital assistant: Learn
how BeeLiked uses Polly to voice Dan Brown's personalized book signing video
in the #danbrownorigin campaign. Learn more »
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Getting started with
Rekognition: Amazon
Rekognition makes it easy to add image analysis to your applications. Get started now »
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Test your bot:
Enhancements to the Amazon Lex Console let you test your bot for better
troubleshooting. Read the blog »
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Serverless
Computing
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AWS Lambda
lets you run code without provisioning or managing servers. You pay only for
the compute time you consume. You can virtually build any type of serverless application
using Lambda.
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Run I/O bound tasks in parallel:
Did you know that you can use the Python multiprocessing module within an AWS
Lambda function to run I/O bound tasks in parallel and get results much
faster? Read the blog »
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Improve the resiliency of
serverless applications: Automate Lambda
function error handling with AWS Step Functions to improve the resiliency of
your serverless applications. Read the blog »
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Build a chatbot to monitor social
channel: Have you ever worried about
explicit or suggestive images in your Slack channel? Build a chatbot to
monitor and automatically remove these images so you can relax. Learn more »
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Serverless deployment pipeline at
CA Technologies: CA Technologies
shares how they built a serverless deployment pipeline using AWS Lambda,
Amazon S3, and Amazon SNS. Watch the video »
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Amazon DynamoDB
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Amazon DynamoDB is
a fast and flexible NoSQL database service for any application that needs
consistent, single-digit millisecond latency at any scale. It is a fully
managed cloud database and supports both document and key-value store models.
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Prime Day 2017 – Powered by AWS
and DynamoDB : Learn how the
extreme scale, consistent performance, and high availability of DynamoDB let
Amazon.com meet needs of 2017 Prime Day without breaking a sweat. Read more »
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DynamoDB Auto Scaling: Get a technical overview of DynamoDB Auto
Scaling and how it works. Watch the video »
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Step-by-step tutorial:
Get up and running with DynamoDB in just 10 minutes with this
step-by-step tutorial, and self-paced learning quest. Watch the tutorial »
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Customer Successes with Amazon
DynamoDB: Learn how customers have
achieved cloud-based digital transformation with Amazon DynamoDB. Read more »
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Amazon
Aurora
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Amazon
Aurora is a relational database engine that
combines the speed and availability of commercial databases with the
simplicity of open source databases, compatible with MySQL and PostgreSQL.
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Database Migration to Amazon
Aurora: Learn how to
pick your first database to migrate. Read the blog »
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Amazon Aurora Under
the The Hood : Explore
quorum reads and mutating state in Aurora. Read the blog »
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Amazon RDS Wins DBTA Reader’s
Choice Award: Readers of Database Trends
and Applications Magazine honor RDS in the “Best Cloud Database” category. Read article »
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Aurora Resources:
Get started with Aurora and explore all stages of database migration and
management with the new Aurora Resources page. Visit page »
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