Cloud Academy - Applying Machine Learning and AI Services on AWS

Cloud Academy - Applying Machine Learning and AI Services on AWS
English | Size: 2.62 GB
Category: Tutorial

This learning path demonstrates practical applications of AWS machine learning and Artificial Intelligence services using a blend of instructional learning and hands-on labs. At the conclusion of this learning path, you will be able to implement and experiment with Amazon Machine Learning platform and application services.

Intended Audience
This learning path is suited to anyone interested in applying AWS Machine Learning and Artificial Intelligence platform and application services.

Learning Objectives
By completing this learning path you will be able to:

Explain and apply Amazon Machine Learning, Amazon Rekognition, Amazon Lex chatbots, AWS Deep Learning AMI's and Amazon Distributed Machine Learning services.
Explain and apply distributed machine learning with Apache Spark, Amazon EMR, Spark MLib, and AWS Glue.
Apply and build a TensorFlow machine learning model using the Amazon Deep Learning AMI.
Automate image and video processing using the Amazon Rekognition API.

Miscellaneous
Provider: Cloud Academy
Title: Applying Machine Learning and AI Services on AWS

Knowledge must be free. We are a 0day e-learning release group.
You can find us on Discord and pass some exams together. You will know when you found us.

Buy Long-term Premium Accounts To Support Me & Max Speed

DOWNLOAD:

https://rapidgator.net/file/0320678e9d3e5c28abc0086290f07d99/CA181.part1.rar.html
https://rapidgator.net/file/d5677726d41582269dfe9bb35c93f385/CA181.part2.rar.html
https://rapidgator.net/file/cc64d323ccffa72c30c47de049a79457/CA181.part3.rar.html
https://rapidgator.net/file/700544863bcfd6e0f10a88d01f17cfe4/CA181.part4.rar.html


https://nitroflare.com/view/ACDA9AE1C89CEB9/CA181.part1.rar
https://nitroflare.com/view/66E56023F3BEFF8/CA181.part2.rar
https://nitroflare.com/view/0AD7FF2D5F14F16/CA181.part3.rar
https://nitroflare.com/view/8A2D5B15B28BE7C/CA181.part4.rar

If any links die or problem unrar, send request to https://goo.gl/aUHSZc