Difference between revisions of "Amazon"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
}} | }} | ||
| − | [ | + | [https://www.youtube.com/results?search_query=amazon+aws YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=amazon+aws+deep+machine+learning+ML ...Google search] |
| − | * [ | + | * [https://docs.aws.amazon.com/machine-learning/index.html Amazon Machine Learning Documentation] |
* [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]] | * [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]] | ||
* [[AWS with TensorFlow]] | * [[AWS with TensorFlow]] | ||
| Line 19: | Line 19: | ||
* [[AmazonML]] | * [[AmazonML]] | ||
* [[Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI]] | * [[Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI]] | ||
| − | * [ | + | * [https://developer.amazon.com/alexa-skills-kit Alexa Skills Kit] implementing Amazon’s cloud-based voice service |
| − | * [ | + | * [https://www.floydhub.com/ FloydHub - training and deploying your DL models] |
| − | * [ | + | * [https://aws.amazon.com/about-aws/events/monthlywebinarseries/on-demand/ On-Demand AWS Tech Talks] |
| − | * [ | + | * [https://aws.amazon.com/training/ AWS Training and Certification] |
* [[Assistants]] | * [[Assistants]] | ||
| − | ** [ | + | ** [https://techcrunch.com/2018/02/12/amazon-may-be-developing-ai-chips-for-alexa/ Amazon Is Becoming an AI Chip Maker, Speeding Alexa Responses] |
| − | ** [ | + | ** [https://venturebeat.com/2019/09/25/amazon-unveils-echo-buds-alexa-enabled-earbuds-that-track-your-steps/ Amazon unveils Echo Buds, Alexa-enabled earbuds with noise reduction | Kyle Wiggers] |
| − | ** [ | + | ** [https://venturebeat.com/2019/09/25/amazons-echo-frames-are-eyeglasses-with-alexa/ Amazon’s Echo Frames are eyeglasses with Alexa | Khari Johnson] |
_______________________________________________ | _______________________________________________ | ||
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* [[Textract]] in the Elastic Stack Architecture | * [[Textract]] in the Elastic Stack Architecture | ||
| − | * [ | + | * [https://aws.amazon.com/comprehend/ Comprehend] - natural language processing (NLP) service |
| − | * [ | + | * [https://aws.amazon.com/kendra/ Kendra] - natural language search capabilities to your websites and applications; allowing users to ask a question then searches across repositories |
* [[Lex]] - conversational interfaces using voice and text | * [[Lex]] - conversational interfaces using voice and text | ||
* [[SageMaker]] - build, train, and deploy | * [[SageMaker]] - build, train, and deploy | ||
| Line 50: | Line 50: | ||
* [[Simple Storage Service (S3)]] - object storage | * [[Simple Storage Service (S3)]] - object storage | ||
* [https://aws.amazon.com/forecast/ Amazon Forecast] ... looking at a historical series of data, which is called [[Forecasting#Time Series Forecasting|time series]] data | * [https://aws.amazon.com/forecast/ Amazon Forecast] ... looking at a historical series of data, which is called [[Forecasting#Time Series Forecasting|time series]] data | ||
| − | * [ | + | * [https://aws.amazon.com/athena Athena] interactive query service to analyze data in Amazon S3 using standard SQL |
| − | * [ | + | * [https://aws.amazon.com/serverless/ run applications and services without thinking about servers]; [[Serverless]] |
| − | * [ | + | * [https://aws.amazon.com/glue/ Glue] a fully managed extract, transform, and load (ETL) service to prepare and load data for analytics |
| − | ** [ | + | ** [https://docs.aws.amazon.com/glue/latest/dg/add-crawler.html Crawlers] to populate the AWS Glue Data Catalog with tables |
* [[Management Console]] - manage web services | * [[Management Console]] - manage web services | ||
* [[Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI]] | * [[Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI]] | ||
| − | * [ | + | * [https://en.wikipedia.org/wiki/SoftAP SoftAP] - software enabled access point |
| − | * [ | + | * [https://www.ubuntu.com/ Ubuntu] - operating system |
== Libraries & Frameworks == | == Libraries & Frameworks == | ||
| Line 71: | Line 71: | ||
<youtube>WoQ3UcEsvTw</youtube> | <youtube>WoQ3UcEsvTw</youtube> | ||
| − | * [ | + | * [https://aws.amazon.com/training/learning-paths/machine-learning/ Learning Paths] |
Business Decision Maker... ...Data Platform Engineer... ... Data Scientist.... ..... .... Developer | Business Decision Maker... ...Data Platform Engineer... ... Data Scientist.... ..... .... Developer | ||
| − | + | https://d1.awsstatic.com/training-and-certification/exams_courses_icons/icon_ml-decision-maker.da2f4225ee7b53f91fbc6e1ae08cbf4c13777a0e.png | |
| − | + | https://d1.awsstatic.com/training-and-certification/exams_courses_icons/icon_ml-data-platform-engineer.7cf26a6e863a1286e1f94c54a2c6493a68a6bb69.png | |
| − | + | https://d1.awsstatic.com/training-and-certification/roles/icon_data-scientist.0ec69c78a7db519f20247c3960f342c1325644dc.png | |
| − | + | https://d1.awsstatic.com/training-and-certification/exams_courses_icons/icon_ml-developer.60695054f17ef19224ba3549d901ab640738a6e4.png | |
== Business Decision Maker == | == Business Decision Maker == | ||
| − | * [ | + | * [https://aws.amazon.com/training/learning-paths/machine-learning/decision-maker/ Business individuals and team leaders] |
| − | <img src=" | + | <img src="https://d1.awsstatic.com/Train%20&%20Cert/Learning%20Paths/ml-path_business-decision-maker_v5.fafef41c7ea476dd5d144923e99e0931269dfe20.png" width="800" height="200"> |
== Data Platform Engineer == | == Data Platform Engineer == | ||
| − | * [ | + | * [https://aws.amazon.com/training/learning-paths/machine-learning/data-platform-engineer/ Data platform engineers] |
| − | <img src=" | + | <img src="https://d1.awsstatic.com/training-and-certification/Learning_Paths/learning-path-ml-data-platform-engineer_march2020.34a3ad0d968ab9275f09fb9658ad0833971880c1.png" width="800" height="400"> |
== Data Scientist == | == Data Scientist == | ||
| − | * [ | + | * [https://aws.amazon.com/training/learning-paths/machine-learning/data-scientist/ Learners skilled in math, statistics, and analysis] |
| − | <img src=" | + | <img src="https://d1.awsstatic.com/training-and-certification/Learning_Paths/learning-paths_ml-data-scientist_march2020.aa1bd23eb8e39e6ed369c2a435e87f171bad9504.png" width="800" height="500"> |
== Developer == | == Developer == | ||
| − | * [ | + | * [https://aws.amazon.com/training/learning-paths/machine-learning/developer/ Builders and Software Developers] |
| − | <img src=" | + | <img src="https://d1.awsstatic.com/training-and-certification/Learning_Paths/learning-paths_ml-developer_march2020.b7bca6ba2cf5ffe563707f849ef636b3f6d5d91f.png" width="800" height="500"> |
Revision as of 21:55, 27 March 2023
YouTube search... ...Google search
- Amazon Machine Learning Documentation
- Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)
- AWS with TensorFlow
- DeepLens - deep learning enabled video camera
- AWS Internet of Things (IoT)
- AmazonML
- Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI
- Alexa Skills Kit implementing Amazon’s cloud-based voice service
- FloydHub - training and deploying your DL models
- On-Demand AWS Tech Talks
- AWS Training and Certification
- Assistants
_______________________________________________
Contents
Integrated Components/Technologies
- Textract in the Elastic Stack Architecture
- Comprehend - natural language processing (NLP) service
- Kendra - natural language search capabilities to your websites and applications; allowing users to ask a question then searches across repositories
- Lex - conversational interfaces using voice and text
- SageMaker - build, train, and deploy
- Polly - text to speech
- Rekognition - video analysis service
- Kinesis - collect, process, and analyze real-time, streaming data
- Lambda - run code without managing servers
- AWS Internet of Things (IoT) Services Overview; process and route those messages to AWS endpoints
- MQTT - A lightweight messaging protocol
- AWS IoT Button
- Greengrass - connected devices can run AWS Lambda functions, keep device data in sync
- Intel® Compute Library for Deep Neural Networks (clDNN) & OpenVINO - deep learning primitives for computer vision
- Simple Queue Service (SQS) - message queuing
- Simple Notification Service (SNS) - pub/sub messaging and mobile notifications
- DynamoDB - NoSQL database
- Simple Storage Service (S3) - object storage
- Amazon Forecast ... looking at a historical series of data, which is called time series data
- Athena interactive query service to analyze data in Amazon S3 using standard SQL
- run applications and services without thinking about servers; Serverless
- Glue a fully managed extract, transform, and load (ETL) service to prepare and load data for analytics
- Crawlers to populate the AWS Glue Data Catalog with tables
- Management Console - manage web services
- Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI
- SoftAP - software enabled access point
- Ubuntu - operating system
Libraries & Frameworks
Training
Business Decision Maker... ...Data Platform Engineer... ... Data Scientist.... ..... .... Developer
Business Decision Maker
Data Platform Engineer
Data Scientist
Developer
