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Amazon Textract

2024-11-14T06:09:16+00:00

Amazon Textract Cheat Sheet A fully managed document analysis service for detecting and extracting information from scanned documents. Returns extracted data as key-value pairs (e.g., Name: John Doe) Supports virtually any type of documents Can detect text written in Standard English alphabet and ASCII symbols. Common Use Cases: Building search indexes Importing documents into a business application Building automated document processing solutions Text extraction for Natural Language Processing (NLP) Applications Maintaining document compliance Concepts Amazon Textract returns a confidence score for each identified element, which indicates the probability that a given prediction is correct. A low-confidence score can be rerouted [...]

Amazon Textract2024-11-14T06:09:16+00:00

Amazon Augmented AI (A2I)

2024-11-14T05:26:07+00:00

Amazon Augmented AI Cheat Sheet Amazon A2I is a service that helps you easily integrate human reviews in a machine learning workflow. Simplifies managing a large number of human reviewers at scale. Has direct integration with Amazon Textract and Amazon Rekognition Common Use Cases: Content Moderation where human oversight is required to judge uncertain results from a machine learning model. Manual reviews of low confidence predictions due to documents that are scanned poorly or contain bad handwriting.  Concepts Task Type Type of task to be reviewed. Available task types Key-value pairs extracted by Amazon Textract Unsafe content flagged by Amazon [...]

Amazon Augmented AI (A2I)2024-11-14T05:26:07+00:00

Amazon Personalize

2024-11-14T05:55:21+00:00

Amazon Personalize Cheat Sheet A fully managed machine learning service for building recommendation systems. Amazon Personalize allows you to train, build, and deploy recommendation models without an extensive machine learning experience. Offers batch and real-time recommendations. Common Use Cases: Personalized product and content recommendations. Product rankings. Improves marketing communication through individualized push notifications and emails. Concepts Amazon Personalize can provide recommendations based on real-time data, historical data, or a mix of both. Event trackers Records user interactions in real-time. Recipe Refers to the algorithm to be used in training a solution for a given use case. Available Recipes USER_PERSONALIZATION - [...]

Amazon Personalize2024-11-14T05:55:21+00:00

Amazon Aurora vs Amazon RDS

2023-04-07T02:17:17+00:00

    Aurora RDS Type of database Relational database Features • MySQL and PostgreSQL compatible. • 5x faster than standard MySQL databases and 3x faster than standard PostgreSQL databases. • Use Parallel Query to run transactional and analytical workloads in the same Aurora database, while maintaining high performance. • You can distribute and load balance your unique workloads across different sets of Aurora DB instances using custom endpoints. • Aurora Serverless allows for on-demand, autoscaling of your Aurora DB instance capacity. • Has several database instance types for different kinds of workloads and support five database engines - MySQL, PostgreSQL, [...]

Amazon Aurora vs Amazon RDS2023-04-07T02:17:17+00:00

Amazon Aurora Machine Learning

2023-05-02T05:15:36+00:00

Amazon Aurora Machine Learning is a proprietary technology of Amazon that enables a native SQL user to integrate Machine Learning-based predictions to an application without knowing or understanding any machine learning algorithms. Machine learning heavily relies on datasets for it to work. You can say that data is the oil that keeps the engine of machine learning running. There is a massive amount of data generated every day. To give you an idea, according to this article, “By 2020, it’s estimated that for every person on earth, 1.7 MB of data will be created every second.”  Almost 2 MB of [...]

Amazon Aurora Machine Learning2023-05-02T05:15:36+00:00

Amazon Comprehend

2023-10-05T02:52:20+00:00

Bookmarks Common Use Cases Concepts Amazon Comprehend Medical Pricing Validate Your Knowledge What is Amazon Comprehend? A managed Natural Language Processing (NLP) service that you can use to extract meaningful information from unstructured texts so you can analyze them in a human-like context. It is an off-the-shelf solution that does not require deep machine learning expertise to get started. Works with social media feeds, web pages, comments, product reviews, articles, or emails. Can analyze texts in real-time by using built-in and custom models. Also offers medical insights and protected health information (PHI) [...]

Amazon Comprehend2023-10-05T02:52:20+00:00

AWS DeepLens

2024-11-14T06:11:31+00:00

AWS DeepLens Cheat Sheet A deep learning-enabled camera for developers A wireless-enabled camera integrated with AWS Cloud Capable of delivering 100GFLOPS of computing power (1 billion operations per second) Contains sample projects at launch to get you started Optimized for Apache MXNet, TensorFlow, and Caffe Integrates with Amazon Rekognition for advanced image analysis Common use cases Developing computer vision applications such as: Face Detection Activity Detection Object Detection Bird Classification  Artistic Style Transfer AWS DeepLens needs 3 AWS services to create a project: Amazon SageMaker  Train/validate custom or pre-trained models  AWS Lambda Preprocessing  Capturing inference Displaying output AWS IoT Greengrass [...]

AWS DeepLens2024-11-14T06:11:31+00:00

Amazon SageMaker AI

2024-12-11T01:54:50+00:00

Bookmarks Concepts Common Training Data Formats For Built-in Algorithms Input modes for transferring training data Two methods of deploying a model for inference SageMaker features Optimization Amazon SageMaker Monitoring Amazon SageMaker Pricing Validate Your Knowledge Amazon SageMaker AI Cheat Sheet A fully managed service that allows data scientists and developers to easily build, train, and deploy machine learning models at scale. Provides built-in algorithms that you can immediately use for model training. Also supports custom algorithms through docker containers. One-click model deployment. Concepts Hyperparameters It refers to a [...]

Amazon SageMaker AI2024-12-11T01:54:50+00:00

Amazon Lex

2024-11-14T05:31:45+00:00

Amazon Lex Cheat Sheet A service that can help you build conversational interfaces using voice and text. Uses automatic speech recognition (ASR) to convert speech to text. Uses natural language understanding (NLU) for recognizing the intent of the text. Provides highly-engaging user experiences and lifelike conversational interactions. Gets more intelligent over time by using deep learning. Common Use Cases AI Chatbots Informational bots Enterprise Productivity bots Voice Assistants Concepts Bots Performs automated tasks such as ordering food or booking flights. Supports multiple intents - for example, a bot can book a reservation or may choose to cancel it. Intent A [...]

Amazon Lex2024-11-14T05:31:45+00:00

Amazon Elastic Inference

2024-11-14T05:29:14+00:00

Amazon Elastic Inference Cheat Sheet Allows attaching low-cost GPU-powered inference acceleration to EC2 instances, SageMaker instances, or ECS tasks. Reduce machine learning inference costs by up to 75%. Common Use Cases Computer vision Natural language processing Speech recognition Concepts Accelerator A GPU-powered hardware device provisioned.  It is not a part of the hardware where your instance is hosted. Uses AWS PrivateLink endpoint service to attach to the instance over the network. Only a single endpoint service is required in every Availability Zone to connect Elastic Inference accelerator to instances. Features Supports TensorFlow, Apache MXNet, PyTorch, and ONNX models. Can provide [...]

Amazon Elastic Inference2024-11-14T05:29:14+00:00

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