Ends in
00
days
00
hrs
00
mins
00
secs
ENROLL NOW

Get any AWS Specialty Mock Test for FREE when you Buy 2 AWS Pro-Level Practice Tests – as LOW as $10.49 USD each ONLY!

AWS Machine Learning & AI

Home » AWS Cheat Sheets » AWS Machine Learning & AI

Amazon SageMaker Data Wrangler

2024-10-03T13:28:49+00:00

Amazon SageMaker Data Wrangler Cheat Sheet Amazon SageMaker Data Wrangler streamlines data preparation and feature engineering for machine learning.  Amazon SageMaker Data Wrangler is a feature in Amazon SageMaker Studio Classic. It integrates data from various sources, allows you to explore, clean, transform, and visualize data, and automates these steps in your machine-learning workflow. Amazon SageMaker Data Wrangler Core Functionalities Data Wrangler provides core functionalities to facilitate data analysis and preparation in machine learning. Import Easily access and import data stored in cloud-based data warehouses and data lakes, such as Amazon S3, Athena, Redshift, Snowflake, and Databricks. The dataset you import [...]

Amazon SageMaker Data Wrangler2024-10-03T13:28:49+00:00

Amazon SageMaker Feature Store

2024-09-20T07:08:44+00:00

Amazon SageMaker Feature Store Cheat Sheet Amazon SageMaker Feature Store is a centralized repository for managing machine learning features. It simplifies the process of data exploration, model training, and batch predictions by providing a unified view of your features. Enhances ML model development and deployment efficiency. How does it work? SageMaker Feature Store stores features in feature groups. A feature group is a collection of related features that can be used for a specific task. Feature groups can be created from various data sources, such as Amazon S3, Amazon RDS, and Amazon DynamoDB. There are three modes that a feature [...]

Amazon SageMaker Feature Store2024-09-20T07:08:44+00:00

Introducing Amazon Bedrock – AWS response for OpenAI’s DALL·E 2, ChatGPT-4 and other Generative AI Rivals

2023-04-16T00:55:22+00:00

There's no denying that all major tech companies now are on their toes, trying to grab enough Artificial Intelligence (AI) market share which has been exponentially growing for the past several years. The race has been further highlighted when OpenAI released its game-changing ChatGPT service which spread like wildfire for both geeks and non-IT professionals alike.  Based on various reports, it is set to boom into a $90 billion industry by 2025 or even more. What is Amazon Bedrock? Amazon Bedrock is the latest machine learning platform that was released by Amazon Web Services(AWS) that enables users an easy way [...]

Introducing Amazon Bedrock – AWS response for OpenAI’s DALL·E 2, ChatGPT-4 and other Generative AI Rivals2023-04-16T00:55:22+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

2024-11-14T06:00:03+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 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 set [...]

Amazon SageMaker2024-11-14T06:00:03+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

Amazon Polly

2024-11-14T05:50:57+00:00

Bookmarks Common use cases Concepts Features Pricing Validate Your Knowledge Amazon Polly Cheat Sheet A text-to-speech (TTS) service Uses advanced deep learning technologies to convert text into natural, lifelike speech It supports saving text into MP3, OGG, and PCM file formats. Offers Standard and Neural TTS (NTTS) Common Use Cases Increase customer engagement Language learning applications Helps visually impaired individuals to consume digital content Testing in-game dialogs Voice response Concepts Speech Synthesis Markup Language (SSML) Uses XML-based tags to modify different aspects of the text-to-speech output. Can control pitch, speaking style, speech [...]

Amazon Polly2024-11-14T05:50:57+00:00

Amazon Transcribe

2024-11-14T06:02:04+00:00

Amazon Transcribe Cheat Sheet A fully managed automatic speech recognition (ASR) service. Converts speech into text. It supports a wide variety of audio coding formats such as WAV, MP3, MP4, FLAC, AMR, AMR-WB, Ogg, and WebM. It can process batch and streaming transcriptions. Common Use Cases Transcribing customer calls Meeting transcription Closed captioning Generating metadata to create a searchable archive Concepts A confidence score is between 0 and 100, indicating the probability that a given prediction is correct. Low-fidelity (lo-fi) is a term used to describe audio recordings that exhibit poor sound quality. The term high-fidelity refers to high-quality audio [...]

Amazon Transcribe2024-11-14T06:02:04+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!