*Machine Learning* Flashcards
Amazon Augmented AI
Amazon Augmented AI (Amazon A2I) is a machine learning service which makes it easy to build the workflows required for human review.
Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers whether it runs on AWS or not.
Amazon CodeGuru
Amazon CodeGuru is a developer tool that provides intelligent recommendations to improve code quality and identify an application’s most expensive lines of code.
Integrate CodeGuru into your existing
software development workflow to automate code reviews during application development and continuously monitor application’s performance in production and provide recommendations and visual
clues on how to improve code quality, application performance, and reduce overall cost.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.
As it turns out, Machine learning
is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost
limitless scale.
Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text files by topic.
Amazon DevOps Guru
Amazon DevOps Guru is a Machine Learning (ML) powered service that makes it easy to improve an application’s operational performance and availability.
DevOps Guru detects behaviors that deviate
from normal operating patterns so you can identify operational issues long before they impact your customers.
DevOps Guru uses machine learning models informed by years of Amazon.com and AWS operational excellence to identify anomalous application behavior (e.g. increased latency, error rates, resource constraints, etc.) and surface critical issues that could cause potential outages or service disruptions.
When DevOps Guru identifies a critical issue, it automatically sends an alert and provides a summary of related anomalies, the likely root cause, and context about when and where the issue occurred, and provides recommendations on how to remediate the issue.
Amazon Elastic Inference
Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%.
Amazon Elastic Inference supports TensorFlow, Apache MXNet, PyTorch, and ONNX models.
Choose the instance type that is best suited to the overall CPU and memory needs of your application, and then separately configure the amount of inference acceleration that you need to use resources efficiently and to reduce the cost of running inference
Amazon Forecast
Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.
Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast
will produce a forecasting model capable of making predictions that are up to 50% more accurate than looking at time series data alone.
You pay only for what you use, and there are no minimum fees and no upfront commitments.
Amazon Fraud Detector
Amazon Fraud Detector is a fully managed service that uses machine learning (ML) and more than 20 years of fraud detection expertise from Amazon, to identify potentially fraudulent activity so customers can catch more online fraud faster.
Amazon Fraud Detector automates the time consuming and expensive steps to build, train, and deploy an ML model for fraud detection.
Pay only for what you use, avoiding large upfront expenses.
Amazon HealthLake
Amazon HealthLake is a HIPAA-eligible service that healthcare providers, health insurance companies, and pharmaceutical companies can use to store, transform, query, and analyze large-scale health data.
Healthcare providers can use HealthLake to store, transform, query, and analyze data in the AWS Cloud. Using the HealthLake integrated medical natural language processing (NLP) capabilities, you can analyze unstructured clinical text from diverse sources.* HealthLake transforms unstructured data using natural language processing models, and *provides powerful query and search capabilities. You can use HealthLake to organize, index, and structure patient information in a secure, compliant, and auditable manner.
Amazon Kendra
Amazon Kendra is an intelligent search service powered by machine learning.
Amazon Kendra is a fully managed service, so there are no servers to provision, and no machine learning models to build, train, or deploy.
Amazon Lex
Amazon Lex is a service for building conversational interfaces into any application using voice and text.
Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
Amazon Lookout for Equipment
Amazon Lookout for Equipment analyzes the data from the sensors on your equipment (e.g. pressure in a generator, flow rate of a compressor, revolutions per minute of fans), to automatically train a machine learning model based on just your data, for your equipment – with no ML expertise required.
Lookout for Equipment uses your unique ML model to analyze incoming sensor data in real-time and accurately identify early warning signs that could lead to machine failures.
Amazon Lookout for Metrics
Amazon Lookout for Metrics uses machine learning (ML) to automatically detect and diagnose anomalies (i.e. outliers from the norm) in business and operational data, such as a sudden dip in sales revenue
or customer acquisition rates.
Amazon Lookout for Metrics a_utomatically inspects and prepares the data from sources to detect anomalies with greater speed and accuracy than traditional methods_ used for anomaly detection.
Amazon Lookout for Vision
Amazon Lookout for Vision is a machine learning (ML) service that spots defects and anomalies in visual representations using computer vision (CV).
Amazon Lookout for Vision allows customers to eliminate the need for costly and inconsistent manual inspection, while improving quality control, defect and damage assessment, and compliance.
Amazon Monitron
Amazon Monitron is an end-to-end system that uses machine learning (ML) to detect abnormal behavior in industrial machinery, enabling you to implement predictive maintenance and reduce unplanned
downtime.
Amazon Monitron includes sensors to capture vibration and temperature data from equipment, a gateway device to securely transfer data to AWS, the Amazon Monitron service that a_nalyzes the data for_
abnormal machine patterns using machine learning, and a companion mobile app to set up the devices and receive reports on operating behavior and alerts to potential failures in your machinery.
Amazon Personalize
Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.
With Amazon Personalize, you provide an activity stream from your application – page views, signups, purchases, and so forth – as well as an inventory of the items you want to recommend, such as articles, products, videos, or music.
You can also choose to provide Amazon Personalize with additional demographic information from your users such as age, or geographic location. Amazon Personalize will process and examine the data, identify what is meaningful, select the right algorithms, and train and optimize a personalization model that is customized for your data. All data analyzed by Amazon Personalize is kept private and secure, and only used for your customized recommendations.
You pay only for what you use, and there are no minimum fees and no upfront commitments.
Amazon Polly
Amazon Polly is a service that turns text into lifelike speech.
Polly lets you create applications that talk, enabling you to build entirely new categories of speech-enabled products.
Polly is an Amazon artificial intelligence (AI) service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.
Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. Identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content.
Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
Amazon SageMaker
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models
Amazon SageMaker Ground Truth
Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly.
SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.
Lower your labeling costs by up to 70% using automatic labeling, which works by training
Ground Truth from data labeled by humans so that the service learns to label data independently. Amazon SageMaker Ground Truth significantly reduces the time and effort required to create datasets for training to reduce costs. SageMaker Ground Truth can label more and more data automatically and substantially speed up the creation of training datasets.
Amazon Textract
Amazon Textract is a service that automatically extracts text and data from scanned documents.
Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Amazon Textract uses machine learning to instantly “read” virtually any type of document to accurately extract text and data without the need for any manual effort or custom code.
Create smart search indexes, build automated approval workflows, and better maintain compliance with document archival rules by flagging data that may require redaction.
Amazon Transcribe
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications.
Using the Amazon Transcribe API, you can analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech. You can also send a live audio stream to Amazon Transcribe and receive a stream of transcripts in real time.
Amazon Transcribe can be used for lots of common applications, including the transcription of customer service calls and generating subtitles on audio and video content. The service can transcribe audio files stored in common formats, like WAV and MP3, with time stamps for every word so that you can easily locate the audio in the original source by searching for the text.
Amazon Translate
Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation.
- Neural machine translation is a form of language translation automation that uses*
- deep learning models to deliver more accurate and more natural sounding translation than traditional statistical and rule-based translation algorithms.*
Amazon Translate allows you to localize content - such as websites and applications - for international users, and to easily translate large volumes of text efficiently.
Apache MXNet on AWS
Apache MXNet on AWS is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning.
MXNet includes the Gluon interface that allows developers of all skill levels to get started with deep learning on the cloud, on edge devices, and on mobile apps. In just a few lines of Gluon code, you can build linear regression, convolutional networks and recurrent LSTMs for object detection, speech
recognition, recommendation, and personalization.
You can get started with MxNet on AWS with a fully-managed experience using SageMaker, a platform to build, train, and deploy machine learning models at scale. Or, you can use the AWS Deep Learning AMIs to build custom environments and workflows with MxNet as well as other frameworks including TensorFlow, PyTorch, Chainer, Keras, Caffe, Caffe2, and Microsoft Cognitive Toolkit.
AWS Deep Learning AMIs
The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.
Quickly launch Amazon EC2 instances pre-installed with popular deep learning frameworks such as Apache MXNet and
Gluon, TensorFlow, Microsoft Cognitive Toolkit, Caffe, Caffe2, Theano, Torch, PyTorch, Chainer, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques.
