13. Machine Learning

AWS DeepLens

AWS DeepLens ("Camera") helps put deep learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

AWS DeepRacer

1. AWS DeepRacer ("Reinforcement") is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). 2. With AWS DeepRacer, you now have a way to get hands-on with RL, experiment, and learn through autonomous driving. 3. You can get started with the virtual car and tracks in the cloud-based 3D racing simulator, and for a real-world experience, you can deploy your trained models onto AWS DeepRacer and race your friends.

AWS Inferentia

1. AWS Inferentia ("Chip") is a machine learning inference chip designed to deliver high performance at low cost. 2. AWS Inferentia will support the TensorFlow, Apache MXNet, and PyTorch deep learning frameworks, as well as models that use the ONNX format. 3. AWS Inferentia provides high throughput, low latency inference performance at an extremely low cost. 4. Each chip provides hundreds of TOPS (tera operations per second) of inference throughput to allow complex models to make fast predictions

Amazon Comprehend

1. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text and unstructured data. 2. No machine learning experience required. 3. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. 4. 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. 5. You can also use AutoML capabilities in Amazon Comprehend to build a custom set of entities or text classification models that are tailored uniquely to your organization's needs.

Amazon Elastic Inference

1. Amazon Elastic Inference ("GPU") allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and SageMaker instances to reduce the cost of running deep learning inference by up to 75%. 2. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon. 3. Amazon Elastic Inference solves these problems by allowing you to attach just the right amount of GPU-powered inference acceleration to any EC2 or SageMaker instance type with no code changes. 4. With Amazon Elastic Inference, you can now choose the instance type that is best suited to the overall CPU and memory needs of your application. 5. You can separately configure the amount of inference acceleration that you need to use resources efficiently and to reduce the cost of running inference.

Amazon Lex

1. Amazon Lex ("Alexa") is a service for building conversational interfaces into any application using voice and text. 2. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text. 3. It also provides natural language understanding (NLU) to recognize the intent of the text and enable you to build applications with highly engaging user experiences and lifelike conversational interactions.

Amazon Personalize

1. Amazon Personalize ("Individual") is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications. 2. Amazon Personalize allows developers with no prior machine learning experience to easily build sophisticated personalization capabilities into their applications, using machine learning technology perfected from years of use on Amazon.com.

Amazon Polly

1. 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. 2. Polly is an Amazon artificial intelligence (AI) service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice. 3. Polly includes 47 lifelike voices spread across 24 languages, so you can select the ideal voice and build speech-enabled applications that work in many different countries.

Amazon Rekognition

1. Amazon Rekognition ("Images") is a service that makes it easy to add image analysis to your applications. 2. With Rekognition, you can detect objects, scenes, and faces in images and can also search and compare faces. 3. The Amazon Rekognition API enables you to quickly add sophisticated deep-learning-based visual search and image classification to your applications.

Amazon Textract

1. Amazon Textract is a service that automatically extracts text and data from scanned documents. 2. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables. 3. Amazon Textract overcomes these challenges by using 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.

Amazon Transcribe

1. Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. 2. 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. 3. You can also send a live audio stream to Amazon Transcribe and receive a stream of transcripts in real time.

Amazon Translate

1. Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation using neural machine translation. 2. Amazon Translate allows you to localize content (such as websites and applications) for international users, and to easily and efficiently translate large volumes of text.

Apache MXNet on AWS

1. Apache MXNet ("Framework") on AWS is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning. 2. 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.

Amazon Forecast

1. Based on the same technology used at Amazon.com, Amazon Forecast ("Time") is a fully-managed service that uses machine learning to combine time series data with additional variables to build forecasts. 2. Amazon Forecast requires no machine learning experience to get started. 3. You only need to provide historical data, plus any additional data that you believe may impact your forecasts.

SageMaker

1. SageMaker ("Become Sage") is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. 2. SageMaker removes all the barriers that typically slow down developers who want to use machine learning. 3. SageMaker removes the complexity that holds back developer success with each of these steps. 4. SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models.

SageMaker Ground Truth

1. SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. 2. 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. 3. Additionally, SageMaker Ground Truth can 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.

TensorFlow on AWS

1. TensorFlow™ ("Deep Start") enables developers to quickly and easily get started with deep learning in the cloud. 2. The framework has broad support in the industry and has become a popular choice for deep learning research and application development, particularly in areas such as computer vision, natural language understanding and speech translation.

Amazon Deep Learning AMIs

1. The Amazon Deep Learning AMIs ("Accelerate") provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale. 2. You can 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. 3. These EC2 instances can be used to train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques.