AWS Machine Learning - SageMaker, Comprehend & More

Amazon SageMaker

SageMaker is a fully-managed service that gives one the ability to build quickly, train, and deploy machine learning models. It covers the entire machine learning workflow of machine learning in its entirety. SageMaker labels and prepares your data, chooses an algorithm, trains the model, tunes and optimizes it for deployment, makes predictions, and takes action.

Amazon Comprehend

This is a natural language processing (NLP) service that requires no machine learning experience. It uses machine learning to find insights and relationships in a text and to help uncover insights into your data.
This service can do the following:

• Identify the language of the text
• Extract keywords, places, people, brands, or events
• Understands if the text is positive or negative
• Analyzes text
• Automatically organizes text files by topic

Besides, you can also use AutoML capabilities in Amazon Comprehend to build entities or models that are tailored uniquely to your organization's needs.

Amazon Lex

This is a service for building conversational interfaces into any application using voice and text. Lex converts speech to text using automatic speech recognition (ASR), recognizes the intent of the text using natural language understanding (NLU). This functionality will enable you to build applications with highly engaging user experiences and lifelike conversational interactions. Amazon Lex, a fully managed service, scales automatically, so there is no infrastructure management.

Amazon Polly

This is a service that turns text into lifelike speech. Polly allows your organization to create applications that talk and build entirely new categories of speech-enabled products. It is a Text-to-Speech service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.

Amazon Rekognition

This makes it easy to add image and video analysis to your applications. The Rekognition API can identify the objects, people, text, scenes, and activities, as well as to detect any inappropriate content. Also, it provides facial analysis and recognition of images and videos. It is a simple and easy to use API that can quickly analyze any image or video file stored in Amazon S3.

Amazon Translate

This makes it easy to add image and video analysis to your applications. The Rekognition API can identify the objects, people, text, scenes, and activities, as well as to detect any inappropriate content. Also, it provides facial analysis and recognition of images and videos. It is a simple and easy to use API that can quickly analyze any image or video file stored in Amazon S3.

Amazon Transcribe

Transcribe is an easy to use automatic speech recognition (ASR) service that allows speech to text capabilities to your developers' applications. The capabilities are in real-time and provide you with a transcribed speech or transcripts. It can be used for common applications, including the transcription of customer service calls and generating subtitles on audio and video content. Also, the service can transcribe audio files stored in common formats, like WAV and MP3, with timestamps for every word so that you can easily locate the audio in the source by searching for the text.

AWS DeepLens

Transcribe is an easy to use automatic speech recognition (ASR) service that allows speech to text capabilities to your developers' applications. The capabilities are in real-time and provide you with a transcribed speech or transcripts. It can be used for common applications, including the transcription of customer service calls and generating subtitles on audio and video content. Also, the service can transcribe audio files stored in common formats, like WAV and MP3, with timestamps for every word so that you can easily locate the audio in the source by searching for the text.

AWS Deep Learning AMIs

This provides the infrastructure and tools needed to accelerate machine learning.

Apache MXNet on AWS

This is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning. It includes the Gluon interface.

TensorFlow on AWS

This is a market leader for deep learning research and application development for machine learning, especially for computer vision, natural language understanding, and speech translation.

Amazon Personalize

This service provides an easy way to create a recommendation for customers using their applications. Novice developers can easily build sophisticated personalization capabilities into their applications.
Amazon Personalize will do the following:

• Process and examine data
• Identify the important data
• Select the right algorithms
• Train and optimize a custom model for the data.

Amazon Forecast

This is a fully managed service that uses machine learning to deliver highly accurate forecasts. It uses machine learning to combine time series data with additional variables to build forecasts. It requires no machine learning experience to get started. Also, you only need to provide historical data, plus any additional data that you believe may impact your forecasts.

Amazon Inferentia

This is a machine learning inference chip designed to deliver high performance. It provides high throughput, low latency inference performance at a little cost.

Amazon SageMaker Ground Truth

This helps you build highly accurate training datasets for machine learning quickly. It offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Also, it significantly reduces the time and effort required to create datasets for training to reduce costs.

AWS DeepRacer

This is the first autonomous scale car specifically developed to help developers get hands-on with reinforcement learning. It gives developers a simple way to learn, experiment, and experience RL in the real world.

AWS Deep Learning Containers

This allows you to deploy machine learning environments quickly with pre-installed docker images. The docker images can run consistently in multiple environments.

Machine Learning

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