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Machine Learning Choices

1. AWS​

  • Amazon SageMaker: Provides end-to-end machine learning workflows to build, train, and deploy models at scale.
  • Amazon Rekognition: Deep learning-based image and video analysis service.
  • Amazon Comprehend: Natural language processing service that can identify the language of a text, extract key phrases, and more.
  • Amazon Lex: Service for building conversational interfaces.
  • Amazon Polly: Text-to-speech service.

2. Azure​

  • Azure Machine Learning: Provides a cloud-based environment you can use to develop, train, test, deploy, manage, and track machine learning models.
  • Azure Cognitive Services: A suite of pre-built APIs that enable developers to add intelligent features to their applications.
  • Azure Databricks: A fast, easy, and collaborative Apache Spark-based analytics platform.
  • Azure Custom Vision: A cloud-based service that lets you build, deploy, and improve your own image classifiers.
  • Azure Bot Service: A cloud-based service for building and deploying intelligent bots.

3. GCP​

  • Cloud AutoML: Offers a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs.
  • Cloud AI Platform: Offers a wide range of tools for building, training, and deploying machine learning models.
  • Cloud Vision API: Provides powerful and easy-to-use image analysis capabilities that can detect objects, faces, and even text within an image or video.
  • Cloud Speech-to-Text: Converts audio to text using deep neural networks.
  • Cloud Translation: Translates text from one language to another.

4. 3rd Party​

  • TensorFlow: An open-source machine learning framework.
  • H2O.ai: Provides a platform for building and deploying machine learning models.
  • IBM Watson: Offers a suite of AI tools and services, including natural language processing, computer vision, and speech-to-text capabilities.
  • DataRobot: Offers an automated machine learning platform that lets you build and deploy accurate predictive models quickly.
  • RapidMiner: Provides an end-to-end data science platform that lets you build and deploy machine learning models.

Types of Machine Learning Apps and AWS Services​

Image and video recognition​

  • Amazon Rekognition is a service that can analyze and recognize faces, objects, and activities in images and videos.
  • Azure: Azure Cognitive Services Computer Vision can analyze images and detect objects, faces, and text. Content Moderator can detect inappropriate content in images and videos.
  • GCP: Google Cloud Vision can analyze images and detect objects, faces, and text.
  • 3rd party: Syte, V7, Clarifai, Microsoft Computer Vision API, SuperAnnotate, Dataloop, Vue.ai, OpenCV, Encord, IBM Watson Visual Recognition and Labelbox are image annotation tools.

Speech recognition​

  • Amazon Transcribe is a service that can convert speech to text, and Amazon Polly is a service that can convert text to lifelike speech.
  • Azure: Azure Cognitive Services Speech Services can convert speech to text and text to speech.
  • GCP: Google Cloud Speech-to-Text can convert speech to text.
  • 3rd party: Speechmatics is a cloud-based speech recognition service.

Natural language processing​

  • Amazon Comprehend is a service that can extract insights and relationships from text data, and Amazon Lex is a service that can build conversational interfaces using natural language understanding.
  • Azure: Azure Cognitive Services Language can extract insights and relationships from text data and build conversational interfaces using natural language understanding.
  • GCP: Google Cloud Natural Language can extract insights and relationships from text data and build conversational interfaces using natural language understanding.
  • 3rd party: spaCy is an open-source natural language processing library.

Fraud detection​

  • Amazon Fraud Detector is a service that uses machine learning to identify potentially fraudulent activities and transactions.
  • Azure: Azure Machine Learning can be used to build fraud detection models.
  • GCP: Google Cloud Fraud Detection.
  • 3rd party: DataVisor is an AI-powered fraud detection platform.

Recommendation engines​

  • Amazon Personalize is a service that can build real-time recommendations for products, content, and marketing.
  • Azure: Azure Machine Learning can be used to build personalized recommendation models.
  • GCP: Google Cloud Recommendations AI can generate real-time product recommendations for users.
  • 3rd party: Hugging Face is a natural language processing library that includes pre-trained recommendation models.

Text-to-speech​

  • Amazon Polly is a service that can convert text to lifelike speech.
  • Azure: Azure Cognitive Services Speech Services can convert text to speech.
  • GCP: Google Cloud Text-to-Speech can convert text to speech.

Sentiment analysis​

  • Amazon Comprehend is a service that can analyze text data to determine sentiment and identify key phrases and entities.
  • Azure: Azure Cognitive Services Text Analytics can analyze text data to determine sentiment and identify key phrases and entities.
  • GCP: Google Cloud Natural Language can analyze text data to determine sentiment and identify key phrases and entities.
  • 3rd party: MonkeyLearn is a machine learning platform for text analysis.

Forecasting​

  • Amazon Forecast is a service that can generate accurate forecasts for time-series data.
  • Azure: Azure Machine Learning can be used to build forecasting models for time-series data.
  • GCP: Google Cloud AutoML can generate accurate forecasts for time-series data.
  • 3rd party: Prophet is a time-series forecasting tool developed by Facebook.

Personalization​

  • Amazon Personalize is a service that can create real-time personalized recommendations for users based on their past behavior and preferences.
  • Azure: Azure Machine Learning can be used to build personalized recommendation models.
  • GCP: Google Cloud Recommendations AI can generate real-time personalized recommendations for users.
  • 3rd party: Segment is a customer data platform that can be used for personalization and targeted marketing.

Chatbots​

  • Amazon Lex is a service that can build conversational interfaces using natural language understanding, and Amazon Connect is a cloud-based contact center service that can use chatbots to interact with customers.
  • Azure: Azure Bot Service can be used to build and deploy conversational chatbots.
  • GCP: Google Dialogflow can be used to build and deploy conversational chatbots.
  • 3rd party: Rasa is an open-source chatbot framework for building and deploying conversational chatbots.

Anomaly detection​

  • AWS: Amazon SageMaker can be used to build anomaly detection models for detecting unusual patterns or data points.
  • Azure: Azure Machine Learning can be used to build anomaly detection models for identifying unusual data points.
  • GCP: Google Cloud Anomaly Detection can identify anomalies in time series data.
  • 3rd party: Anodot is a real-time anomaly detection platform for business metrics.

Object detection and tracking​

  • AWS: Amazon Rekognition can detect and track objects in images and videos.
  • Azure: Azure Cognitive Services Computer Vision can be used to detect and track objects in images and videos.
  • GCP: Google Cloud Vision can be used to detect and track objects in images and videos.
  • 3rd party: OpenCV is an open-source computer vision library that includes object detection and tracking capabilities.

Machine learning for gaming​

  • AWS: Amazon Game Tech offers a suite of machine learning tools for game developers, including GameLift, which provides managed game servers and player matchmaking, and GameAnalytics, which offers real-time analytics and player insights.
  • Azure: Azure PlayFab provides backend services for game developers, including analytics and player management tools.
  • GCP: Google Cloud Game Servers offers managed game servers and player matchmaking.
  • 3rd party: Unity Technologies offers machine learning tools and services for game developers.

Generative models​

  • AWS: Amazon SageMaker can be used to train generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
  • Azure: Azure Machine Learning can be used to train generative models, such as GANs and VAEs.
  • GCP: Google Cloud AI Platform can be used to train generative models, such as GANs and VAEs.
  • 3rd party: OpenAI offers a suite of machine learning tools and services, including GPT-3, a language model that can generate human-like text.

Medical image analysis​

  • AWS: Amazon SageMaker can be used to build models for medical image analysis, such as detecting cancerous cells or diagnosing diseases.
  • Azure: Azure Healthcare APIs offer machine learning tools and services for medical image analysis, such as identifying abnormalities in radiology images.
  • GCP: Google Cloud Healthcare offers machine learning tools and services for medical image analysis, such as identifying abnormalities in radiology images.
  • 3rd party: Arterys is a cloud-based medical imaging platform that includes machine learning tools for analyzing medical images.