Get started with AI
Anomaly detection
A ML based technique that analyse data over time and identifies unusual changes.
Azure ML designer
A graphical interface enabling no-code development of ML solutions
Computer vision: Semantic segmentation
Advanced ML technique where individual pixels in the image are classified according to the object to which they belong.
Computer vision: Image analysis
Can create solutions that combine ML models with advanced image analysis techniques to extract info from images, including tags. Can help catalogue the image.
Computer vision
Can use this service to analyse images, and video, and extract descriptions, tags, objects, and text
AI: Natural programming language
Capability for a computer to interpret written/ spoken language and respond in kind
AI: Computer vision
Capability of software to interpret the world visually through cameras, videos, and images
AI: Knowledge mining
Capability to extract info from large volumes of often unstructured data to create a searchable knowledge store.
Data and compute management
Cloud-based data storage and compute resources that professional data scientists can use to run data experiment code at scale
Pipelines
Data scientists, software engineers, IT professionals can define pipelines to orchestrate model training, deployment, and management tasks
Automated ML
Enabled non-experts to quickly create an effective ML model from data
Computer vision: Face
Enabled you to build face detection and facial solutions
What are the key workloads of AI?
ML Anomaly detection Computer vision Natural programming language Knowledge mining
Computer vision: Face detection, analysis and recognition
Specialised form of object detection that locates human face. Can be combined with classification and facial geometry to recognise individuals based on facial features.
Computer vision: OCR (optical character recognition)
Technique used to detect and read text in images.
AI: Anomaly detection
The capability to automatically detect errors or unusual activity in a system
AI
The creation of software that imitates human behaviours and capabilities
AI: ML
The way we 'teach' a computer model to make prediction and draw conclusions from the data
Computer vision: Object detection
Trained to classify individual objects within an image, and identify their location with a bounding box.
Computer vision: Image classification
Training a ML model to classify imaged based on their contexts.
Computer vision: Custom vision
Use this service to train custom image classification and object detection models using your own images.
Computer vision: Form recogniser
Use this to extract info from scanned forms and invoices
