Chapter 1 Flashcards
Machine Learning Type Models Four Types
regression, classification, clustering, anomaly detection
regression machine learning
predicts values from historical data
classification machine learning
classifies images or predicts between several distinct categories
clustering machine learning
discovers structures in data, identifying groups based on similarities in the data
anomaly detection
Finds unusual occurrences or events in time-series data. Anomaly detection can identify outliers in the data.
AI workloads
prediction, anomaly detection, computer vision, natural language processing, knowledge mining, conversational AI
prediction
model that predicts outcomes for new data. Based on regression, classification, and clustering algorithm.
computer vision
analysis of images and video to extract information that can be used by computers.
natural language processing
analysis of speech and text to extract the meaning and intent of words in a way that can be used by computers.
conversation AI
used to create applications where AI agents engage humans in conversations
knowledge mining
uses a combination of AI services to extract meaning and relationship from large amounts of information. Uncovers hidden insights in your data.
responsible AI
use of AI in solutions without having unintended negative impacts
fairness
AI-based systems should treat all people fairly and reduce bias
reliability & safety
requires rigorous testing of AI-based systems to eliminate harm to human life
privacy & security
AI-based systems should be secure and respect privacy of personal data
inclusiveness
AI-based solutions should empower everyone and supply benefits to all parts of society, regardless of any characteristics or factors
transparency
AI-based solutions should be understandable, or interpretable. Requires AI-based systems have a have a defined purpose and scope and are clear on the limitations of the AI in the solution.
accountability
everyone at every stage in the development of AI-based systems is accountable for the impact that system may have
artificial intelligence
mimics the human brain and uses machines to complete complex tasks that humans find difficult to do
machine learning
uses algorithms to discover patterns and structures in existing data, building a model that can be used to take actions (like classify and predict) on unseen data
cognitive services
a set of prebuilt AI models, trained by Microsoft, that you can use without being a data scientist to add intelligence into your applications
Azure Machine Learning
a set of tools and services that you can use to create custom AI models using your own data
Azure Bot Service
allows you to build and deploy chatbots and intelligence agents
