microsoft ai

what is AI?

Machine Learning, Computer Vision, Natural Language Processing, Document Intelligence, Knowledge Mining, and Generative AI are all what?

This is often the foundation for an AI system, and is the way we 'teach' a computer model to make predictions and draw conclusions from data?

capabilities within AI to interpret the world visually through cameras, video, and images?

capabilities within AI that deal with managing, processing, and using high volumes of data found in forms and documents?

capabilities within AI to extract information from large volumes of often unstructured data to create a searchable knowledge store?

capabilities within AI that create original content in variety of formats including natural language, image, code and more?

machine learning is the _______ for most AI solutions?

this is a cloud-based platform for creating, managing, and publishing machine learning models?

this is a part of the azure machine learning studio that allows non-experts to quickly create an effective machine learning model from data?

this is a part of the azure machine learning studio that is a graphical interface enabling no-code development of machine learning solutions?

this is a part of the azure machine learning studio that allows people to analyze and optimize your experiments with visualizations

this is a part of the azure machine learning studio that allows you to write and run your own code in managed jupyter notebook servers that are directly integrated into the studio

what is the area of AI that deals with visual processing?

computer vision tasks include?

this involves training a MLM to classify images based on their content?

these MLMs are trained to classify individual objects within an imager, and identify their location within a bounding box?

this is an advanced machine learning technique in which individual pixels in the image are classified according to the object to which they belong?

this allows you to create solutions that combine MLMs advanced image analysis techniques to extract info from images, including 'tags' that could help catalog the image or descriptive caption that summarizes the scene shown in image?

this is a specialized form of object detection that locates human faces in an image?

this is a technique used to detect and read text in images, you can sue this to read text in photos or to extract info from scanned documents, letters, invoices or forms

what azure service can you use to devlop computer vision solutions?

this is the environment where you can test azure ai vision

azure ai vision includes

in azure you can use this to build face detection and recognition solutions

enables you to create software that can:
analyze and interpret text in documents, email messages, and other sources.
interpret spoken language and synthesize speech responses
automatically translate spoken or written phrases between languages
interpret commands and determine appropriate actions

you can use what in microsoft azure to build natural language processing solutions?

to build NLP solutions including speech recognition and synthesis, real-time translations, conversations transcriptions and more in azure?

this is an area of ai that deals with managing, processing, and using high volumes of variety of data found in forms and documents?

azure ai document intelligence is what?

this is used to describe solutions that involve extracting information from large volumes of often unstructured data to create searchable knowledge stores?

azure ai search is what?

this describes a category of capabilities within ai that create original content

generative ai takes natural langauge input and returns appropriate response in what format?

azure open ai services is what?

you can use ______ to create generative ai solutions?

what are the 6 criteria for responsible ai?

what is machine learning?

a MLM includes a ______ to calculate an output value based on one or more input values

the process of defining a function is known as ______

after a function has been defined you can use it to predict new vales in a process called?

the training data consists of _____ observations

__________ include the observed attribute of feature of the thing being observed and the known value of the thing you want to train a model to predict is called ____

features =

label =

function =

once the training is completed the trained model can be used for ___

what are the type of machine learning?

what is the subsets of supervised machine learning?

what are the components of classification machine learning?

what is a general term for machine learning algorithms in which training data includes both feature values and known label values?

supervised machine learning is also used to do what?

what is regression?

what is classification?

what is binary classification?

what is multiclass classification?

this involves training models using data that consists only of feature values without any known labels.
determines the relationships between the features of the observations in the training data

what is the most common form of unsupervised machine learning? this type of algorithm identifies similarities between observations based on their features and groups them into discrete ______

these models are trained to predict numeric label values based on training data that includes both features and known labels

this is a classification like regression, is supervised machine learning technique; and therefore, follows the same integrative process of training, validating, and evaluating, numeric values like a regression model, the algorithms used to train classification modes calculate probability values for class assignments and evaluation metrics used to assess model performance the predicted classes to the actual classes.

this is used to predict to which of multiple possible classes on observation belongs. it follows the same iterative train, validate, and evaluate process as regression and binary classification in which a subset of the training data is held back to validate the trained models