UiPath-SAIv1 Exam Dumps : UiPath Certified Professional Specialized AI Professional v1.0

A sub-field of artificial intelligence that enables systems to learn from data.

Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.

The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.

A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.

An area of machine learning concerned with artificial neural networks.

These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.

Analyzing processes to determine optimal automation solutions.

Developing automation workflows in UiPath Studio.

Running, managing, and organizing automation workflows on the user's machine.

Scheduling and monitoring robot processes in Orchestrator.

To select which extractors are trained for each document type and field.

To present a document processing specific user interface for validating and correcting automatic classification outputs.

To create and edit a Taxonomy file specific to the current automation project.

To select the type of ML that can be used in the project.