AI FUNDAMENTALS
This general concept refers to machines acting in a way that simulates or mimics human intelligence.
What is Artificial Intelligence?
This subset of AI focuses on developing algorithms that help machines learn and change in response to new data, without human help.
What is Machine Learning?
A collection of related data points, usually with a uniform order and tags.
What is a Dataset?
A program designed to communicate with people through text or voice commands in a way that mimics human conversation.
What is a Chatbot?
This type of AI could successfully do any intellectual task that can be done by any human being.
What is General AI (or Strong AI)?
A set of rules that a machine can follow to learn how to do a task.
What is an Algorithm?
A function of artificial intelligence that imitates the human brain by learning from the way data is structured, rather than from a programmed algorithm.
What is Deep Learning?
This refers to all the data used during the process of training a machine learning algorithm.
What is Training Data?
The umbrella term for any machine’s ability to perform conversational tasks, such as recognizing what is said to it and understanding meaning.
What is Natural Language Processing (NLP)?
A model that has a set range of skills and focuses on one particular set of tasks, representing most AI currently in use.
What is Weak AI (or Narrow AI)?
This term describes a machine that can perform its tasks without needing human intervention.
What is Autonomous?
This is a type of machine learning where structured datasets, with inputs and labels, are used to train and develop an algorithm.
What is Supervised Learning?
The unlabeled data used to check that a machine learning model is able to perform its assigned task.
What is Test Data?
Commonly used in image or video tagging, this is an imaginary box drawn on visual information. The contents are labeled to help a model recognize it.
What is a Bounding Box?
Named after Alan Turing, this tests a machine’s ability to pass for a human, particularly in the fields of language and behavior.
What is the Turing Test?
This interdisciplinary field draws from statistics, computer science, and information science to solve problems involving data.
What is Data Science?
This is a form of training where the algorithm is asked to make inferences from datasets that don’t contain labels.
What is Unsupervised Learning?
Assumptions made by a model that simplify the process of learning, which can negatively affect results if too high.
What is Bias?
This specialized processor is designed to accelerate artificial intelligence workloads, particularly neural networks, in devices.
What is a Neural Processing Unit (NPU)?
This field within artificial intelligence is primarily concerned with creating and analyzing machine learning algorithms.
What is Computational Learning Theory?
This method of teaching AI sets a goal without specific metrics, encouraging the model to test different scenarios rather than find a single answer.
What is Reinforcement Learning?
An important AI term, this is a symptom of machine learning training in which an algorithm is only able to work on or identify specific examples present in the training data.
What is Overfitting?