AI

1. A collection of related data points, usually with a uniform order and tags.
4. data The unlabeled data used to check that a machine learning model is able to perform its assigned task.
5. A part of training data that identifies the desired output for that particular piece of data.
7. data Datasets that are too large or complex to be used by traditional data processing applications.
9. intelligence This refers to the general concept of machines acting in a way that simulates or mimics human intelligence. AI can have a variety of features, such as human-like communication or decision making.
10. intelligence An umbrella term for various types of learning algorithms, including machine learning and deep learning.
11. A popular programming language used for general programming.
14. A broad term referring to the product of AI training, created by running a machine learning algorithm on training data.
16. learning This is a form of training where the algorithm is asked to make inferences from datasets that don’t contain labels. These inferences are what help it to learn.
17. learning This subset of AI is particularly focused on developing algorithms that will help machines to learn and change in response to new data, without the help of a human being.

2. learning This method of learning involves spending time teaching a machine to do a related task, then allowing it to return to its original work with improved accuracy. One potential example of this is taking a model that analyzes sentiment in product reviews and asking it to analyze tweets for a week.
3. data Structured like training data with an input and labels, this data is used to test a recently trained model against new data and to analyze performance, with a particular focus on checking for overfitting.
6. A set of rules that a machine can follow to learn how to do a task.
8. mining The process of analyzing datasets in order to discover new patterns that might improve the model.
9. A machine is described as autonomous if it can perform its task or tasks without needing human intervention.
12. learning A function of artificial intelligence that imitates the human brain by learning from the way data is structured, rather than from an algorithm that’s programmed to do one specific thing.
13. data This refers to all of the data used during the process of training a machine learning algorithm, as well as the specific dataset used for training rather than testing.
15. learning This is a type of machine learning where structured datasets, with inputs and labels, are used to train and develop an algorithm.