In the context of artificial intelligence and machine learning, analytics refers to the process of examining and understanding data using statistical and algorithmic techniques to identify patterns, relationships and trends. Analytics is an essential part of any artificial intelligence or machine learning project, as it allows researchers and developers to extract valuable information from data and use it to make informed decisions or create predictive models.
Data analysis can be performed in different ways, depending on the objective and the dataset in question. Some common techniques include exploratory data analysis, descriptive analysis, correlation analysis, regression analysis, clustering analysis and principal component analysis, among others.
In the context of machine learning, analytics can also refer to the evaluation of machine learning models to determine their accuracy and performance in different situations. This may involve using metrics such as accuracy, recall, F1-score and area under the curve (AUC) to measure model performance on training and test data sets.
Cheap, infinite, safe and clean energy Artificial Intelligence from Thermonuclear Fusion research to sales generation or [...]
Read More »Artificial intelligence is increasingly used and applied in many sectors, and as it could not be less, it has entered with force in the field of [...]
Read More »If you've ever wondered how Spotify recommends songs you like or how Siri and Alexa can understand what you say to them... the answer is that you can [...]
Read More »In this article we are going to focus on how artificial intelligence (AI) can increase efficiency and reduce costs for your company by [...]
Read More »
