Flashcards
machine learning
Flashcards do conjunto (19)
- 1is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.Machine Learning
- 2machine learning algorithms are used to make a prediction or classification. Based on some input data, which can be labeled or unlabeled, your algorithm will produce an estimate about a pattern in the dataA Decision Process
- 3evaluates the prediction of the modelAn error function.
- 4If the model can fit better to the data points in the training set, then weights are adjusted to reduce the discrepancy between the known example and the model estimate. The algorithm will repeat this iterative “evaluate and optimize” process, updating weights autonomously until a threshold of accuracy has been met.Model Optimization Process
- 5is defined by its use of labeled datasets to train algorithms to classify data or predict outcomes accurately. As input data is fed into the model,Supervised learning
- 6uses machine learning algorithms to analyze and cluster unlabeled datasets (subsets called clusters).Unsupervised learning
- 7offers a happy medium between supervised and unsupervised learning. During training, it uses a smaller labeled data set to guide classification and feature extraction from a larger, unlabeled data set.Semi-supervised learning
- 8It is used for predicting a continuous value based on one or more input features. Real-life uses include sales forecasting, predicting housing prices, and analyzing the relationship between variables in scientific research.Linear Regression
- 9This algorithm is used for binary classification problems, where the outcome is a categorical variable with two levels.Logistic Regression
- 10They are intuitive to understand and can handle both numerical and categorical data.Decision Trees
- 11Used in various applications such as predicting customer behavior, stock market analysis, and medical diagnosis. ensemble learning method that constructs multiple decision trees and combines their predictionsRandom Forest
- 12a powerful algorithm used for classification tasks. It works well in high-dimensional spaces and is effective for problems with complex decision boundaries.Support Vector Machines
- 13is a simple and intuitive algorithm used for classification and regression tasks.K-Nearest Neighbors
- 14are the backbone of deep learning, a subfield of machine learning. They consist of interconnected layers of nodes (neurons) that process and learn from data.Neural networks
- 15used to group similar data points together based on their characteristics.Clustering Algorithms
- 16a dimensionality reduction technique used to reduce the number of features in a dataset while preserving its variance.Principal Component Analysis
- 17a type of machine learning where an agent learns to make decisions by interacting with an environment to maximize rewards.Reinforcement Learning
- 18is a subset of machine learning that uses multi-layered neural networksDeep learning
- 19—
Informações
- Descrição
- 1 Application Development FlashCards sobre machine learning, criado por Michael Angelo em 10-04-2024.
- Criado por
- Michael Angelo
- Visualizações
- 5
- Avaliação