Regression analysis: Regression analysis is a
statistical technique used to find the relationship between a dependent
variable and one or more independent variables. It is often used to
predict or forecast future outcomes based on historical data.
It is commonly used in finance, marketing, and
economics.
Cluster analysis: Cluster analysis is a
technique used to group similar data points into clusters or segments
based on their similarities. It is commonly used for market
segmentation, customer segmentation, and image recognition.
It is commonly used in marketing and image
recognition.
Classification analysis: Classification analysis
is a technique used to classify data points into predefined categories
or classes. It is commonly used for fraud detection, spam filtering, and
image recognition.
It is commonly used in finance, marketing, and
cybersecurity.
Time series analysis: Time series analysis is a
statistical technique used to analyze and forecast time-dependent data.
It is commonly used for forecasting sales, predicting financial trends,
and predicting seasonal patterns.
It is commonly used in finance, economics, and
manufacturing.
Principal component analysis (PCA): PCA is a
statistical technique used to reduce the dimensionality of a dataset by
identifying and removing the most important variables. It is commonly
used for data compression and data visualization.
It is commonly used in finance, marketing, and image
recognition.
Association analysis: Association analysis is a
technique used to identify patterns or associations between items in a
dataset. It is commonly used for market basket analysis, recommendation
systems, and customer behavior analysis.
It is commonly used in marketing and e-commerce.
Text mining: Text mining is a technique used to
extract information and insights from unstructured text data. It is
commonly used for sentiment analysis, topic modeling, and text
classification.
It is commonly used in social media analysis, customer feedback
analysis, and market research.
Network analysis: Network analysis is a
technique used to analyze the relationships between entities in a
network. It is commonly used for social network analysis, supply chain
analysis, and transportation planning.
It is commonly used in logistics, transportation, and social network
analysis.
Machine learning: Machine learning is a
technique used to develop algorithms that can learn from data and make
predictions or decisions. It is commonly used for image recognition,
natural language processing, and predictive analytics.
It is commonly used in healthcare, finance, and
marketing.
Deep learning: Deep learning is a subset of
machine learning that uses artificial neural networks to learn from
data. It is commonly used for image recognition, natural language
processing, and speech recognition.
It is commonly used in healthcare, finance, and
marketing.
Decision trees: Decision trees are a graphical
representation of a decision-making process that can be used to make
predictions or decisions based on input variables.
It is commonly used in finance, marketing, and
healthcare.
Random forests: Random forests are an ensemble
learning method that uses multiple decision trees to improve prediction
accuracy.
It is commonly used in finance, marketing, and
healthcare.
Gradient boosting: Gradient boosting is a
machine learning technique that uses a sequence of decision trees to
improve prediction accuracy.
It is commonly used in finance, marketing, and
healthcare.
Support vector machines (SVM): SVM is a machine
learning technique used for classification and regression
analysis.
It is commonly used in finance, marketing, and
cybersecurity.
Naive Bayes: Naive Bayes is a probabilistic
machine learning technique used for classification and regression
analysis.
It is commonly used in finance, marketing, and natural language
processing.
K-means clustering: K-means clustering is a type
of cluster analysis that groups similar data points into K
clusters.
It is commonly used in marketing and customer segmentation, as well
as image recognition and natural language processing.
Logistic regression: Logistic regression is a
statistical technique used for binary classification.
It is commonly used in finance, marketing, and
healthcare.
Survival analysis: Survival analysis is a
statistical technique used to analyze and predict the time until an
event occurs.
It is commonly used in healthcare, finance, and
engineering.
Fuzzy logic: Fuzzy logic is a mathematical
framework used to handle uncertainty in data.
It is commonly used in control systems, decision-making, and expert
systems.
Bayesian network: A Bayesian network is a
graphical model used to represent probabilistic relationships among
variables.
It is commonly used in finance, marketing, and healthcare for
decision-making and prediction.
Made by AI, 2023
Prompter: Tural Naghi