Maximum Likelihood Estimation (MLE) is a statistical technique used to estimate the parameters of a probability distribution by maximizing the likelihood function. It is widely applied in machine learning, statistics, and AI to optimize models for tasks such as classification, regression, and generative modeling. MLE is commonly used in logistic regression, Gaussian Mixture Models (GMMs), ...
Standardization in machine learning is a preprocessing technique used to transform numerical features so that they have a mean of zero and a standard deviation of one. This ensures that all features contribute equally to the model, preventing bias caused by different scales of measurement. Standardization is crucial for improving model performance, especially in algorithms ...
The Dempster-Shafer Theory (DST) is a mathematical framework for handling uncertainty and incomplete information in decision-making. Unlike traditional probability theory, which requires prior probabilities, DST allows for degrees of belief based on available evidence. This makes it highly useful in artificial intelligence, expert systems, and data fusion applications. What is Dempster Shafer Theory? The Dempster-Shafer ...
Data visualization tools are software solutions designed to help users convert raw data into graphical representations such as charts, graphs, heatmaps, and dashboards. These tools simplify data analysis, making complex datasets more comprehensible, interactive, and actionable. Businesses, researchers, and analysts use data visualization tools to identify trends, track performance, and make data-driven decisions. The importance ...
Data visualization is the process of representing data through graphs, charts, maps, and interactive dashboards to simplify complex information. It enables users to identify patterns, trends, and insights that may not be immediately apparent in raw datasets. In the era of big data and AI-driven analytics, data visualization plays a crucial role in decision-making by ...
AI automation refers to the integration of artificial intelligence (AI) and automation technologies to create intelligent, self-learning systems that enhance business operations, decision-making, and efficiency. AI automation enables machines to analyze data, learn from patterns, and execute tasks with minimal human intervention. The relationship between AI and automation is crucial to understanding their combined impact. ...
Data encryption is the process of converting data into an unreadable format, known as ciphertext, to prevent unauthorized access. It plays a crucial role in data protection, ensuring that sensitive information remains secure during storage and transmission. In today’s digital age, where cyber threats are prevalent, encryption is essential for safeguarding personal data, financial records, ...
Kernel methods are a class of machine learning algorithms that enable efficient data transformation into higher-dimensional spaces without explicitly computing those dimensions. They are widely used in tasks such as classification and regression, particularly in Support Vector Machines (SVMs) and Kernel Ridge Regression, to capture complex patterns in data. Understanding Kernel Methods Kernel methods are ...
Reasoning in artificial intelligence is the process of deriving logical conclusions from available data, rules, and prior knowledge. It enables AI systems to make informed decisions, solve problems, and simulate human-like intelligence. Reasoning is essential in expert systems, decision-making, and automated problem-solving, allowing AI to infer new knowledge, validate information, and adapt to dynamic environments. ...
Correlation analysis in data mining is a statistical method used to measure the strength and direction of relationships between variables. It helps identify patterns and dependencies within datasets, making it useful for predictive modeling, feature selection, and trend analysis. However, correlation only indicates an association and does not imply causation. What is Correlation Analysis? Correlation ...
Team Applied AI
Abhimanyu Saxena
