Data Science

Big Data refers to extremely large datasets that are too complex to be handled and processed by traditional data management...

Big Data Modeling is the process of structuring large and complex datasets into models that are easier to understand, analyze,...

BigQuery is a cloud-based data analysis tool from Google that allows users to quickly process and analyze large datasets using...

CI/CD refers to the processes and tools that automate software development, testing, and deployment to ensure faster and more reliable...

A confidence interval is a range of values used in statistics to estimate the uncertainty or variability of a measurement...

A data lake is a centralized repository that stores large amounts of raw data in its native format, including structured,...

A data warehouse is a centralized system designed to store and organize large volumes of structured data for querying, analysis,...

Decision science is an interdisciplinary field that uses data, statistics, and behavioral insights to make informed decisions and solve complex...

A decision tree is a visual model in machine learning that splits data into branches based on conditions, helping to...

Deep learning data refers to the large and diverse datasets used to train deep neural networks, a type of machine...

A directed acyclic graph (DAG) is a data structure consisting of nodes connected by directed edges, where the connections flow...

Docker is a platform that allows developers to build, package, and run applications in lightweight containers that are consistent across...

Ensemble learning is a machine learning technique that combines the predictions of multiple models to improve accuracy, robustness, and performance.

FastAPI is a modern, high-performance web framework for building APIs in Python, designed for speed and developer efficiency.

Feature engineering is the process of creating, selecting, or transforming data attributes to improve the performance of machine learning models.

Feature selection is the process of identifying and using only the most relevant attributes in a dataset to improve the...

Google Compute refers to Google Cloud's suite of compute services that provide scalable and flexible virtual machines, containers, and serverless...

Hugging Face is an open-source platform and community that provides tools, models, and libraries for natural language processing (NLP) and...

Hypothesis testing is a statistical method used to determine whether a hypothesis about a dataset is supported by evidence or...

Infrastructure as Code (IaC) is the practice of managing and provisioning IT infrastructure using machine-readable configuration files rather than manual...

Jupyter Notebooks are interactive, open-source tools that allow users to write, run, and document Python code alongside visualizations and text...

K-means clustering is an unsupervised machine learning algorithm that groups data points into a specified number of clusters based on...

Keras is a high-level, user-friendly library for building and training deep learning models, running on top of TensorFlow.

KNN, or K-Nearest Neighbors, is a machine learning algorithm that classifies data points based on the "nearest" data points it...

Latent Dirichlet Allocation (LDA) is a statistical model used for topic modeling, which identifies abstract topics within a collection of...

Linear regression is a statistical method for modeling the relationship between a dependent variable and one or more independent variables...

Linear regression in machine learning is an algorithm used to predict numerical values by learning a linear relationship between input...

Large Language Models (LLMs) are advanced AI models trained on massive text datasets to understand, generate, and interact using human-like...

Logistic regression is a statistical model used to predict binary outcomes (e.g., yes/no) based on input features, using a sigmoid...

Machine learning engineering involves building, deploying, and maintaining machine learning systems that solve real-world problems using data-driven algorithms.

Multivariate regression is a statistical method used to predict the outcome of a target variable based on multiple input variables....