Data Science Job Market Trends

A vector database designed for complex data retrieval and analysis. Used extensively in applications that require high-performance data science capabilities.

Assesses the performance and accuracy of AI models and systems, ensuring they meet desired standards and objectives.

An open-source platform designed to leverage machine learning for predictive analytics within databases, it allows developers to easily integrate AI models with their data. Provides users with tools to build, train, and deploy machine learning models directly on their databases.

Deploys and integrates AI solutions directly with clients, working on-site to ensure successful implementation and customization.

Responsible for labeling and categorizing data to train and evaluate machine learning models. Tools and techniques are used to enhance machine learning and AI applications.

Develops and implements AI solutions to solve real-world problems, focusing on practical applications and outcomes.

A web scraping and automation platform that allows users to extract and process data from websites.

A fast DataFrame library for Python, designed for efficient data manipulation and analysis.

The field of study that deals with the moral implications and responsibilities of artificial intelligence. It focuses on ensuring AI systems are designed and used in ways that adhere to ethical standards and benefit society.