Deep Learning
Deep Learning is a subset of artificial intelligence that uses multi-layered artificial neural networks to process and learn from complex, unstructured data including images, audio, video, and text.
Deep Learning is a subset of artificial intelligence that uses multi-layered artificial neural networks to process and learn from complex, unstructured data including images, audio, video, and text.
Machine Learning is a branch of artificial intelligence that teaches computers to learn from data and improve their performance without being explicitly programmed for every task.
Business Intelligence is the technology-driven process of converting raw data into actionable insights through systematic reporting, interactive dashboards, data visualisation, and analytics to support strategic business decision-making.
Data Analytics is the systematic process of examining, cleaning, transforming, and interpreting data to discover meaningful patterns, extract actionable insights, and support evidence-based decision-making across organisations.
Data Engineering is the discipline of designing, building, and maintaining robust data infrastructure and pipelines that enable organisations to collect, store, process, and deliver data reliably at scale.https://bigblue.academy/en/data-engineering-bootcamp
Data Science extracts insights from data using statistics, programming, and machine learning.
An AI Chatbot is intelligent software that uses natural language processing (NLP) and artificial intelligence to converse with humans through text or voice interfaces.
Data Visualization is the process of transforming raw data into visual representations like charts, graphs, maps, and interactive dashboards for easy understanding and quick decision-making.
A Data Science Bootcamp is an intensive, accelerated training program lasting 3-6 months that teaches Python programming, statistics, machine learning, data visualization, and real-world data science projects.
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