Kaggle is an online platform for data science and machine learning, owned by Google since 2017. It offers public data sets, competitions based on real problems, browser-based notebooks with computing resources and learning courses. For organisations and learners it is useful for trying out methods, comparing approaches or spotting talent. The licence and origin of any data set should be checked before use.
Machine learning is a branch of artificial intelligence in which computers derive patterns from data instead of having every rule explicitly programmed. Depending on the task, models learn from labelled examples (supervised), from unlabelled data (unsupervised) or through rewards (reinforcement). Applications range from spam filters and demand forecasts to product recommendations. Quality depends heavily on the quantity and quality of the training data.
Jupyter Notebook is an open-source, browser-based application from Project Jupyter that combines executable code, results, charts and explanatory text in a single document. Notebooks are widely used in data analysis, machine learning, research and teaching because each step can be documented and shared in a traceable way. Python is the most common language. Example: an analyst loads sales data, cleans it and shows the results as a chart directly below.
In AI, benchmarking means systematically comparing models or systems using defined tasks and criteria. Public benchmarks measure things like general knowledge, reasoning or coding ability; for practical use, however, test cases from your own day-to-day work matter most. Typical criteria are accuracy, completeness, response time and cost. This helps decide whether a smaller, cheaper model is good enough for a task.
Training data are the examples from which an AI model learns patterns: large text collections for language models, labelled images for image models. Their quality, diversity and recency largely determine how reliable and fair a model is and how up to date its knowledge will be. For organisations it also matters whether a provider uses the customer data they enter for further training.
