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 An interdisciplinary academic field that uses statistics, scientific computations, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data.

Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine).

A field of study in AI concerned with the development and study of statistical algorithms that can learn from data and generalized to unseen data and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural network, a class of statistical algorithms, to surpass many previous machine learning approaches in performance.

 A machine learning model is a program that can find patterns or make decisions from a previously unseen dataset. For example, in natural language processing, machine learning models can parse and correctly recognize the intent behind previously unheard sentences or combinations of words. In image recognition, a machine learning model can be taught to recognize objects - such as cars or dogs. A machine learning model can perform such tasks by having it 'trained' with a large dataset.

 Machine learning algorithms are computational models that enable computers to understand patterns and make predictions or decisions based on data without explicit programming. These algorithms are fundamental to modern artificial intelligence and are used in various applications, including image and speech recognition, natural language processing, recommendation systems, fraud detection, and autonomous vehicles.

 In machine learning, an algorithm is a set of instructions that trains the model to learn from data. It's the process of finding the best combination of model parameters to fit the data.

A model is a template that can be used to make predictions, while an algorithm is the process of updating the model's parameters to improve its accuracy. Think of it like a recipe book - the model is the recipe, and the algorithm is the chef who adjusts the ingredients to get the perfect dish.

Refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as reasoning, learning, decision-making, and perception. AI encompasses a wide range of technologies, including machine learning, deep learning, and natural language processing (NLP).

 A type of machine learning that uses neural networks with many layers (hence "deep") to analyze various factors of data. It is particularly effective in tasks like image and speech recognition

This technology enables machines to understand, interpret, and generate human language. Applications include chatbots, translation services, and voice-activated assistants

In machine learning, a neural network is an artificial mathematical model used to approximate nonlinear functions. While early artificial neural networks were physical machines, today they are almost always implemented in software 

 Generative AI is a type of artificial intelligence that creates new, original content such as text, images, and other media. It uses advanced machine learning models like large language models (LLMs), generative adversarial networks (GANs), and transformers. These models are trained on large datasets to recognize patterns and generate coherent and contextually relevant outputs. Generative AI has diverse applications in creative arts, scientific research, and more, but raises ethical concerns ab

ChatGPT is a generative artificial intelligence chatbot developed by the American company OpenAI and launched in 2022. It is based on large language models (LLMs) such as GPT-4o. ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. It is credited with accelerating the AI boom, which has led to ongoing rapid investment in and public attention to the field of AI