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Data Processing

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Innovative Computer Science Lab

Data Science | Machine learning | Data Analytics 

Definitions and Roadmaps

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Data Science

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.

Data Processing

Machine Learning

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can effectively generalize and thus perform tasks without explicit instructions. Recently, generative artificial neural networks have been able to surpass many previous approaches in performance. Machine learning approaches have been applied to large language modelscomputer visionspeech recognitionemail filteringagriculture and medicine, where it is too costly to develop algorithms to perform the needed tasks.

Data Analytics

Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. Data analytics can shape business processes, improve decision-making, and foster business growth.

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Gen AI

Generative artificial intelligence 

Generative artificial intelligence (also generative AI or GenAI is artificial intelligence capable of generating text, images, or other media, using generative models. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.

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created by : Adil Maqsood

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