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Must Know Differences Between Data Science and Data Analytics

Pickl AI

Artificial Intelligence (AI): Enables machines to perform tasks that require human intelligence, such as recognising speech, translating languages, or driving autonomous cars. Big Data: Refers to vast sets of data that traditional tools cannot process; commonly used in industries like social media, e-commerce, and healthcare.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Several technologies bridge the gap between AI and Data Science: Machine Learning (ML): ML algorithms, like regression and classification, enable machines to learn from data, enhancing predictive accuracy. Big Data: Large datasets fuel AI and Data Science, providing the raw material for analysis and model training.