Base Units

In Data Science, Base Units refer to the fundamental units of measurement that are used to define all other units. These units are chosen based on their relevance to the physical world and are considered to be the building blocks of measurement. In the International System of Units (SI), there are seven base units: meter (length), kilogram (mass), second (time), ampere (electric current), kelvin (temperature), mole (amount of substance), and candela (luminous intensity). These units are used to define all other units of measurement, such as velocity, acceleration, force, energy, and power. In Data Science, the use of base units is important for ensuring consistency and accuracy in data analysis and modeling.

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Boolean Function: A Boolean function is a mathematical function that maps input values to a single output value of either true or false. In data science and artificial intelligence, Boolean functions are commonly used in logic circuits, decision trees, and o ... Read More >>
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Data Types: In Data Science, data types refer to the classification of data items based on their nature and characteristics. It is an important concept as it helps in understanding the type of data that is being used and how it can be processed. There ... Read More >>

Base Units

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