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Hello.

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Welcome back.

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In this lesson we should talk about the basic data types often used in machine learning potential.

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It's a basic data structure in machine learning.

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It is the container of data.

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This is what tensile floor gets its name attached so of a single number is known as scalar.

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For example the variable x is a scalar a time sort of one dimension is known as a vector.

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The D example X over here is a one dimensional tensor and also a four dimensional vector because it

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has four elements.

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We can have a tense or with arbitrarily large dimension for example.

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This is a 3D tensor or the number of axes of a tennis or is known as the rank the rank of a 3D tensor

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or is three on the rank of a two detects or is to the shape of a tennis or implies the dimension along

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each axis of the tensile x.

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In this example has a shape of two by two and Y has a shape of two by three right.

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This order is for this very short.

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Listen I'll see you later.