Transformations 2: Composability and Linearity | MIT Computational Thinking Spring 2021 | Lecture 4

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Contents
00:00 Introduction
01:10 Playing with transformations
18:16 Why learn Julia by doing image processing? Why learn how to do image processing in Julia?
20:28 Last lecture leftovers: Perspective maps, Linear perspective interactive
24:31 Julia style (advanced): Defining vector valued functions
35:44 Functions with parameters
35:56 Linear transformations: a collection
38:05 Nonlinear transformations: a collection
38:41 Composition
39:48 Difference between sin and sin(x)
51:32 Definition of Linear Transformations
54:14 To be discussed in next lecture

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Thank you so much for making this good learning material and for making it easily available for free and for everyone.

er
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That was good and the first time I have learned about the 'circ' or 'circle' operator in mathematics, now need time to grasp the concept.

keithwhite
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I think the ideal is you always use your computer, but you know you made a mistake by intuition while it's compiling.

brettknoss
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The lecture went a bit trapezoid in the middle, but was still pretty interesting.

fburton
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Is this in Pluto.jl? If so, will the notebooks be avaliable?

brettknoss
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Julia's jit implementation is so sad. I really loved the idea of the language but it let us all down.

GoatMen