Machine learning in Python 030918 | Machine learning in Python | - - PowerPoint PPT Presentation

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Machine learning in Python 030918 | Machine learning in Python | - - PowerPoint PPT Presentation

Dec 16, 2023 205 likes •819 views

Machine learning in Python 030918 | Machine learning in Python | esten@epimed.ai | epigram medtech 030918 | Machine learning in Python | esten@epimed.ai | epigram medtech 030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

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Machine learning in Python

030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

Thank you I really appreciate the help :) Amazing!! What the f**k is going on?!? Thanks for

  • nothing. What a

horrible user experience

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

01. Algorithms 2 => {2} 3 => {3} 4 => {2, 2} 5 => {5} 6 => {2, 3} 7 => {7} 8 => {2, 2, 2}

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

2 => {2} 3 => {3} 4 => {2, 2} 5 => {5} 6 => {2, 3} 7 => {7} 8 => {2, 2, 2} 2 => {2} 3 => {3} 4 => {2, 2} 5 => {5} 6 => {2, 3} 7 => {7} 8 => {2, 2, 2} 01. Algorithms

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

2 => {2} 3 => {3} 4 => {2, 2} 5 => {5} 6 => {2, 3} 7 => {7} 8 => {2, 2, 2}

Q.E.D

01. Algorithms

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

2 => {2} 3 => {7} 4 => {} 5 => {2, 2, 2, 2, 2, ...} 6 => {“airplane”} 7 => {, ฀} 8 => {ώ}

  • 02. Machine Learning
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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

2 => {2} 3 => {7} 4 => {} 5 => {2, 2, 2, 2, 2, ...} 6 => {“airplane”} 7 => {, ฀} 8 => {ώ}

  • 02. Machine Learning

?

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 03. Linear regression
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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 03. Linear regression

m2 72 68 72 42 66 55 NOK 4 200 000 3 790 000 3 890 000 3 400 000 4 950 000 3 600 000

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 03. Linear regression
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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 03. Linear regression

f(x) = ax+b

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 03. Linear regression

f(x) = 0x+3800000

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 03. Linear regression

f(x) = 27272x+2145484

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 03. Linear regression

cost(x, f(x)) = 0 if f(x) = x 1

{

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 03. Linear regression

cost(x, f(x)) = (f(x) - x)2

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 04. Neural nets

f(x) = ax+b

y

x b a

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 04. Neural nets

y

x b a

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 04. Neural nets

y

x1 b a1 x2 a2

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 04. Neural nets

∫

x1 b a1 x2 a2 y

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  • 04. Neural nets

∫

x1 y

∫

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  • 04. Neural nets

∫

x1 y

∫ ∫ ∫

?

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 04. Neural nets

x1 x2 x3 y

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  • 04. Neural nets

x1 x2 x3 y1 y2

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 04. Neural nets

x1 x2 x3 Buttercup Daisy

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 04. Neural nets

Buttercup Daisy

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 04. Neural nets

Buttercup Daisy

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  • 04. Neural nets

Buttercup: 0.8 Daisy: 0.2

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  • 04. Neural nets

Buttercup: 0.8 Daisy: 0.2 1.0 0.8

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  • 04. Neural nets

Buttercup: 0.8 Daisy: 0.2 1.0 0.8

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 05. Convolutional Neural Nets

Buttercup Daisy

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 05. Convolutional Neural Nets

Buttercup Daisy

Convolution

}

Pooling

}

Convolution

}

Convolution

}

Pooling

}

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  • 05. Convolutional Neural Nets

width height depth

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 05. Convolutional Neural Nets

Buttercup Daisy

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 05. Convolutional Neural Nets
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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 06. Transfer learning
  • 1. Tench
  • 2. Goldfish
  • 985. Daisy
  • 986. Slipper
  • 999. Ear
  • 1000. Toilet paper

... ...

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 06. Transfer learning
  • 1. Tench
  • 2. Goldfish
  • 985. Daisy
  • 986. Slipper
  • 999. Ear
  • 1000. Toilet paper

... ...

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030918 | Machine learning in Python | esten@epimed.ai | epigram medtech

  • 06. Transfer learning
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  • 06. Transfer learning
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  • 06. Transfer learning
  • 1. Bluebell
  • 2. Buttercup
  • 12. Fritilliary
  • 13. Iris
  • 16. Tulip
  • 17. Windflower

... ...

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  • 07. Python
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  • 07. Python
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  • 07. Python
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  • 07. Python
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  • 07. Python

1 5 3 4 9 12 4 6 19 2 1 27 4 2 8 3 8 5 11 1 13 8 4 6 7 3 1 2 12 4

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  • 07. Python

y = ax + b

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  • 07. Python
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  • 07. Python
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  • 07. Python
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  • 07. Python
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  • 07. Python
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  • 07. Python
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  • 07. Python
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  • 07. Python

Serving images Preprocessing Augmentations Core model Specific model 1 2 3 6 4/5

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  • 07. Python

'bluebell' 'buttercup' 'colts_foot’ 'cowslip’ 'crocus' 'daffodil' 1 2 3 4 5 [1, 0, 0, 0, 0, 0] [0, 1, 0, 0, 0, 0] [0, 0, 1, 0, 0, 0] [0, 0, 0, 1, 0, 0] [0, 0, 0, 0, 1, 0] [0, 0, 0, 0, 0, 1]

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  • 07. Python