[Learn-data-science] Meeting Today

[David Livermore]

Hello fellow data-scientists!


I've attached my very sparse notes regarding weeks 1 and 2.  If you haven't already caught up on the course, I encourage you to do so!


Wojteks notebook: https://colab.research.google.com/drive/1g_Ev4zxFUq2twP0to9UPYW4iTHuZukTY


If you missed a bit of material and are looking to play catch-up on machine learning basics, you can check out the following articles:


(Very brief, but good) Towards Data Science: https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6

[https://cdn-images-1.medium.com/max/1200/1*36MELEhgZsPFuzlZvObnxA.gif]<https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6>

How to build your own Neural Network from scratch in Python<https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6>
towardsdatascience.com
Motivation: As part of my personal journey to gain a better understanding of Deep Learning, I’ve decided to build a Neural Network from scratch without a deep learning library like TensorFlow. I…


(Much longer, but in depth) Neural Networks and Deep learning: http://neuralnetworksanddeeplearning.com/chap1.html

Neural networks and deep learning<http://neuralnetworksanddeeplearning.com/chap1.html>
neuralnetworksanddeeplearning.com
If $\sigma$ had in fact been a step function, then the sigmoid neuron would be a perceptron, since the output would be $1$ or $0$ depending on whether $w\cdot x+b ...

If you have any questions/concerns/comments, or if you would like to volunteer to teach a lesson, let me know!


Cheers,

David Livermore
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