What is the difference between Bias and Variance and why the trade off is important in Machine Learning?

1- What is the difference between Bias and Variance and why the trade off is important in Machine Learning?

2- Describe Stochastic Gradient Descent.

3- Why normalization speeds up Deep Learning training?

4- What is softmax and when do we use it?

5- Name a few activation functions, and go into details on Sigmoid activation function.

6- What does the convolution layer do in CNN?

7- Describe LSTM and mention why LSTM is beneficial for timeseries forecasting?

8- How do we split a timeseries data into train and test?

Here I attach all of my Colab links and class notes for your reference. Thank you!

1. https://colab.research.google.com/drive/1WMlDZExEY… to an external site. 2.https://colab.research.google.com/drive/13rIltj8lO…

3.https://colab.research.google.com/drive/1PAjgw3wVx… to an external site.

4. https://colab.research.google.com/drive/1CxlEhaMct…

5. https://colab.research.google.com/drive/1FLmQ8ApLp… to an external sit

Requirements: not limit

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