As told before, every Sunday a new topic related to probability later also about other ML and data science related topics would also be coming up. This is the second part of the basic of the probability where we will cover mainly the conditional independence and the Bayes rule with a really cool problem at the end.

I really assume that readers here know the basics of probability and also some other basics concept like conditional probability or independence etc. **…**

I am really glad to study this series trying my best to complete the full mathematics and statistics for machine learning for beginners, starting from the probability to stats, linear algebra, calculus, optimization theory, in a full byte sized form (with well furbished hand written notes ). It may take a lot of time, but I guess readers here would collaborate with me, and also please comment so that I can improve more in the next time.

I really assume that readers here know the basics of probability and sets i.e. what is probability, how to find the probability of…

By Anindyadeep Sannigrahi

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This is very much detailed tutorial on the Neural Networks

**Contents**:

**An intuition behind deep learning****What is deep learning (DL)****Different types of neural networks****Some disclaimers and notes****Neurons or perceptrons****Basic maths in a neuron****The feed forward neural network (stage 1)****The feed forward neural network (stage 2)****Back propagation in neural nets ( level 1)****Back propagation in neural nets ( level 2)****The total back propagation in a neural network (level 3 )****Discussion of some hyper parameter…**

18 years old guy Mathematics , deep learning, machine learning, beats and music , and some fun , is what all about... our life's reinforcement learning...