Online book on reinforcement learning http://incompleteideas.net/book/RLbook2020.pdf

I came across interesting link related to Amazon Prime video quality detection using ML models - https://www.amazon.science/blog/how-prim...

Great resources at kaggle.com to learn data science, ML/AI: https://www.kaggle.com/learn/pandas https://www.kaggle.com/learn/intro-to-dee...

Helpful resources to understand Q Learning: https://towardsdatascience.com/introduction-to-various-reinforcement-learning-algorithms-i-q-...

Good resources on backward propagation in neural networks https://www.analyticsvidhya.com/blog/2021/06/how-does-backward-propagation-work...

Some interesting reading material on self-driving vehicles: https://www.micron.com/about/blog/2018/january/artificial-intelligence-in-aut...

GRU overview: https://analyticsindiamag.com/lstm-vs-gru-in-recurrent-neural-network-a-comparative-study/ https://www.pluralsight.com/guid...

Reinforcement learning resources: https://towardsdatascience.com/creating-next-gen-video-game-ai-with-reinforcement-learning-3a3ab5595d01...

LSTM resources: https://www.analyticsvidhya.com/blog/2021/03/introduction-to-long-short-term-memory-lstm/ https://machinelearningmastery....

ESN resources: https://towardsdatascience.com/gentle-introduction-to-echo-state-networks-af99e5373c68 https://link.springer.com/article/1...

Excellent resources to understand RNN: https://www.ibm.com/cloud/learn/recurrent-neural-networks https://stanford.edu/~shervine/teaching/...

Hamming neural network resources: https://pdf.sciencedirectassets.com/280203/1-s2.0-S1877050917X00021/1-s2.0-S1877050917301278/main.pdf?X...

Some good resources on CNN: https://www.analyticsvidhya.com/blog/2021/08/image-classification-using-cnn-understanding-computer-vision/...

Step by step approach to understand PCA: https://towardsdatascience.com/a-step-by-step-implementation-of-principal-component-analysis-552...

Some resources on fundamentals of Hopfield Networks: https://towardsdatascience.com/hopfield-networks-are-useless-heres-why-you-should-le...

Excellent resource on SGD and other topics: https://scikit-learn.org/stable/modules/sgd.html

Nice introduction of gradient descent: https://www.malicksarr.com/gradient-descent-in-neural-network/

Good resources on backward propagation in neural networks https://www.analyticsvidhya.com/blog/2021/06/how-does-backward-propagation-work...

Resources to understand forward propagation in Neural Networks https://www.analyticsvidhya.com/blog/2021/04/estimation-of-neurons-and-for...

Bauder and Khoshgoftaar (2018) presented a machine learning based framework to detect fraud in medical claims filed in US. Publicly...