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...

Some books and resources for Market and Economies https://bit.ly/33GfZLb https://bit.ly/3n2lk7r https://bit.ly/3gscv4r...

Some books for Accounting https://apple.co/3gxVcP6 https://bit.ly/3gxRGEo https://apple.co/3gxVcP6 https://bit.ly/371DPTX...

Books and Resources for data and decisions https://bit.ly/3qEzNIN https://bit.ly/3qKBNj0 https://bit.ly/3mE0pHn

Machine learning is built on algorithms to learn and provide results to end user (Chavan, Somvanshi, Tambade & Shinde, 2016). It is...

Traditional machine learning algorithms and systems were developed with the assumption that data will fit in memory however in the realm...

The case study for data in-motion is picked from IBM’s big data and analytics hub and located at below URL titled as “Real-time analysis...

There are lots of great visualization tools available for big data, some of those are: 1. Tableau 2. Microstrategy 3. Alteryx...