Whispers from the digital wind, hang tight..
When working with time-series data, it can be important to apply filtering to remove noise. This story shows how to implement a low-pass… Continue reading on Towards Data Science »
Learn how a neural network with one hidden layer using ReLU activation can represent any continuous nonlinear functions. Activation functions play an integral role in Neural Networks (NNs) since they introduce non-linearity and allow the network to learn more complex
This is how I created coupons using OpenAI API on Python, in a few lines of code. Continue reading on Towards Data Science »
MLBasics #2: Demystifying Machine Learning Algorithms with The Simplicity of Logistic Regression Continue reading on Towards Data Science »
Why and when we should not use “random” but “secrets”? Continue reading on Towards Data Science »
Where it stands out from other swarm algorithms Continue reading on Towards Data Science »
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