Pradeep GoelNotes from Supervised Machine Learning: Regression and Classification — Part 1Notes from the week 1 material. This covers liner regression, cost function, and gradient descent1d ago
Reza BagheriinTowards Data ScienceA Visual Understanding of Decision Trees and Gradient BoostingA visual explanation of the math behind decision trees and gradient boostingJul 261
Robert KwiatkowskiinTowards Data ScienceGradient Descent Algorithm — a deep diveThe Gradient Descent method lays the foundation for machine learning and deep learning techniques.May 22, 202112May 22, 202112
Pradeep GoelNotes from Supervised Machine Learning: Regression and Classification — Part 2Notes from week 2 material, how to do liner regression with multiple input variables, vectorization, feature scaling and feature…1d ago1d ago
Rômulo PaulivinTowards Data ScienceThe Proof of Learning in Machine Learning/AIBefore any mathematical development, we must first understand the foundation of learning and how it is closely linked to the concept of…May 172May 172
Pradeep GoelNotes from Supervised Machine Learning: Regression and Classification — Part 1Notes from the week 1 material. This covers liner regression, cost function, and gradient descent1d ago
Reza BagheriinTowards Data ScienceA Visual Understanding of Decision Trees and Gradient BoostingA visual explanation of the math behind decision trees and gradient boostingJul 261
Robert KwiatkowskiinTowards Data ScienceGradient Descent Algorithm — a deep diveThe Gradient Descent method lays the foundation for machine learning and deep learning techniques.May 22, 202112
Pradeep GoelNotes from Supervised Machine Learning: Regression and Classification — Part 2Notes from week 2 material, how to do liner regression with multiple input variables, vectorization, feature scaling and feature…1d ago
Rômulo PaulivinTowards Data ScienceThe Proof of Learning in Machine Learning/AIBefore any mathematical development, we must first understand the foundation of learning and how it is closely linked to the concept of…May 172
Sushmita PoudelRecurrent Neural Network (RNN) Architecture ExplainedThis article will provide insights into RNNs and the concept of backpropagation through time in RNN, as well as delve into the problem of…Aug 28, 20234
P.G. BaumstarckinTowards Data ScienceVisualizing Gradient Descent Parameters in TorchPrying behind the interface to see the effects of SGD parameters on your model trainingFeb 2612
