SlimToolkit helps shrink Docker images safely, keeping only required files to improve performance, speed, and storage efficiency.
Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...
represent trajectories and mobility flows with proper data structures, TrajDataFrame and FlowDataFrame. manage and manipulate mobility data of various formats (call detail records, GPS data, data from ...