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Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
IEEE

Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently

Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...
GitHub

dabeaz-course/python-mastery: Advanced Python Mastery (course by @dabeaz)

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...
GitHub

Mapbox Maps SDK Flutter SDK

Deployed on iOS 14 or higher Built using the Android SDK 21 or higher Built using the Flutter SDK 3.22.3/Dart SDK 3.4.4 or higher To run the Maps Flutter SDK you will need to configure the Mapbox ...