This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

Programming assignments and quizzes completed as part of the course Mathematics for Machine Learning Specialization by Imperial College London on Coursera.

✨ An authorial set of fundamental python recipes on Data Science and Analytics.

MATHEMATICS FOR MACHINE LEARNING Coursera Specialization by IMPERIAL COLLEGE LONDON

course webpage for UCLA Biostat 216, 2022 Fall Quarter

a "Main" repo for my math notes.

course webpage for UCLA Biostat 216, 2023 Fall Quarter

A PyPi Mathematical Aid Package for Multivariate Calculus (MATH 200)

My lab solutions for Mathematics for Machine Learning course by Imperial College London, offered through Coursera

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

Check out my solutions for the "Mathematics for Machine Learning" course on Coursera! Get a better understanding of the math behind machine learning with this specialization.

Übungen Modul IMATH (Informatik Math) der Hochschule Luzern

Matlab - Multivariate, Signals and Systems

This project aims to provide a fundamental understanding of numerical approximation methods in higher dimensions, focusing on Gradient Descent. This is applied by training a neural network using the MNIST dataset

The calculus underpinning modern machine learning, built from scratch in pure NumPy. 8-week masterclass: ε–δ limits, complex-step differentiation, forward- & reverse-mode autodiff (backprop) from scratch, multivariate/matrix/vector calculus, and the calculus of variations — every result verified against analytic truth. Fully executed notebooks.

This repo contains Quiz Answers, Programming assignments for Linear Algebra, Multivariate Calculus & PCA.

Modern makine öğrenmesinin üzerine kurulduğu kalkülüs, sıfırdan saf NumPy ile. 8 haftalık masterclass: ε–δ limitler, kompleks-adım türevi, sıfırdan ileri & ters-mod otomatik türev (geri yayılım), çok değişkenli/matris/vektör kalkülüs ve varyasyon hesabı. Her sonuç analitik gerçeğe karşı doğrulanır.

Course material for the course LSINC1113 at UCLouvain

Mathematics for Machine Learning Notebooks and files

LaTeX notes (in italian) for the undergraduate Multivariate Calculus course at University of Roma Tre