This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London

Explanation of Mathematics used in Machine Learning Algorithms and some Projects

Blank notebooks and solutions for the Mathematics for Machine Learning specialization by Imperial College of London on Coursera.

Численные методы оптимизации реализованные для курса ВолгГТУ "Методы оптимизации"

Official Repository for Pydata Pune Meetup - Gang Up -I

This repository consists of my assignment submissions for Mathematics in machine Learning course by Imperial College on Coursera.

Mathematics for machine learning

Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.

Repo contains miscellaneous programs

This repository contains a comprehensive collection of mathematical concepts and techniques relevant to various fields of AI, including ML, DL & other areas.It also includes the corresponding source code for all programming tasks associated with the Mathematics for Machine Learning courses, which are taught at Coursera by Imperial College London.

These are the handwritten notes on, how to set up an IDE, an introduction to Conda environment, how to use Git and GitHub for version control, and mathematics for data science.

Go simple-to-use plotting library that includes visualization of vectors and matrices, the Gaussian distribution, time series and seasonality and more. It offers statistical components of datasets, such as the variance and covariance.

Anonymous Data Scientist

Linear Algebra; Multivariate Calculus; Optimization; Probability and Statistics; Phenomena in High Dimensions; Approximation Theory; Functional Analysis, etc..

Replay Buffer is a blog on machine learning, computer science and mathematics.

Data Science With Python->Target: AI/ML

A walk through of the creation of a deep neural network from scratch!

I)Testing and practicing different machine learning algorithms II) Mathematical modeling and simulation algorithms.

Personal Research on the mathematical foundation of CNNs as well as my first computer vision problem

Companion webpage to the book "Mathematics For Machine Learning"