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

Численные методы оптимизации реализованные для курса ВолгГТУ "Методы оптимизации"

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

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.

Awesome resources for learning, practicing, and researching Machine Learning.

From the Specialization of Mathematics for Machine Learning and Data Science by DeepLearning.AI from Coursera.

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

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.

MATHEMATICS FOR MACHINE LEARNING Coursera Specialization by IMPERIAL COLLEGE LONDON

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.

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

Mathematics for machine learning

Notes from Mathematics for Machine Learning and Data Science Specialization

Data Science With Python->Target: AI/ML

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

In this repository, I have uploaded PDF of mathematics that are required for data science which include linear algebra, statistics, differential calculus. You can either learn some PDF for that particular day or go to the final PDF to get everything needed.

My Collection of Certificates!

My personal notes for learning about programming and math (in particular statistics). So far it's mostly just my solutions to book exercises, maybe I'll write up some things later on. This repo consists of my studying after leaving university, I won't upload the notes from before that.

Official Repository for Pydata Pune Meetup - Gang Up -I