This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London
From the Specialization of Mathematics for Machine Learning and Data Science by DeepLearning.AI from Coursera.
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.
MATHEMATICS FOR MACHINE LEARNING Coursera Specialization by IMPERIAL COLLEGE LONDON
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.
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!
Notes from Mathematics for Machine Learning and Data Science Specialization
Data Science With Python->Target: AI/ML
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.
Notes taken during studying mathematics and machine learning
Personal Research on the mathematical foundation of CNNs as well as my first computer vision problem
Official Repository for Pydata Pune Meetup - Gang Up -I
Lab of Applied Mathematics is the collection of all the computational study work using different resources (online or offline) that I did during my Graduation in Applied Mathematics and Post Graduation in Mathematics and Computing (Applied Mathematics)
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