quizzes/assignments for mathematics for machine learning specialization on coursera
This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London
Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.
Численные методы оптимизации реализованные для курса ВолгГТУ "Методы оптимизации"
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.
This repository consists of my assignment submissions for Mathematics in machine Learning course by Imperial College on Coursera.
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!
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.
Data Science With Python->Target: AI/ML
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
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.
My Collection of Certificates!
Notes from Mathematics for Machine Learning and Data Science Specialization
Notes taken during studying mathematics and machine learning
Linear Algebra; Multivariate Calculus; Optimization; Probability and Statistics; Phenomena in High Dimensions; Approximation Theory; Functional Analysis, etc..
Add a description, image, and links to the mathematics-machine-learning topic page so that developers can more easily learn about it.
To associate your repository with the mathematics-machine-learning topic, visit your repo's landing page and select "manage topics."