mathematics-machine-learning
There are 9 repositories under mathematics-machine-learning topic.
AdityaGupta030697 / Mathematics-for-Machine-Learning
This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London
Language:Jupyter Notebook 34avdosev / optimization_methods
Численные методы оптимизации реализованные для курса ВолгГТУ "Методы оптимизации"
Language:Python 17EsterHlav / Dynamical-Isometry-from-Orthogonality-Neural-Nets
Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.
Language:Jupyter Notebook 17kushalshm1 / Machine-Learning
Explanation of Mathematics used in Machine Learning Algorithms and some Projects
Language:Jupyter Notebook 11claramatos / math-for-ml
Blank notebooks and solutions for the Mathematics for Machine Learning specialization by Imperial College of London on Coursera.
Language:Jupyter Notebook 8manvimadandotai / Mathematics-for-Machine-Learning-
This repository consists of my assignment submissions for Mathematics in machine Learning course by Imperial College on Coursera.
Language:Jupyter Notebook 4Phantom-fs / Mathematics-for-Machine-Learning
MATHEMATICS FOR MACHINE LEARNING Coursera Specialization by IMPERIAL COLLEGE LONDON
courseracoursera-machine-learningcoursera-specializationeigenvalueseigenvectorsimperial-college-londonlinear-algebramachine-learningmathematics-machine-learningmultivariate-calculusprincipal-component-analysissolutionsmathematics-for-machine-learning-linear-algebramathematics-for-machine-learning-pcamathematics-for-machine-learning-multivariatecalculusvectormathematics-for-machine-learning-calculusmathematics-for-mlmathematics-for-computerscienceLanguage:Jupyter Notebook 3Timothy102 / plot
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.
Language:Go 3ftrifoglio / math-for-ml
Notes from Mathematics for Machine Learning and Data Science Specialization
Language:Jupyter Notebook 2ngmsonn / Awesome_Machine_Learning
Awesome resources for learning, practicing, and researching Machine Learning.
TheKidPadra / Mathematics_for_Machine_Learning
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.
Language:Jupyter Notebook 2wj-jason / Neural-Networks-From-Scratch
A walk through of the creation of a deep neural network from scratch!
Language:Python 2BanaanKiamanesh / Certifs
My Collection of Certificates!
- Language:Jupyter Notebook 1
Daniel-Sinkin / Research-and-Development
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.
Language:Jupyter Notebook 1- Data-Science-With-Python
jsdhami / Data-Science-With-Python
Data Science With Python->Target: AI/ML
Language:HTML 1 moiseyalaev / CNN-Personal-Research
Personal Research on the mathematical foundation of CNNs as well as my first computer vision problem
Language:Jupyter Notebook 1PyDataPune / PyData_Pune_Gang_Up-I
Official Repository for Pydata Pune Meetup - Gang Up -I
Language:HTML 1prtkmishra / Misc_Python_others
Repo contains miscellaneous programs
Language:Python 0- blog
replaybuffer / blog
Replay Buffer is a blog on machine learning, computer science and mathematics.
Language:HTML 0 scottschmidl / anonymous_data_scientist
Anonymous Data Scientist
Language:Python 0VasiaKoum / Pattern-Recognition-ML
Assignments for lesson: Pattern Recognition - Machine Learning (UOA)
Language:Jupyter Notebook 0- Language:Jupyter Notebook
MamouneElBoukfaoui / Machine-learning-Random-regression-forests-project
Research project on random forests and how can one improve their prediction accuracy for the NASA airfoil learning problem using mathematical analysis
omkarfadtare / Essential
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.
RealNicolasBourbaki / Mathmatics-for-Machine-Learning
Linear Algebra; Multivariate Calculus; Optimization; Probability and Statistics; Phenomena in High Dimensions; Approximation Theory; Functional Analysis, etc..
rkrmech2ml / projects
I)Testing and practicing different machine learning algorithms II) Mathematical modeling and simulation algorithms.
Language:Jupyter NotebookTENS0RFlowJS / mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
Language:Jupyter Notebook
