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Ryota-Kawamura / Mathematics-for-Machine-Learning-and-Data-Science-Specialization

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Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

machine-learning calculus linear-regression linear-algebra probability mathematics gradient-descent bayesian-statistics linear-equation mathematical-optimization determinants eigenvalues-and-eigenvectors
  • Updated Jul 10, 2023
  • Jupyter Notebook

shantanu1109 / Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

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This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

reinforcement-learning tensorflow linear-regression xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent tree-ensemble kmeans-clustering anomaly-detection supervised-machine-learning unsupervised-machine-learning multiple-linear-regression
  • Updated Jan 25, 2023
  • Jupyter Notebook

hiroyuki-kasai / NMFLibrary

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NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

matrix-factorization constrained-optimization data-analysis robust-optimization gradient-descent matlab-toolbox clustering-algorithm optimization-algorithms nmf online-learning stochastic-optimizers nonnegativity-constraints orthogonal divergence probabilistic-matrix-factorization nonnegative-matrix-factorization sparse-representations
  • Updated Feb 24, 2023
  • MATLAB

agrawal-priyank / machine-learning-regression

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Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

python machine-learning linear-regression coursera gradient-descent ridge-regression polynomial-regression university-of-washington house-price-prediction multiple-regression machine-learning-regression
  • Updated Aug 18, 2026
  • Jupyter Notebook

krishnakumarsekar / awesome-machine-learning-deep-learning-mathematics

Star 231

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

machine-learning algorithm deep-learning static-analysis linear-algebra probability mathematics gradient-descent approximation-algorithms machine-learning-mathematics deep-learning-mathematics advanced-probability
  • Updated Aug 11, 2017

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