An Accessible Derivation of Linear Regression | by William Caicedo-Torres, PhD Towards Data Science - 22 Aug 2023 An Accessible Derivation of Linear Regression | by William Caicedo-Torres, PhD ... More
The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore–Penrose ... ScienceDirect.com - 17 Sep 2021 The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore–Penrose ... ... More
Theoretical Deep Dive Into Linear Regression | by Dr. Robert Kübler Towards Data Science - 23 Jun 2023 Theoretical Deep Dive Into Linear Regression | by Dr. Robert Kübler ... More
Mathematical operations and equation solving with reconfigurable metadevices | Light: Science & Applications Nature.com - 07 Sep 2022 Mathematical operations and equation solving with reconfigurable metadevices | Light: Science & Applications ... More
Deep Learning Book Notes, Chapter 2: Linear Algebra for Deep Learning Becoming Human: Artificial Intelligence Magazine - 16 Mar 2018 Deep Learning Book Notes, Chapter 2: Linear Algebra for Deep Learning ... More
Boost your data science skills. Learn linear algebra. KDnuggets - 03 May 2018 Boost your data science skills. Learn linear algebra. ... More
Extreme Learning Machine for Simple Classification | by Fabiansyah Cahyo DataDrivenInvestor - 22 Feb 2021 Extreme Learning Machine for Simple Classification | by Fabiansyah Cahyo ... More
Nodal flexibility and kinematic indeterminacy analyses of symmetric tensegrity structures using orbits of nodes ScienceDirect.com - 23 Jun 2020 Nodal flexibility and kinematic indeterminacy analyses of symmetric tensegrity structures using orbits of nodes ... More
Why gradient descent and normal equation are BAD for linear regression Towards Data Science - 12 Sep 2020 Why gradient descent and normal equation are BAD for linear regression ... More
Controlling electromagnetic surface waves with conformal transformation optics | Communications Physics Nature.com - 05 Aug 2023 Controlling electromagnetic surface waves with conformal transformation optics | Communications Physics ... More
Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks ScienceDirect.com - 24 Dec 2021 Structured nonnegative matrix factorization for traffic flow estimation of large cloud networks ... More
Perturbative approach to Markovian open quantum systems | Scientific Reports Nature.com - 08 May 2014 Perturbative approach to Markovian open quantum systems | Scientific Reports ... More
A non-iterative method for pruning hidden neurons in neural networks with random weights ScienceDirect.com - 11 Oct 2019 A non-iterative method for pruning hidden neurons in neural networks with random weights ... More
Prediction of the Vaccine-derived Poliovirus Outbreak Incidence: A Hybrid Machine Learning Approach | Scientific ... Nature.com - 19 Mar 2020 Prediction of the Vaccine-derived Poliovirus Outbreak Incidence: A Hybrid Machine Learning Approach | Scientific ... ... More
A comprehensive experimental evaluation of orthogonal polynomial expanded random vector functional link neural ... ScienceDirect.com - 11 Oct 2019 A comprehensive experimental evaluation of orthogonal polynomial expanded random vector functional link neural ... ... More
Visualisation of embedding relations (word2vec, BERT) | by Gergely D. Németh Towards Data Science - 15 Oct 2019 Visualisation of embedding relations (word2vec, BERT) | by Gergely D. Németh ... More
Fitting non-stationary time series | by Erich Zöchmann Towards Data Science - 30 Mar 2020 Fitting non-stationary time series | by Erich Zöchmann ... More
First-Order Multivariate Calibration in Laser-induced Breakdown Spectroscopy Towards Data Science - 16 Nov 2019 First-Order Multivariate Calibration in Laser-induced Breakdown Spectroscopy ... More
Least Squares Linear Regression In Python | by Cory Maklin Towards Data Science - 16 Aug 2019 Least Squares Linear Regression In Python | by Cory Maklin ... More