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Optimal Control by Prof. G.D. Ray,Department of Electrical Engineering,IIT Kharagpur.For more details on NPTEL visit ...

Lecture 22 : Tutorial Session - 4: Python implementation of Jacobi Method.

This video is part of the Mooc “Machine learning in Python with scikit-learn ” hosted on FUN platform: ...

In this video we are going to take a look at logistic regression. Unlike linear regression, analysis of variance (ANOVA), and ...

Parameter Estimation, Slope , Intercept, ANOVA, Residual, R-square.

Mamba is a new neural network architecture that came out this year, and it performs better than transformers at language ...

Lecture 13 : Tutorial Session - 2: Python Coding for Naive Gaussian Elimination Method.

Week 4: Tutorial 04 Part 01: Plotting In 1 D Using Python.

Professor Patrick Sturgis, NCRM director, in the first (of three) part of the Structural Equiation Modeling NCRM online course.

Course website: http://bit.ly/DLSP20-web Playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani Week 1: ...

Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st ...

Lecture 1 : Introduction.

Lecture 15: Regression.

Week 07: Lecture 34: Demand Forecasting using AI/ML: Building Regression Tree Model using Python.

All lesson resources are available at http://course.fast.ai.) In this lesson, we dive into backpropagation and the creation of a simple ...

Session 04: Mastering Searching Algorithms | Linear Search vs Binary Search Welcome to the 4th session of our 25-part series!

00:00:00 - Introduction 00:01:59 - Linear model and neural net from scratch 00:07:30 - Cleaning the data 00:26:46 - Setting up a ...

Heteroscedastic Residual, Multiple Linear Regression, ANOVA, K-fold cross-validation, Model adequacy.

10 cases help you to solving linear equations by computer program how to do the interpolation but that is somehow against ...

Advanced Numerical Analysis by Prof. Sachin C. Patwardhan,Department of Chemical Engineering,IIT Bombay.For more details ...

00:00 Introduction and survey 01:36 "Lesson 0" How to fast.ai 02:25 How to do a fastai lesson 04:28 How to not self-study 05:28 ...

Lecture 43 : Polynomial Interpolation: Implementation of Lagrange Form as Python Code.

Lecture 14 : Tutorial Session - 3: Python Coding for Thomas Algorithm.

Langdon White: Alright, so today we've heard about linear regression and least squares, but before we do that i'll talk a little bit ...

We implement a Wordle solver in Rust based off on the excellent 3blue1brown video on the same topic: ...