Multiclass Classification : Data Science Concepts
How do we predict MORE than 2 classes??? My Patreon : https://www.patreon.com/user?u=49277905
From playlist Data Science Concepts
11_2_1 The Geomtery of a Multivariable Function
Understanding the real-life 3D meaning of a multivariable function.
From playlist Advanced Calculus / Multivariable Calculus
Worldwide Calculus: Multi-Component Functions of a Single Variable
Lecture on 'Multi-Component Functions of a Single Variable' from 'Worldwide Multivariable Calculus'. For more lecture videos and $10 digital textbooks, visit www.centerofmath.org.
From playlist Worldwide Multivariable Calculus
PyTorch Tutorial 11 - Softmax and Cross Entropy
New Tutorial series about Deep Learning with PyTorch! ⭐ Check out Tabnine, the FREE AI-powered code completion tool I use to help me code faster: https://www.tabnine.com/?utm_source=youtube.com&utm_campaign=PythonEngineer * In this part we learn about the softmax function and the cross en
From playlist PyTorch Tutorials - Complete Beginner Course
Use AUC to evaluate multiclass problems
AUC is an excellent evaluation metric for binary classification, especially if you have class imbalance. New in scikit-learn 0.22: AUC can be used with multiclass problems! Supports "one-vs-one" and "one-vs-rest" strategies. 👉 New tips every TUESDAY and THURSDAY! 👈 🎥 Watch all tips: http
From playlist scikit-learn tips
11_3_5 When is a multivariable function continuous
Determining where is multivariable function is continuous.
From playlist Advanced Calculus / Multivariable Calculus
Multivariable Calculus: Cross Product
In this video we explore how to compute the cross product of two vectors using determinants.
From playlist Multivariable Calculus
(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
Worldwide Calculus: Euclidean Space
Lecture on 'Euclidean Space' from 'Worldwide Multivariable Calculus'. For more lecture videos and $10 digital textbooks, visit www.centerofmath.org.
From playlist Multivariable Spaces and Functions
A Characterization of Multiclass Learnability - Nataly Brukhim
Computer Science/Discrete Mathematics Seminar II Topic: A Characterization of Multiclass Learnability Speaker: Nataly Brukhim Affiliation: Princeton University Date: December 13, 2022 A seminal result in learning theory characterizes the PAC learnability of binary classes through the VC
From playlist Mathematics
Lecture 3 | Loss Functions and Optimization
Lecture 3 continues our discussion of linear classifiers. We introduce the idea of a loss function to quantify our unhappiness with a model’s predictions, and discuss two commonly used loss functions for image classification: the multiclass SVM loss and the multinomial logistic regression
From playlist Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017)
5 8 Text Classification Evaluation 7 17
From playlist CS124 - Full Course
11_4_1 The Derivative of the Composition of Functions
The composition of a multivariable function and a vector function and calculating its derivative.
From playlist Advanced Calculus / Multivariable Calculus
Multiclass Learning for Scikit Learn
We learn how to deal with multi class classification, multi-label and multiple output classification and regression. Associated Github Commit: https://github.com/knathanieltucker/bit-of-data-science-and-scikit-learn/blob/master/notebooks/Multiclass.ipynb Associated Scikit Links: http://s
From playlist A Bit of Data Science and Scikit Learn
More formal treatment of multivariable chain rule
For those of you who want to see how the multivariable chain rule looks in the context of the limit definitions of various forms of the derivative.
From playlist Multivariable calculus