Innervu Knowledge Navigator

A Complete Guide To Linear Regression In Python

By Ekta Aggarwal
Published on Jan. 1, 2018

15 Types of Regression (With Examples)

By Deepanshu Bhalla
Published on Jan. 1, 2018

Random Forest for Bioinformatics

By Yanjun Qi et al
Published on None

Using Random Forest to Learn Imbalanced Data

By Chao Chen et al
Published on None

Numerical Optimization

By Jorge Nocedal et al
Published on None

Mathematics of Machine Learning

By Martin Lotz et al
Published on March 10, 2020

Random Forests

By Leo Breiman et al
Published on Jan. 10, 2001

A Practical Approach to Sizing Neural Networks

By Gerald Friedland et al
Published on Oct. 4, 2018

Evaluation Metrics CS229

By Anand Avati et al
Published on None

Pattern Recognition and Machine Learning

By Christopher M. Bishop et al
Published on June 10, 2006

Cost-Sensitive C4.5 with Post-Pruning and Competition

By Zilong Xu et al
Published on Aug. 21, 2018

Cost-Sensitive Support Vector Machines

By Hamed Masnadi-Shirazi et al
Published on None

Submission Quantum Neural Network Classifiers: A Tutorial

By Weikang Li et al
Published on July 12, 2022

Inference in Hidden Markov Models

By Olivier Cappé et al
Published on June 17, 2009

Deep Neural Networks as the Semi-Classical Limit of Topological Quantum Neural Networks: The Problem of Generalisation

By Antonino Marcianò et al
Published on None

Efﬁcient Learning of Sparse Ranking Functions

By Mark Stevens et al
Published on None

Imbalanced Classification: A Paradigm-Based Review

By Yang F. et al
Published on July 1, 2021

The Foundations of Cost-Sensitive Learning

By Charles Elkan et al
Published on None

Support-Vector Networks

By Corinna Cortes et al
Published on June 10, 1995