Machine Learning Mastery

DECEMBER 30, 2022

Last Updated on December 30, 2022 In the previous session of our PyTorch series, we demonstrated how badly initialized weights can impact the accuracy of a classification model when mean square error (MSE) loss is used. We noticed that the model didn’t converge during training and its accuracy was also significantly reduced.

Deep Learning 238

Deep Learning Deep Learning 238

Mlearning.ai

MARCH 1, 2023

Implementation of loss functions for classification task in Python Here is the link to the Kaggle notebook code. What are the loss functions? How to select a loss function for a binary vs. multi-class classification? Let’s start with: What are the loss functions? How to select a loss function for your task?

Support Vector Machines 52

Support Vector Machines Machine Learning Machine Learning Python 52

The MLOps Blog

DECEMBER 19, 2022

1 KNN 2 Decision Tree 3 Random Forest 4 Naive Bayes 5 Deep Learning using Cross Entropy Loss To some extent, Logistic Regression and SVM can also be leveraged to solve a multi-class classification problem by fitting multiple binary classifiers using a one-vs-all or one-vs-one strategy.

ML 52

ML ML Algorithm Deep Learning 52

Heartbeat

FEBRUARY 22, 2023

Background Information Decision trees, random forests, and linear regression are just a few examples of classic machine-learning models that have been used extensively in business for years. This article delves into using deep learning to enhance the effectiveness of classic ML models.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52