Dataconomy

SEPTEMBER 1, 2023

The time has come for us to treat ML and AI algorithms as more than simple trends. We are no longer far from the concepts of AI and ML, and these products are preparing to become the hidden power behind medical prediction and diagnostics. SVM classifiers work by finding a hyperplane that separates the data points into two classes.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195

Pickl AI

FEBRUARY 12, 2024

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. What is cross-validation, and why is it used in Machine Learning?

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Anirudh Chandra Originally published on Towards AI. In our exercise, we will try to deal with this imbalance by — Using a stratified k-fold cross-validation technique to make sure our model’s aggregate metrics are not too optimistic (meaning: too good to be true!)

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40

Pickl AI

JULY 26, 2023

Unstable Support Vector Machines (SVM) Support Vector Machines can be prone to high variance if the kernel used is too complex or if the cost parameter is not properly tuned. Regular cross-validation and model evaluation are essential to maintain this equilibrium.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

Mlearning.ai

NOVEMBER 30, 2023

Mastering Tree-Based Models in Machine Learning: A Practical Guide to Decision Trees, Random Forests, and GBMs Image created by the author on Canva Ever wondered how machines make complex decisions? Just like a tree branches out, tree-based models in machine learning do something similar. Originally published at [link].

Machine Learning 52

Machine Learning Machine Learning Decision Trees Data Science 52

Heartbeat

OCTOBER 23, 2023

By analyzing historical data and utilizing predictive machine learning algorithms like BERT, ARIMA, Markov Chain Analysis, Principal Component Analysis, and Support Vector Machine, they can assess the likelihood of adverse events, such as hospital readmissions, and stratify patients based on risk profiles.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

DagsHub

APRIL 21, 2024

Especially in the current time when LLM models are making their way for several industry-based generative AI projects. PyTorch Developed by Facebook’s AI Research Lab (FAIR), PyTorch is a popular machine-learning framework that offers a flexible and dynamic approach to building and training neural networks.

Machine Learning 59

Machine Learning Machine Learning ML ML 59