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

Mlearning.ai

MAY 20, 2023

Data Preprocessing: The extracted features may undergo preprocessing steps such as normalization, scaling, or dimensionality reduction to ensure compatibility and optimal performance for the machine learning model. Training a Machine Learning Model : The preprocessed features are used to train a machine learning model.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines Cross Validation 52

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

Towards AI

JULY 19, 2023

(Check out the previous post to get a primer on the terms used) Outline Dealing with Class Imbalance Choosing a Machine Learning model Measures of Performance Data Preparation Stratified k-fold Cross-Validation Model Building Consolidating Results 1. among supervised models and k-nearest neighbors, DBSCAN, etc.,

Machine Learning 40

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

Mlearning.ai

FEBRUARY 15, 2023

Prediction of Solar Irradiation Using Quantum Support Vector Machine Learning Algorithm. Submission Suggestions Text Classification in NLP using Cross Validation and BERT was originally published in MLearning.ai Smart Grid and Renewable Energy , 07 (12), 293–301. link] Ganaie, M. Tanveer, M., & Suganthan, P.

Cross Validation 52

Cross Validation Decision Trees Natural Language Processing Algorithm 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

Mlearning.ai

MAY 23, 2023

Another example can be the algorithm of a support vector machine. Hence, we have various classification algorithms in machine learning like logistic regression, support vector machine, decision trees, Naive Bayes classifier, etc. What are Support Vectors in SVM (Support Vector Machine)?

Data Science 52

Data Science Decision Trees Deep Learning Deep Learning 52