What is SVM?

Support Vector Machines (SVMs) are a powerful and versatile set of supervised machine learning algorithms used for classification, regression, and outlier detection. SVMs aim to find the optimal hyperplane that maximizes the margin between different classes in the feature space. They are effective in high-dimensional spaces and are relatively memory efficient.

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What other technologies are related to SVM?

SVM Competitor Technologies

Naive Bayes

Naive Bayes is a classification algorithm that, similar to SVM, can be used for classification tasks. It provides an alternative approach based on probabilistic modeling.

k-NN

k-Nearest Neighbors is a classification algorithm that is a competitor to SVM as it also performs classification, but uses a different method.

Decision Forests

Decision Forests (or Random Forests) are ensemble learning methods for classification and regression that are a competitor to SVM. They are a collection of decision trees.

Random Forest

Random Forest is an ensemble learning method for classification and regression that is a competitor to SVM. It is a collection of decision trees.

KNN

KNN (k-Nearest Neighbors) is a classification algorithm that is a competitor to SVM as it also performs classification, but uses a different method.

decision trees

Decision trees are a classification method, and are thus a competitor to SVM.

GBM

Gradient Boosting Machines are ensemble learning methods that can be used for classification and regression, offering an alternative approach to SVM.

neural networks

Neural networks are a broad class of machine learning models that can be used for classification and regression, providing a general alternative to SVM.

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SVM Complementary Technologies

PCA

Principal Component Analysis is a dimensionality reduction technique which can be used to pre-process the data before applying SVM, thereby improving performance.

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Which job functions commonly mention SVM?

Data Scientist

0.8% of all Data Scientist jobs mention SVM

View 2k jobs on Sumble

Machine Learning

0.4% of all Machine Learning jobs mention SVM

View 421 jobs on Sumble

AI Engineer

0.3% of all AI Engineer jobs mention SVM

View 228 jobs on Sumble

Data, Analytics & Machine Learning

0.2% of all Data, Analytics & Machine Learning jobs mention SVM

View 2.9k jobs on Sumble

Platform Engineer

0.1% of all Platform Engineer jobs mention SVM

View 66 jobs on Sumble

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Which organizations are mentioning SVM?

Standard Chartered Bank

Finance and Insurance

Oracle

Scientific and Technical Services

JPMorgan Chase

Finance and Insurance

Honeywell

Manufacturing

PwC

Professional Services

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