Remove Cross Validation Remove Machine Learning Remove Support Vector Machines
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Top 8 Machine Learning Algorithms

Data Science Dojo

By understanding machine learning algorithms, you can appreciate the power of this technology and how it’s changing the world around you! Predict traffic jams by learning patterns in historical traffic data. Learn in detail about machine learning algorithms 2.

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A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM

Flipboard

The proposed Q-BGWO-SQSVM approach utilizes an improved quantum-inspired binary Grey Wolf Optimizer and combines it with SqueezeNet and Support Vector Machines to exhibit sophisticated performance. SqueezeNet’s fire modules and complex bypass mechanisms extract distinct features from mammography images.

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An Essential Introduction to SVM Algorithm in Machine Learning

Pickl AI

Summary: Support Vector Machine (SVM) is a supervised Machine Learning algorithm used for classification and regression tasks. Introduction Machine Learning has revolutionised various industries by enabling systems to learn from data and make informed decisions.

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Feature Selection Techniques in Machine Learning

Pickl AI

Summary : Feature selection in Machine Learning identifies and prioritises relevant features to improve model accuracy, reduce overfitting, and enhance computational efficiency. Introduction Feature selection in Machine Learning is identifying and selecting the most relevant features from a dataset to build efficient predictive models.

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Hyperparameters in Machine Learning: Categories  & Methods

Pickl AI

Summary: Hyperparameters in Machine Learning are essential for optimising model performance. They are set before training and influence learning rate and batch size. This summary explores hyperparameter categories, tuning techniques, and tools, emphasising their significance in the growing Machine Learning landscape.

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Gender detection from sound, How machine learning works?

Mlearning.ai

image from lexica.art Machine learning algorithms can be used to capture gender detection from sound by learning patterns and features in the audio data that are indicative of gender differences. Training a Machine Learning Model : The preprocessed features are used to train a machine learning model.

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Bias and Variance in Machine Learning

Pickl AI

The concepts of bias and variance in Machine Learning are two crucial aspects in the realm of statistical modelling and machine learning. Understanding these concepts is paramount for any data scientist, machine learning engineer, or researcher striving to build robust and accurate models.