Fourier Transform Maths Explained #fouriertransform #maths #mathematics
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Covariance vs correlation #machinelearning #statistics #datascience #deeplearning #maths
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Gaussian Mixture Models (GMM) Explained
In this video we we will delve into the fundamental concepts and mathematical foundations that drive Gaussian Mixture Models ...
XGBoost explained #datascience #machinelearning #statistics #xgboost #decisiontrees
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Bagging vs Boosting - Ensemble Learning In Machine Learning Explained
In this video I cover the Bagging (Bootstrap Aggregating) and Boosting ensemble learning algorithms that are commonly across ...
Markov Chains - Explained (w/ caps) #maths #statistics #machinelearning #datascience
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Linear Regression vs Maximum Likelihood #machinelearning #statistics #datascience
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T-Test vs Z-Test #maths #statistics #datascience #machinelearning #stats
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Multivariate Normal (Gaussian) Distribution Explained
In this video I explain what the multivariate normal distribution (or the multivariate gaussian distribution) is, together with the ...
Mel Frequency Cepstral Coefficients (MFCC) Explained
In this video I explain what the mel frequency cepstral coefficients (MFCC) are and what are the steps to compute them. Related ...
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