Provide the automatic differentiation for Likelihood maximization routine
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Jun 24, 2022 - Python
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loglikelihood
Here are 7 public repositories matching this topic...
GitHub repository for normal likelihood maximization and plotting in R
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Sep 7, 2023 - R
Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood
deep-learning neural-network test vector scalar irish mse dataset supervised-learning accuracy train activations cost-function loglikelihood accuracy-score cost-function-network nielson crossentropy irish-data depaul-university
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Jun 26, 2021 - Python
Contains work done for NLP Specialization courses from DeepLearning.AI
viterbi-algorithm machine-translation naive-bayes-classifier logistic-regression locality-sensitive-hashing ngrams cbow nlp-machine-learning wordembeddings loglikelihood partofspeech-tagger
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Jan 5, 2022 - Jupyter Notebook
This code predicts that how many customers having a simmons credit card, debit card,monthly spendings at thier apparel store would buy or not use the coupon sent. Afterwards it would provide a logistic regression model to conclude that to which customers the expensive SImmons Coupons should be sent. So that eventually it would maximize the benef…
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Jan 20, 2022 - Jupyter Notebook
A linguistic analysis of the utterances within all the great english language movies
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Apr 2, 2020 - PHP
This project demonstrates the segmentation of images using a Gaussian Mixture Model (GMM) and the Expectation-Maximization (EM) algorithm. The project applies these advanced machine learning techniques to segment both grayscale and color images, providing a comprehensive approach to image segmentation.
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Aug 9, 2024 - Python
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