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COVID-19 vaccine

Machine Learning Model to Quicken COVID-19 Vaccine Release and More – Weekly Guide

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It has been months since the coronavirus pandemic has made lives difficult for people around the world. A vaccine for this deadly disease is the only hope for restoring normalcy and is awaited by one and all. In recent developments, MIT has developed a machine learning model to speed up the release of the coronavirus […]

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roc curve

Understanding ROC (Receiver Operating Characteristic) Curve | What is ROC?

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What is the AUC – ROC Curve? AUC – ROC curve is a performance measurement for the classification problems at various threshold settings. ROC is a probability curve, and AUC represents the degree or measure of separability. It tells how much model is capable of distinguishing between classes. Higher the AUC, better the model is

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Humanoid for HR – Sentiment Analysis of the Interview candidate using AWS AI /ML services 

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Here is a report on a cloud computing project, Humanoid for HR, Sentiment Analysis of the interview candidate using AWS AI /ML services by Sachin Suvarna, Ganesh Pai, and Vikas Arora.  Objective Employees are a valuable resource for any organization. This makes the evaluation process of the employee even more important to handle for an

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linear algebra for machine learning

Linear Algebra for Machine Learning Examples, Uses and How it works?

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Linear algebra is the study of vector spaces, lines and planes, and mappings that are used for linear transforms. It was initially formalized in the 1800s to find the unknowns in linear equations systems, and hence it is relatively a young field of study. Linear Algebra is an essential field of mathematics that can also be called the

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pytorch vs tensorflow

PyTorch vs TensorFlow – Explained | What is the difference between PyTorch and TensorFlow?

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Contributed by: Arindam Sarkar LinkedIn Profile: www.linkedin.com/in/arindamxsarkar While starting with the journey of Deep Learning, also known as Neural Networking, one finds a host of frameworks and libraries in Python. Thus, the obvious dilemma of where to start and which one to pursue comes into the picture. This article is for those who have started

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bayesian network

Bayesian Networks : An Introduction | What is Bayesian Networks and Definition?

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Contributed by: Rachit Jain LinkedIn profile: https://www.linkedin.com/in/rachit-jain-37b63677/ The Bayesian network has given shape to most of the complex problems that provide less information and resources. It has been implemented in most of the advanced technologies like Artificial Intelligence and Machine learning. What is a Bayesian Network? A Bayesian network falls under the category of Probabilistic

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model evaluation metrics

Famous Machine Learning Metrics | Model Evaluation Metrics for Machine Learning

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Introduction Model and Performance Matrix Match Type of cut off approach in classification model Regression model performance parameters Classification model performance parameters Model Stability Contributed by: Rishabh Pandey LinkedIn profile: https://www.linkedin.com/in/rishabh1409/ Introduction Whenever you build a statistical or Machine Learning model, all the audiences including business stakeholders have only one question, what is model performance?

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