Category: AI/ML
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ML Concepts – Evaluation Matrix and Equations
There are several classifiers can be used to identify the model’s effectiveness. You can assess using the evaluation metrics such as Accuracy, Recall, F1 Score,
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ML Concepts – Loss Function in ANN
The Loss Function is one of the important components of Neural Networks. Loss is nothing but a prediction error of Neural Net. And the method
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ML Concepts – Loss Function in ANN
The Loss Function is one of the important components of Neural Networks. Loss is nothing but a prediction error of Neural Net. And the method
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ML Concepts – Optimization Algorithm for Training Neural Network Model
Optimizers are algorithms or methods used to change the attributes of your neural network such as weights and learning rate in order to reduce the
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ML Concepts – Linear Regression vs Logistic Regression
Classification Regression Analysis Linear vs Logistic Regression More about Logistic Regression Steps in Preparing Model using Logistic Regression
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ML Concepts – Linear Regression vs Logistic Regression
Classification Regression Analysis Linear vs Logistic Regression More about Logistic Regression Steps in Preparing Model using Logistic Regression
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ML Concepts – Understanding the Dataset
What is Dataset? Usually dataset refers to the data that you have, it is combined of both dependent as well as independent variables. In ML
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ML Concepts – Understanding the Dataset
What is Dataset? Usually dataset refers to the data that you have, it is combined of both dependent as well as independent variables. In ML
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ML Concepts – Classification vs Regression
Classification Regression – Classification is the task of predicting a discrete class label.– In a classification problem data is labelled into one of two or
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ML Concepts – Classification vs Regression
Classification Regression – Classification is the task of predicting a discrete class label.– In a classification problem data is labelled into one of two or
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About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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