Japkeerat Singhjapkeeratsingh.com·Dec 11, 2024Is the Model making right predictions? - Part 3 of 5 on Evaluation of Machine Learning ModelsWhen it comes to evaluating machine learning models, picking the right metric is like picking the right outfit for an occasion—it can make or break your impression. Sure, accuracy and precision-recall are great, but they sometimes fall short. AUC-ROC...Machine LearningMachine Learning
Gabi Dobocanblog.telepat.io·Dec 6, 2024Leveraging Clustering-Based Data Splits for Enhanced Model Evaluation in Business ApplicationsIntroduction Businesses today are continually seeking new ways to optimize processes and gain competitive advantages through machine learning. Understanding how models perform in real-world settings, especially when applied to diverse data distributi...Clusterdatasplit Tool
Anshul Gargmymlopsjourney.hashnode.dev·Nov 14, 2024Automatic Model Tuning with Amazon SageMakerIn this article, we will explore how to perform automatic model tuning using Amazon SageMaker. This process helps optimize the performance of machine learning models by adjusting their hyperparameters. If you haven't already, please check out my prev...mlops
Anshul Gargmymlopsjourney.hashnode.dev·Nov 14, 2024Deploying a Serverless Machine Learning Model on AWS SageMakerIn this article, we will walk through the process of deploying a machine learning model using AWS SageMaker in a serverless manner. This guide serves as a prerequisite to my previous article on building a machine learning model with AWS SageMaker. If...mlops
Yash Chaudhariyash-chaudharis-blog.hashnode.dev·Nov 11, 2024Error Metrics in Regression and ClassificationHi there, in this post, I will discuss the metrics that are used to evaluate how accurate machine learning models are. I hope that helps. You can use this page as a cheat sheet. At its core, what we all do when deriving a machine learning model is ma...#MSE
Abu Precious O.btere.hashnode.dev·Nov 8, 2024When dataset is not the problem to low accuracy in Edge AIBuilding robust AI models for Edge applications, like predictive maintenance, is an intricate process, especially when these models are deployed in environments with limited resources like low-end devices like MCU, single board computer(SBCs), Mobile...Ai on the edge
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Finding the Best-Fit Line in Linear Regression – Manual Minimization vs. Gradient DescentWhen working with linear regression, the goal is to identify the best-fit line that captures the relationship between your input (independent) variable x and output (dependent) variable y. This line, represented by the equation: $$h_{\theta}(x) = \th...best fit line
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Residuals vs. Cost Functions: Key Differences in Machine Learning EvaluationWhen it comes to evaluating machine learning models, two key concepts stand out: residuals and cost functions. These terms play a crucial role in determining how well our model predicts outcomes. In this blog post, we will explore these concepts in d...residuals
Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Understanding Error Metrics in Regression: MSE, MAE, and RMSEWhen building predictive models, especially in regression tasks, evaluating their performance is crucial. This is where error metrics come into play. In this blog post, we will explore three common error metrics: Mean Squared Error (MSE), Mean Absolu...root mean square error
Indu Jawlacoders.hashnode.dev·Oct 14, 2024Understanding Machine Learning: Key Concepts and TechniquesMachine learning, a subfield of artificial intelligence, empowers computers to learn from data and make decisions without being explicitly programmed. It is typically categorized into two main types: supervised learning and unsupervised learning. Sup...Machine Learning
