Anastasia Zaharievawhenmathmetdata.hashnode.dev·Nov 28, 2024Day 11: Feature EngineeringWelcome to Day 11! Today, we’re focusing on feature engineering, one of the most creative and impactful stages in any data science project. Feature engineering involves creating, modifying, or selecting features to improve the performance of machine ...30 Days Data Science ChallengePython
Rushil RaviforPCam Dataset: CNN and Attention Analysispcam-dataset-cnn-and-attention-analysis.hashnode.dev·Nov 22, 2024Analyzing the PCam Dataset with CNNs and Attention MechanismsINTRODUCTION In this blog post, we explore the use of Convolutional Neural Networks (CNNs) and enhanced architectures with attention mechanisms for classifying the PatchCamelyon (PCam) dataset, a benchmark for detecting metastatic tissue in histopath...PCAM Dataset
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Nov 11, 2024Real World ML: Data TransformationsImagine spending months building a machine learning model, only to watch it fail spectacularly in production. Your accuracy plummets from 95% in testing to 60% in the real world. Frustrating, isn't it? Here's the twist: the problem likely isn't your ...Machine Learning
Anshul Gargmymlopsjourney.hashnode.dev·Nov 6, 2024Building Your Feature Store with AWS SageMaker: A Step-by-Step GuideAWS SageMaker Feature Store helps you manage, organize, and access your machine learning features in a centralized and efficient way. In this guide, you’ll learn how to create, store, and retrieve features with SageMaker Feature Store. Access the Not...mlops
Anshul Gargmymlopsjourney.hashnode.dev·Nov 5, 2024Introduction to Amazon SageMaker Feature StoreFeature engineering, where raw data is turned into valuable "features," is key in building effective machine learning models. Amazon SageMaker’s Feature Store makes it easy to manage, store, and share these features, helping data scientists and machi...mlops
Anshul Gargmymlopsjourney.hashnode.dev·Nov 4, 2024Feature Engineering with SageMaker ProcessingIntroduction In machine learning, pre-processing large datasets efficiently is a critical task. AWS SageMaker Processing offers a scalable, manageable way to run pre-processing, post-processing, and model evaluation on powerful managed clusters, free...AWS
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Nov 4, 2024Real-World ML: Feature Scaling in Machine LearningEver spent weeks perfecting your machine learning model, only to watch it fail spectacularly in production? You're not alone. A staggering 87% of machine learning projects never make it to production, and many that do perform poorly. Often, the culpr...Machine Learning
S.S.S DHYUTHIDHARsudheendra.hashnode.dev·Oct 10, 20246 Essential Steps to Building a Supervised Learning Model: A Beginner’s GuideHey Guys! This is Dhyuthidhar, Welcome to my Blog. If you don’t know me...", you could say "Hi, I’m Dhyuthidhar, and if you're new here, welcome! I love writing about all things Computer Science, especially in the realm of Machine Learning. Here is y...Machine Learning
Arthurarthurlevi.hashnode.dev·Oct 7, 2024Why Feature Engineering Is Vital For Data Science ProjectsPlaying with puzzles is quite similar to data science – finding the most suitable pieces and then fitting them in perfectly to create a clear vision. Feature engineering is still one of the most crucial elements of this big picture. Even if you have ...Data Science
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 12, 2024How to Boost Your Machine Learning Model with Feature EngineeringIn machine learning, feature engineering is often considered the secret sauce that can dramatically improve model performance. While algorithms and models receive a lot of attention, the quality of features plays an equally—if not more—important role...Machine LearningPython
