Sujit Nirmalblackshadow.hashnode.dev·Jan 10, 2025Understanding CNN Architecture and Other Neural ArchitecturesIntroduction to Neural Networks Neural networks are the backbone of modern artificial intelligence, enabling machines to learn from data and make decisions. Among the various types of neural networks, Convolutional Neural Networks (CNNs) are particul...Predcitvie Modeling
Tanvi AusareforLatest AI, ML & GPU Updates | NeevCloudblog.neevcloud.com·Nov 23, 2024How to Monitor Cloud GPU Use for Model Training and InferenceIn the evolving landscape of artificial intelligence (AI) and machine learning (ML), efficient resource utilization is critical. For AI Cloud environments and Cloud-based GPUs, monitoring utilization during model training and inference ensures cost-e...GPUai model training
Anshul Gargmymlopsjourney.hashnode.dev·Oct 23, 2024Feature Engineering with Amazon SageMakerIn this article, we’ll explore how to perform feature engineering using Amazon SageMaker. Feature engineering is a crucial step in building an effective machine learning model, as it transforms raw data into meaningful features that improve model per...#AmazonSageMaker
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...3 likesMachine Learning
Riya Boseblogbyriyabose.hashnode.dev·Oct 6, 2024From Script to Deployment: Building Efficient ML Pipelines with ZenMLIntroduction to Pipelines & Steps with ZenML When building machine learning models, organizing the development process efficiently is crucial. ZenML is a powerful framework that follows a pipeline-based approach to organize machine learning (ML) work...#MLPipelines
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 17, 2024A Comprehensive Guide to Binary Classification in Machine LearningBinary classification is a fundamental concept in machine learning where the goal is to classify data into one of two distinct classes or categories. It is widely used in various fields, including spam detection, medical diagnosis, customer churn pre...10 likes·162 readsMachine Learningspam detection
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 9, 2024How to Create and Train a Machine Learning Model from ScratchMachine learning (ML) has revolutionized the way we approach problem-solving, enabling computers to learn from data and make decisions or predictions. In this blog, we’ll walk through the process of creating and training a machine learning model from...223 readsMachine Learningbuild model
Niladri Dasniladridas.hashnode.dev·Aug 11, 2024Everything You Need to Know About XGBoostXGBoost (eXtreme Gradient Boosting) is a popular open-source machine learning library that provides a scalable and efficient way to perform gradient boosting. It works on Linux, Microsoft Windows, and macOS. It's widely used for classification and re...Interpretable
Rashid Ul Haqrashid-ul-haq.hashnode.dev·Jul 14, 2024Mastering Binary Classification with Pure TensorFlow: An In-Depth Step-by-Step GuideIn this blog post, we will dive into the world of binary classification using TensorFlow, covering essential concepts like variables, operations, gradients, and more. Binary classification is a fundamental task in machine learning, where the objectiv...10 likesDeep Learning UnpluggedCrossEntropy
Venkat Rvenkatr.hashnode.dev·Jul 12, 2024Exploring Generative AI and Synthetic DataGenerative AI (GenAI) and synthetic data are revolutionizing the way we approach data generation and utilization, particularly in training AI models. This comprehensive blog post delves into the essence of GenAI, the applications and benefits of synt...Generative AI (GenAI)
