Anshul GargforMLOps Learning Journeymymlopsjourney.hashnode.dev路Oct 23, 2024Feature Engineering with Amazon SageMakerIn this article, we鈥檒l 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...Discuss#AmazonSageMaker
S.S.S DHYUTHIDHARsudheendra.hashnode.dev路Oct 10, 20246 Essential Steps to Building a Supervised Learning Model: A Beginner鈥檚 GuideHey Guys! This is Dhyuthidhar, Welcome to my Blog. If you don鈥檛 know me...", you could say "Hi, I鈥檓 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...DiscussMachine Learning
Riya Boseblogbyriyabose.hashnode.dev路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...Discuss#MLPipelines
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com路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...Discuss路10 likes路86 readsMachine Learningspam detection
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com路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鈥檒l walk through the process of creating and training a machine learning model from...Discuss路122 readsMachine Learningbuild model
Niladri Dasniladridas.hashnode.dev路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...DiscussInterpretable
Rashid Ul Haqrashid-ul-haq.hashnode.dev路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...Discuss路10 likesDeep Learning UnpluggedCrossEntropy
Venkat Rvenkatr.hashnode.dev路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...DiscussGenerative AI (GenAI)
Niladri Dasniladridas.hashnode.dev路Jul 6, 2024How to Detect and Track Objects in Real-Time with a MacBook Camera 馃摲In this blog post, we will discuss an exciting project that involves real-time object detection and tracking using a MacBook camera. This project combines computer vision and deep learning techniques to create a versatile application with various pra...DiscussObjectDetection
Juan Carlos Olamendyjuancolamendy.hashnode.dev路Jun 24, 2024How to Align with Model's Prediction with Real World OutcomesImagine you're building a model. You invest countless hours fine-tuning its parameters, enhancing its architecture, and optimizing its performance metrics. But, after deployment, you notice that the model's predicted probabilities don't align with re...DiscussMachine Learning
