Victor Uzoagbavictoru.hashnode.dev·Oct 29, 2024From Jupyter to Production: Streamlining ML Workflows in Saturn CloudAs machine learning (ML) workflows mature, so does the need for efficient, scalable production processes. While Jupyter notebooks have revolutionized the ML development phase, transitioning from experimentation to production presents unique challenge...Discussmachine learning models
Victor Uzoagbavictoru.hashnode.dev·Oct 28, 2024Building an ML Pipeline with Kubeflow: From Development to ProductionMachine Learning (ML) workloads in production require robust, scalable, and maintainable pipelines. Kubeflow provides a comprehensive solution for deploying ML workflows on Kubernetes, enabling data scientists and ML engineers to focus on model devel...DiscussMachine Learning
Fatima Jannetmahia.hashnode.dev·Oct 23, 2024Machine Learning Chapter 2.4: Support Vector Regression (SVR)Welcome to Machine Learning! Support vector regression was created in the 90s by Vladimir Vapnik and his team at Bell Labs, which was known as AT&T Bell Labs back then. But for now, we'll focus just on linear regression. Let's get started! SVR Intuit...DiscussMachine Learning (Python)Machine Learning
Alexis VANNSONalexisvannson.hashnode.dev·Sep 28, 2024FeaturedApplying Graph Neural Networks for Better Image ClassificationThis article explains how to adapt Graph Neural Networks (GNNs) for image classification. It covers the process from converting images into graphs to updating the model’s parameters. I explore how message passing and global pooling can enhance spatia...William Peltier and 1 other are discussing this2 people are discussing thisDiscuss·36 likes·311 readsgraph neural network
Victor Uzoagbavictoru.hashnode.dev·Sep 14, 2024Implementing Machine Learning for Intelligent Web Data ExtractionIntroduction In today’s digital age, the web is a massive repository of data. However, extracting meaningful and structured data from the web is a challenge due to the diversity of websites, unstructured content, and the constantly evolving web lands...DiscussMachine Learning
Alexis VANNSONalexisvannson.hashnode.dev·Sep 8, 2024How to Create a Pneumonia Detection Model with Convolutional Neural NetworksIn this article, I share my journey of implementing a Pneumonia detection model using convolutional neural networks with PyTorch. Starting from dataset preparation and transformation, I guide you through the process of splitting the dataset, defining...Discuss·77 readsimage classification
Ruhi Parveenitcourses0001.hashnode.dev·Aug 29, 2024How is Machine Learning Implemented in Data Science?Machine learning (ML) plays a pivotal role in data science, transforming raw data into actionable insights through sophisticated algorithms. It’s the backbone of predictive analytics, automation, and intelligent decision-making processes across vario...DiscussMachine Learning
Vivekheyvivek.com·Aug 14, 2024Friendly Machine Learning for the Web: Kickstart Your AI/ML Journey with JavaScript Using ML5 🚀Machine learning (ML) and artificial intelligence (AI) have become essential tools in today's technology landscape. However, diving into the world of ML can seem daunting, especially if you're not familiar with the complex mathematics and algorithms ...Discuss·10 likes·75 readsml5
Muhammad Fahad Bashirmfahadbashir.hashnode.dev·Aug 8, 20242. Comprehensive Overview of Data Types and Machine Learning ApproachesIn this second article of our AI and ML series, we will discuss the different types of data and machine learning methods. Understanding these concepts is essential, as data is the backbone of machine learning. The effectiveness of any model largely d...DiscussJourney of AI & ML - Navigation by M Fahaddatatypes
neurontistneurontist.hashnode.dev·Jul 22, 2024Common Mistakes in Machine Learning: Top 6 to AvoidStarting in machine learning can be exciting but also tricky. Many beginners make similar mistakes that can slow them down and cause frustration. Consistency is what we need to reach our goal. Knowing the errors beforehand makes it easier to achieve....DiscussMachine Learning