Avdhesh Varshneyavdhesh-blogs.hashnode.dev·a day agoNLP Pipeline from Data Acquisition to DeploymentWhat is NLP Pipeline? NLP is a set of steps followed to build an end-to-end NLP software. Pipeline provides the thinking to build any app from a basic level up to advanced or real time used applications. NLP software consists of the following steps...DiscussPipeline
Parasai-powered-personal-assistants.hashnode.dev·Nov 18, 2024The Future of ETL Workflows: Automated and AI-Powered Approaches in 2025Extract, Transform, and Load (ETL) workflows have long been the backbone of data integration, enabling organizations to move, clean, and prepare data for analysis. However, with the exponential growth of data and the rise of artificial intelligence (...DiscussArtificial Intelligence
Parasai-powered-personal-assistants.hashnode.dev·Nov 14, 2024Supervised Learning: The Backbone of Modern Machine Learning ModelsIn the era of artificial intelligence and machine learning, supervised learning stands out as a fundamental approach for building powerful and efficient models. Whether it’s predicting stock prices, diagnosing diseases, or enabling facial recognition...Discuss·1 likeSupervised learning
Fatima Jannetmahia.hashnode.dev·Nov 13, 2024Machine Learning Chapter 5: Association Rule LearningWelcome to Part 5 - Association Rule Learning! ARL - Apriori Intuition Before starting, i wanna tell you an urban legend in data science. This is not a myth, it actually happened a long time ago. Well the legend got distorted over time but here it is...Discuss·1 like·28 readsMachine Learning (Python)#Marketing strategy
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...DiscussAi on the edge
Fatima Jannetmahia.hashnode.dev·Nov 4, 2024ML Classification 3.5: Naive BayesHello and welcome back to the blog of machine learning. Today we will learn about Bayes theorem. Our main focus for this blog is on naive but we can’t proceed to it without Bayes theorem so here it is. Question Why is this algorithm called the native...Discuss·2 likes·44 readsMachine Learning (Python)Machine Learning
Fatima Jannetmahia.hashnode.dev·Nov 1, 2024ML Classification 3.4: Kernel SVMHello and welcome back to machine learning. Previously we learned about linear support vector machine algorithm. Today we’ll learn the kernel support vector algorithm. Let’s start Kernel SVM Intuition As you can recall, in the support vector machine ...Discuss·1 like·59 readsMachine Learning (Python)Machine Learning
Fatima Jannetmahia.hashnode.dev·Oct 30, 2024ML Classification: Support Vector Machine (SVM)Support Vector Machines (SVMs) were initially developed in the 1960s and refined in the 1990s. Currently, they are becoming very popular in machine learning because they have demonstrating that they are very powerful and somewhat different from other...Discuss·3 likes·37 readsMachine Learning (Python)Machine Learning
Fatima Jannetmahia.hashnode.dev·Oct 29, 2024ML Classification: K-NN (K-Nearest Neighbor)Hello and welcome back to the ML blogs. Today we will learn about the K nearest neighbor. Let’s get started! Intuition Let’s say you have a plot where you have two types of category, red data and green data. Now, if a new data point appears where sho...Discuss·28 readsMachine Learning (Python)K-NN
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
