Tag: supervised learning
Running ML on raw, unprocessed data
Running machine learning (ML) on raw, unprocessed data is a critical yet intricate process that forms the backbone of any successful ML project. This comprehensive guide delves into each step….
Ignoring community modules’ security risks
Ignoring Community Modules’ Security Risks: Understanding the Importance of Secure IaC Practices Introduction Infrastructure as Code (IaC) is one of the cornerstones of modern DevOps practices, enabling teams to automate….
Running conflicting IaC deployments
Running Conflicting IaC Deployments: Understanding the Challenges and Best Practices Introduction Infrastructure as Code (IaC) has become the foundation for modern DevOps practices, allowing teams to define, provision, and manage….
Predictive Maintenance
Predictive Maintenance: A Comprehensive Guide Predictive maintenance (PdM) is a data-driven approach that utilizes advanced analytics, machine learning, and artificial intelligence (AI) to monitor equipment and predict failures before they….
Image Classification with CNNs
Image Classification with Convolutional Neural Networks (CNNs) Introduction Image classification is a fundamental task in computer vision where an algorithm assigns a label to an image from a predefined set….
Sentiment Analysis
Sentiment Analysis – A Comprehensive Guide 1. Introduction to Sentiment Analysis Sentiment Analysis, also known as opinion mining, is a Natural Language Processing (NLP) technique that determines the emotional tone….
Implementing Logistic Regression
Logistic Regression is a supervised learning algorithm used for binary classification problems (e.g., spam detection, fraud detection). It predicts probabilities using the sigmoid function and maps outputs to either 0….
Implementing Linear Regression
What is Linear Regression? Linear Regression is a supervised learning algorithm used for predicting continuous values. It finds the best-fitting line (also called a regression line) to model the relationship….
Introduction to Machine Learning
Machine Learning (ML) is a subset of artificial intelligence (AI) that enables computers to learn patterns from data and make predictions or decisions without being explicitly programmed. It is widely….