10 Machine Learning Algorithms You Need to Know in 2024
Explore ten essential Machine Learning algorithms for 2024, covering their applications, functions, and significance.
How Airbnb Uses Big Data and Machine Learning to Offer World-Class Service
Learn how Airbnb uses Big Data and Machine Learning to enhance user experience and operational efficiency.
Federated Learning in Machine Learning: Types and Examples
Federated Learning enables decentralised model training, improving privacy and efficiency. Examples include Google’s predictive text. It addresses privacy issues and reduces communication costs.
Learn About ROC Curve and AUC in Machine Learning
Explore ROC Curve and AUC in Machine Learning to evaluate model performance and effectiveness.
What are Convolutional Neural Networks? Explore Role and Features
Explore Convolutional Neural Networks (CNNs): essential for image recognition, object detection, and feature extraction in visual Data Analysis.
Artificial Neural Network: A Comprehensive Guide
Discover the fundamentals, applications, and future trends of Artificial Neural Network in AI.
What is Data Annotation? A In-depth Analysis
Discover the essentials of data annotation and its impact on Machine Learning and AI.
Passive and Active Learning in Machine Learning: A Comprehensive Guide
Passive vs. active learning: optimising data usage for better machine learning models.
Vertex AI: Guide to Google’s Unified Machine Learning Platform
Build, train, and deploy ML models at scale with Vertex AI.
Discovering Deep Boltzmann Machines (DBMs) in Deep Learning
Deep Boltzmann Machines (DBMs) model complex data distributions with deep, multi-layered architectures.