technology Machine learning steps: A complete guide for beginner in ML Explore essential steps in machine learning, from collecting data to model training, evaluation, tuning, and prediction. Discover how each phase refines models for accurate, data-driven insights in real-world applications.
SDG 12 Examples Of How AI Can Help In Education Education has always been a cornerstone of human civilization, helping to determine the course of both the futures of individuals and entire communities. Traditional Educational models, on the other hand, are finding it difficult to keep up with the rate of change as the world continues to evolve and become
Product Feature Update How model-assisted image labeling helps teams for faster AI? In recent years, artificial intelligence (AI) has become increasingly popular, and its potential applications have multiplied rapidly. One of the main components of AI is machine learning (ML), which involves training models to recognize patterns in data and make predictions based on those patterns. One of the most important tasks
case study How Perceptly Uses Image Similarity To Fasten Up Annotation Perceptly helps Ad agencies to analyze the real reason of what and why their creatives worked or not. Its creative optimization engine identifies messaging, visual and copy elements that are driving performance. They basically aim at providing personalized report insights from ads. They help in letting its customers know how
technology Labellerr: A self-hosted & secured data annotation platform In the world of data science, efficient and accurate labeling of data is crucial to ensuring successful Machine Learning applications. While an array of online tools exist to make data labeling easier, they often involve managing multiple vendor relationships, hosting external datasets on an alien server environment with limited accessibilities,
data annotation How to super fast data annotations process with automation? Lexi is a US-based data scientist and she is currently working on a data annotation project. She is looking for various methods to bring automation to data annotations. Let’s see what are the possible options for her. Data annotation is a critical process for capturing data that can provide
Product Feature Update Automating object detection AI development with Labellerr If you're a data scientist working in the AI and machine learning space, then you know how time-consuming it can be to label datasets manually. This process is critical for training object detection algorithms, but automation becomes essential with traditional methods of labeling datasets, often taking days or
Business Medical imaging AI will disrupt the healthcare industry sooner than we think The medical imaging AI will disrupt the healthcare industry, because it has the potential to help doctors, nurses and hospitals make better diagnoses. This technology is also expected to increase patient satisfaction, provide better care and reduce costs. The medical imaging industry is a $3.7 billion market, and it’
technology Object Detection: The Process Behind Autonomous Vehicle Tech Knowing where the other vehicles are on the road and being able to anticipate where they’re heading next and also determining things like how far away they are, which way they’re going, and how fast they’re moving is essential in an autonomous vehicle. Much the same way
