Data Annotation for Machine Learning: A to Z Guide

Data Annotation for Machine Learning: A to Z Guide

The purpose of data annotation. Machine Learning Machine learning is embedded in AI and allows machines to perform specific tasks through training. With data annotation, it can learn about pretty much everything. Machine learning techniques can be described into four types: Unsupervised learning, Semi-Supervised Learning, Supervised Learning, and Reinforcement learning ▸Supervised Learning: The supervised learning…

Top 5 mobile testing trend in 2021

Top 5 Mobile Testing Trends in 2021

When B2C enterprises use mobile applications to attract consumers’ engagement in e-commerce, banking, and marketing; B2B firms use them to manage the company’s operations, tracking the performance of employees, and collaboration with partners. Come with the rising frequency of mobile application usage is the demand for increasing the application quality. If you want to update…

Hanh from Lotus Quality Assurance talking about 5 Important Data Annotation Tool Features in AI Data Labeling Tool: What you need to know

5 Important Data Annotation Tool Feature

Without a Data Annotation Tool, the AI Data Processing is impossible. Some might choose the open source tool, some might come for the vendor source tool or even develop their own tool. With either of these, it is essential for businesses to consider 5 features to find the most suitable one for their products: Dataset management Annotation…

AI in Agriculture: Transforming the future of farming

Agriculture is one of the oldest and most significant professions in the world. As the population continues to grow and land becomes scarce, people needed to get more efficient farming practices. AI (Artificial Intelligence) is now one of the best solution for the problem of the sector, helping farmers to organize farm data, plant healthier…