Machine Learning & AI technology enables machines to learn & understand from experience without well-defined programming or human intervention. Machine Learning, along with IoT, Data annotation services & AI is likely to push India’s cloud market to $7.1 billion by 2022. Basically, Machine learning means learning from data, but...
Basically, Data annotation is the process of detecting and tagging unstructured data to structured datasets for Machine Learning algorithms. The process is both manual and assisted by software. So, Data annotation services are used when constructing Machine learning algorithms for major industries like autonomous vehicles, healthcare, finance, entertainment, e-commerce...
Healthcare  Data Labeling services help machines to learn various patterns and correlate the results and then use the data sets to recognize similar patterns in the future to predict the results. Humans are powering machine learning through data labeling services, to train accurately machine learning algorithms. Data labeling helps...
Our trained NLP annotators can help deliver language annotation workloads at scale. Irrespective of your needs ranging from question-answer systems to document classification we can help you achieve results faster from your ML and AI algorithms. Convert your unstructured data into actionable insights. Our Natural Language Processing services support...
The deadly coronavirus (Covid 19) emerged in Wuhan, China, in December, triggering a global health emergency. With the coronavirus spreading in many countries artificial intelligence researchers are implementing machine learning techniques to social media, web, news and other data sources for subtle signs that the disease may be spreading...
Learning Spiral provides human-assisted data labeling and annotation services for a variety of companies working in deploying Machine Learning algorithms at scale. Data annotation is basically the task of labeling data, which can be in the form of text, audio, images, video, etc.This annotation helps bridge the gap between...