Pinaki Laskar on LinkedIn: #machinelearning #computervision #NLP

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner A better way to build #machinelearning - why you should be using ActiveLearning? You spend less time and money on labelling data: Active learning has been shown to deliver large savings in data labelling across a wide range of tasks and data sets ranging from #computervision to #NLP. Since data labelling is one of the most expensive parts of training modern machine learning models this should be enough justification on its own. You get faster feedback on model performance: Usually people label their data before they train any models or get any feedback. Often, it takes days or weeks of iterating on #annotation guidelines and re-labelling only to discover that model performance falls far short of what is needed, or different labelled data is required.