The principal task of Supervised Learning is to deep dive into the labelled training data.
To depict the concealed structure without delving into the labelled training data.
A robot, a PC program, which associates with a dynamic environment to accomplish a specific goal.
Empower and Engage your data science platform by collaborating most effectively with data architects and business team to build and ceaselessly improve machine learning models with appropriate governance set up in place.
ONPASSIVE endeavours to attract the best worldwide ability focused on research brilliance in deep learning and machine learning. Our ML experts and analysts are a dynamic network of imaginative issue solvers, working across disciplines on both interests driven and associated research.
Every product that is built and envisioned depends on simplifying and bettering every task that we do now. As the science of Machine Learning develops further, our products will evolve and develop offering better highlights.
ONPASSIVE uses cohesive and robust technology in building its products. Its deep learning algorithms guarantee that every task you do today will enhance your machine tomorrow’s efficiency and productivity. Deep data analytics improves logical response system creating sentient machines that redefine the relationship we have with them.
ONPASSIVE aims to introduce products that are enabled by Unsupervised learning. It results in building a whole new league of applications that performs with minimum human intervention. We are moving on to a new era of technology, and ONPASSIVE intends to lead this move with a technology that reshapes the entire ecosystem of Intelligent Sentient Machines.
Our current ML-based products are enabled with advanced predictive technology that enhances intuitive response system making them highly interactive and efficient.
With integrated data analytics, each product can learn and evolve with every interaction giving a personalized service every time.
ONPASSIVE's ML-based products are built with core technology that assists in multi-level automation, which incorporates the output and the input of data.
We are here to truly “democratize AI”. Machine learning organizations today have been focused on assisting with building AI models, yet to truly democratize Artificial Intelligence and make it ready and accessible to everyone, organizations should be prepared to also ‘manage’ AI, not only build it. The AI talent gap is real, and we will help address it by reducing the reliance of expert engineers in managing AI frameworks.
Whatever your business nature, ordinary or difficult,we will be happy to serve you. Tell us your business plan and get assistance from our experts in AI services.
Machine learning is no longer a science fiction idea, and it has improved business operations in a variety of ways during the last few years.
Due to the availability of large volumes of data and increasingly affordable processing power, machine learning in finance has recently gained traction.