Machine Learning

Unparalleled growth in digital data combined with easy accessibility as well as affordability of up and coming technologies is enabling enterprises to explore machine learning services and solutions in order to overcome critical business challenges.With a deep domain expertise, an ability to co-innovate with flexible experimentation, an ever-growing partner ecosystem and a unique talent development model, the Grab Technology Solutions's team offers advanced machine learning services to assist enterprises in addressing various business cases.

Services

As a machine learning solutions provider, we enable rapid decision making, increased productivity, business process automation, and faster anomaly detection by using a myriad of techniques such as mathematical optimization, pattern recognition, computational intelligence and more.

• Deep Learning :-Deep learning is the bedrock of high-level synthetic intelligence. While machine learning focuses on available data and known properties, deep learning uses a layered approach of artificial neural networks to discover scalable solutions through predictive and prescriptive analysis. The model essentially learns, interacts, and performs complex tasks without human intervention.
• Supervised Learning :-This method relies on the training dataset to learn functions from inputs and meet the desired output values through methods like regression, classification & prediction. Multiple iterations ensure efficient mapping and accurate predictions of business outcomes. Yield superior results from our guided learning models, from spam filtering to improved products, meaningful insights, quick decision-making, risk analysis, and more.
• Unsupervised Learning :-Develop future-ready applications across different business cases that learn and adapt over time with usage by building models that explore, assess and process unstructured data and find some structure and insights within. Uncover hidden relationships, classify customer needs, target marketing campaigns, enable text understanding, and much more to reshape the operations of your business world.
• Reinforcement Learning :-The reinforcement learning model focuses on determining actions that can optimize performance and yield the best reward over time. This technique uses experimentative training to figure out how to achieve optimal results in a given environment and stay ahead of disruption. Its dynamic applications span the fields of navigation, robotics, gaming, telecommunications, and more.