BigML's patent-pending algorithms and visualizations can help you harness the power of your data with unprecedented ease and reliability.
The team at BigML is made up of software industry and Machine Learning veterans who have solved complex business and scientific problems at scale in their prior experiences in turn witnessing the true power of Machine Learning. Although they were satisfied with the way Machine Learning can significantly improve efficiency in many settings, they were disappointed with the amount of effort (and at times duplication of effort among multiple IT and technical teams) it took to bring these systems to production environments, where they really make the biggest difference.
Incidentally, many people do not know that when they conduct a search on Google, book an apartment on Airbnb, hail a ride on Uber or even find out who they should be adding to their professional network on LinkedIn they are in fact interfacing with sophisticated Machine Learning systems in a seamless way. The catch is that the world is made up of many more organizations and businesses of all sizes who also deserve to benefit from these capabilities to run their operations more efficiently and profitably against the backdrop of ever increasing competitive forces.
BigML was founded in 2011 with the goal to reduce the barriers to deploying Machine Learning based solutions for everyone. Simply stated, BigML makes Machine Learning simple, elegant, easy to integrate, deploy, measure and automate. In other words, BigML is Machine Learning for everyone. This is possible through BigML's RESTful predictive API, as well as BigML's much celebrated web UI with unmatched data processing, model building, visualization and evaluation capabilities speeding up the learning process even for the uninitiated be they developers, IT professionals or business analysts.
Every profession has some secrets and Machine Learning is no exception. It is true that some solutions call for very specialized algorithms perhaps even coded from scratch to fit the need. With that said, with over half a century of Machine Learning history to reflect on it is no secret that a well-researched and proven subset of algorithms handle the heavy workload. This is simply the manifestation of the common Pareto Principle in the predictive analytics context. In a way this is BigML’s way of giving you pots, pans, forks, spoons, knives (and even a set of chopsticks) without complicating your life with banana hangers or an avocado de-pitters.
Guided by this fact and the first hand knowledge of one of the fathers of Machine Learning (Professor Thomas Dietterich), BigML has prioritized a versatile, explainable and powerful set of algorithms that will perfectly meet most organizations’ needs as they venture into advanced analytics realm. If there is a need to explore the remaining territory and/or customize the targeted solution to a greater extent, BigML can still help through its Virtual Private Cloud or On-Premises deployments that come with enhanced capabilities and professional services.
If the traditional commercial predictive analytics and Machine Learning toolset is akin to flying a long-haul airliner, you can think of BigML more as driving a car, much more accessible albeit with some modest learning curve of its own. Utilizing the BigML case examples and user guides as well as the documented Dashboard, APIs and bindings, you too can learn how to drive to success on your Machine Learning journey with BigML. So no PhDs in Theoretical Physics required.