Driverless AI is the latest product from H2O.ai aimed at lowering the barrier to making data science work in a corporate context. The tool assists non-technical employees with preparing data, calibrating parameters and determining the optimal algorithms for tackling specific business problems with machine learning. <\/p>\n
At the research level, machine learning problems are complex and unpredictable combining GANs and reinforcement learning in a never before seen use case takes finesse. But the reality is that a lot of corporates today use machine learning for relatively predictable problems evaluating default rates with a support vector machine, for example. <\/p>\n
But even these relatively straightforward problems are tough for non-technical employees to wrap their heads around. Companies are increasingly working data science into non-traditional sales and HR processes, attempting to train their way to costly innovation. <\/p>\n
All of H2O.ais products help to make AI more accessible, but Driverless AI takes things a step further by physically automating many of the tough decisions that need to be made when preparing a model. Driverless AI automates feature engineering, the process by which key variables are selected to build a model. <\/p>\n<\/p>\n
H2O built Driverless AI with popular use cases built-in, but it cant solve every machine learning problem. Ideally it can find and tune enough standard models to automate at least part of the long tail. <\/p>\n
The company alluded to todays release back in January when it launched Deep Water, a platform allowing its customers to take advantage of deep learning and GPUs. <\/p>\n
Were still in the very early days of machine learning automation. Google CEOSundar Pichai generated a lot of buzz at this years I\/O conference when he provided details on the companys efforts to create an AI tool that could automatically select the best model and characteristics to solve a machine learning problem with trial, error and a ton of compute. <\/p>\n
Driverless AI is an early step in the journey of democratizing and abstracting AI for non-technical users. You can download the tool and start experimenting here. <\/p>\n
<\/p>\n
The rest is here: <\/p>\n
H2O.ai's Driverless AI automates machine learning for businesses ... - TechCrunch<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Driverless AI is the latest product from H2O.ai aimed at lowering the barrier to making data science work in a corporate context. The tool assists non-technical employees with preparing data, calibrating parameters and determining the optimal algorithms for tackling specific business problems with machine learning Continue reading