Faire is an online wholesale marketplace built on the belief that the future is local -- independent retailers around the globe are doing more revenue than Walmart and Amazon combined. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town -- we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally.

Faire is an online wholesale marketplace built on the belief that the future is local -- there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town -- we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally.

Faire is an online wholesale marketplace built on the belief that the future of retail is local. There are over 1M independent retailers in the U.S. and Canada doing more than twice the revenue of Walmart and Amazon combined. At Faire, we're using the power of technology and data to connect a growing community of over 150,000 brands and independent retailers around the world. Picture your favorite boutique in town -- we help them discover the best products to sell in their stores. By empowering entrepreneurs with the right tools and insights, we believe that we can level the playing field so that small businesses can compete with big box and e-commerce giants.

Faire is an online wholesale marketplace built on the belief that the future is local -- there are over 1M independent retailers in the U.S. and Canada doing more than twice the revenue of Walmart and Amazon combined. At Faire, we're using the power of tech, data, and machine learning to connect a thriving community of over 100,000 brands and local retailers around the world. Picture your favorite boutique in town -- we help them discover the best products to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses can compete with these big box and ecommerce giants. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement.

There are plenty of add-on boards and HATs for the Raspberry Pi that add functionality to the computer, from simple things like LEDs or motor controllers, to sensor suites and enterprise security. The MATRIX Creator is something a little different, though, adding a huge number of functions in a bid to open up development with the Raspberry Pi to IoT and beyond. "The MATRIX Creator is an all-inclusive hardware device that connects to the GPIO pins on the Raspberry Pi and provides a means for any developer around the world to start making machine learning, computer vision, and Internet of Things applications within minutes," explains Rodolfo Saccoman, CEO of AdMobilize, the company behind the MATRIX. "We see it as being a building block for the democratisation of IoT and AI. Just as how the iPhone created an all-in-one hardware device that allowed developers to unleash their creativity and build amazing apps, which in turn revolutionised the world, we see the MATRIX Creator doing the same thing for a multitude of industries such as smart homes, intelligent buildings, robotics, security, industrial control, smart retail, drones, custom maker projects, and many more."

In this study, we propose an automatic learning method for variables selection based on Lasso in epidemiology context. One of the aim of this approach is to overcome the pretreatment of experts in medicine and epidemiology on collected data. These pretreatment consist in recoding some variables and to choose some interactions based on expertise. The approach proposed uses all available explanatory variables without treatment and generate automatically all interactions between them. This lead to high dimension. We use Lasso, one of the robust methods of variable selection in high dimension. To avoid over fitting a two levels cross-validation is used. Because the target variable is account variable and the lasso estimators are biased, variables selected by lasso are debiased by a GLM and used to predict the distribution of the main vector of malaria which is Anopheles. Results show that only few climatic and environmental variables are the mains factors associated to the malaria risk exposure.