Get to see a unique industry experience with efficient data labeling via crowdsourcing - attend the Nov 11 #MLconfEU workshop led by researchers and engineers from @Yandexcom.
Dipanjan Sarkar & Sachin Dangayach look at key problems from Semiconductor & Manufacturing, and possible methodologies where they leveraged a combination of traditional CV techniques coupled with the power of deep transfer learning & #MachineLearning: buff.ly/3nuaMh7
By the end of @fransvandunne's talk, we will have dispelled the myth that R cannot be used in production at scale.
Even if you do not use R, you will have seen a use case to scale up analysis regardless of your language of choice: buff.ly/2UxaJ7K
.@BernhardSuhm describes the extent of automation available for the various steps in the #MachineLearning workflow and demonstrates #AutoML with a classifier for human activities based on accelerometer sensor data: buff.ly/32OP13J
It's important to mix the theory of innovation with the excitement of practicality, since we find innovation through their combination.
@robertlplummer shows from an engineering perspective how to explore, balance & ultimately bottle machined success: buff.ly/32JYwRG