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: https://t.co/7Rwz4tTApC
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: https://t.co/VaH6DRrkEI
.@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: https://t.co/35ryraho1Q
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: https://t.co/D6ATs66XpM
.@Thom_Wolf (@HuggingFace) introduces the recent breakthroughs in NLP that resulted from the combination of Transfer Learning schemes and Transformer architectures: https://t.co/elhZB7cjXy
In this lecture, @berilsirmacek briefly introduces how #ComputerVision (especially using the OpenCV library) and #MachineLearning can be used for creating detection and recognition models: https://t.co/flOtCx9Blv
It was a great honor to be one of the program committees of @MLconfEU. I met a lot of great people in the team, and I got to know amazing speakers from all around the world. I hope to see you next time again! 🥰
#ArtificialIntelligence#MachineLearning#MVPBuzz@MVPAward
Shivani Poddar (@Facebook) discusses when it's okay to use #MachineLearning, how to build these models with intelligent data, evaluate them offline, and finally how to validate this evaluation to land these models in production systems: https://t.co/PATU0gZenY
With modern APIs like #TensorFlow, much of the complexity is abstracted away in pre-built libraries, so you can focus on learning #MachineLearning.
@lmoroney (@Google) explains how he has used this to create courses with hundreds of thousands of students: https://t.co/06IFBJQIIi
Discover how to embrace machine learning in #JavaScript using #TensorFlow.js in the browser and beyond in this speedy #MLconfEU talk by @jason_mayes: https://t.co/yuKOW8jFYa
Engineers and scientists worldwide rely on @MATLAB to integrate AI in real-world applications: https://t.co/mCJToXx0Es
@infinite_red Academy offers in-person or online training with experienced engineers: https://t.co/aOkjtj2sJz
With 8M+ performers, Toloka is one of the largest crowdsourcing platforms globally. Designed by engineers for engineers, Toloka applies the best engineering & mathematical features to provide data labeling at scale. #MLconfEU
Learn more about Azure Machine learning at https://t.co/igy69xrtkW.
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#MLconfEU@MSDev_NL