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.

I just received a package from @MLconfEU which included some nice stickers and this cool mask for being one of the program committees. Thank you a lot!!! #MlConfEU #MVPBuzz @MVPAward @GitNationOrg #WearAMask #WearAMaskSaveLives

Thank you so much @MLconfEU @GitNationOrg for having me as a speaker at the @MLconfEU and thank you so much for the presents!

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:

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:

.@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:

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:

.@Thom_Wolf (@HuggingFace) introduces the recent breakthroughs in NLP that resulted from the combination of Transfer Learning schemes and Transformer architectures:

In this lecture, @berilsirmacek briefly introduces how #ComputerVision (especially using the OpenCV library) and #MachineLearning can be used for creating detection and recognition models:

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:

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:

We're very grateful for the work our program committee put into the selection of #MLconfEU speakers. 💙 Big thanks to @GantLaborde, @RisingSayak, Dmitry Soshnikov, @EvePardi, Yuriy Guts, @lc0d3r.

Discover how to embrace machine learning in #JavaScript using #TensorFlow.js in the browser and beyond in this speedy #MLconfEU talk by @jason_mayes:

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:

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.   If you’d like to stay informed on dev news, tutorials, and events then subscribe to the Monthly Developer Community newsletter Microsoft.source: https://t.co/PP6l1bBjeH   #MLconfEU @MSDev_NL

@amuellerml hitting the stage now #MLconfEU :D looking so much forward to this!

While your descriptive statistics might suggest your data is all the same, you might get a few surprises when you visualize your data 🦖⭐️🏀😂 #MLconfEU

Marco Gorelli on maintainable Jupyter Notebooks #MLconfEU