No Python required – this session will highlight unique opportunities by bringing ML and linear algebra to Node.js with TensorFlow.js. Nick will highlight how you can get started using pre-trained models, train your own models, and run TensorFlow.js in various Node.js environments (server, IoT). EVENT:
NodeJS Interactive 2019 SPEAKER:
Ping Yu & Sandeep Gupta, Google PUBLICATION PERMISSIONS:
The Linux Foundation provided Coding Tech with the permission to republish NodeJS Interactive talks CREDITS:
Original video source: https://www.youtube.com/watch?v=L5jWvv0QTOs https://www.youtube.com/watch?v=cOIBOqKSYH4

We’ve learned to rely on sophisticated frameworks and fast engines so much that we’re slowly forgetting how computers work. With modern development tools, it’s easy to locate the exact code that’s slowing down your application, but what do you do next? Why exactly is it slow, and how do you make it fast? Time to regain the lost art of algorithmic performance optimization! Software performance is all about recognizing and eliminating unnecessary work. You can learn to do this intuitively, and eventually you’ll be able to write code that’s fast from the start, by default. Vladimir shows you how — on practical, real-world cases of optimizing popular open-source libraries, PR by PR. EVENT:
dotJS 2019 SPEAKER:
Vladimir Agafonkin PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed) ATTRIBUTION CREDITS:
Original video source: https://www.youtube.com/watch?v=bwA9i6wjfhw https://www.youtube.com/watch?v=owcvg2YZ7Y8

Transfer learning has been changing the NLP landscape tremendously since the release of BERT one year ago. Transformers of all kinds have emerged, dominate most research leaderboards and have made their way into industrial applications. In this talk we will dissect the paradigm of transfer learning and its effects on pipelines, modelling and the engineers mindset. EVENT:
PyData Warsaw 2019 SPEAKER:
Malte Pietsch PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks. CREDITS:
PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w https://www.youtube.com/watch?v=rO9OOA1RhaA