https://www.youtube.com/watch?v=F-OizdRJh1U
Watch this talk by Lee Byron, a Co Creator of GraphQL to learn about the history of GraphQL. EVENT: Open Source Leadership Summit 2019 SPEAKER: Lee Byron PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=VjHWkBr3tjI https://www.youtube.com/watch?v=F-OizdRJh1U
Recent C++ standards have given us amazing tools for building easy to use and intuitive APIs. Despite this, C++ is still considered to be "too difficult" and "too complex." While that's a fairly subjective matter, the results are clear: new developers are reaching for technology perceived as easier to use/learn. In the world of game development we've seen a sharp rise in usage of software considered more approachable. Those approachable tools have contributed immensely to creating the thriving indie game development scene that exists today. With all the new tools C++ programmers have, it should be possible to build a game engine as approachable as the ones using other languages. This talk seeks to explore that space. A game engine's API can be very insightful into how it works. We will examine some design choices made by major players in the game engine space to understand how they work and where the industry is heading. From there we will look at how those interfaces can be built in C++, as well as how the features added in recent standards can be used to create even better interfaces. EVENT: C++Now 2018 SPEAKER: Allan Deutsch PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=W3ViIBnTTKA&t=160s https://www.youtube.com/watch?v=FmPZG4ETcMc
https://www.youtube.com/watch?v=PaL4-LmwrU0
Natural language processing is an umbrella term for several tasks, common tasks include document-classification, machine translation, and named-entity-recognition. Deep learning methods had revolutionized the NLP field, breaking state-of-the-art benchmarks in all of these fields. This workshop would focus on the named-entity-recognition (NER) with deep learning methods. The workshop is hands-on, meaning that participants are required to bring their own laptop with all the requirements installed. Python proficiency is assumed, and machine-learning background is a big plus. EVENT: PyData Tel Aviv 2019 PERMISSIONS: PyData provided Coding Tech with the permission to republish this video, https://www.youtube.com/watch?v=PaL4-LmwrU0