64-bit computing, central processing unit, command-line interface, communication channel, computer, connecticut, fast food, internet, ios, library, message passing interface, multimedia messaging service, navigation, qnet, software , supercomputer, tank, telephone, text messaging, united states postal service, volkswagen, walmart, x86, x86-64
64-bit computing, a/b testing, analytics, android, android (operating system), app development, app store (ios/ipados), attention, audience engagement, backup, bit, building games, bundle (macos), c++, cocoa bean, compiler, computer file, computer hardware, crashlytics, custom experiences, databases, debugging, developers, dialog box, firebase, firebase developers, firebase features, firebase for games, firestore, game development, game development conference, game development event, game engine, gameplay, games, games and apps, games developers conference, games developers summit, gdc 2020, ggds, ggds 2021, github, google analytics, google developers, google for games, google for games 2021, google game development, google games, google gdc '20, google gdc 2020, google play services, googleforgames, graphics processing unit, idiom, ios, liveops, managing databases, microsoft windows, microtransaction, mobile app, mobile game, mobile gaming, mobile phone, monetization, native crash reporting, new features, new releases, nothing, optimizing the fun with firebase, package manager, parsing, pedophilia, personalization, playstation, powershell, pr_pr: google for games, program optimization, purpose: inform, radar, random-access memory, real-time computing, scaling databases, social media, software bug, software development kit, software testing, texture mapping, tool, type: conference talk (full production), unity, usability testing, video game, what's new with gdc, x86
16-bit computing, 32-bit computing, 64-bit computing, abstraction (computer science), android, android (operating system), android development, android game, android gpu, android graphics, apps, bit, central processing unit, clock, computer hardware, cpu cache, cryengine, design, electric battery, euclidean vector, exynos, floating-point arithmetic, game, game design, game development, game development conference, game development event, game graphics, game graphics optimization, game optmization, game performance, games, games and apps, gdc 2020, ggds, ggds 2021, gigabyte, github, google, google for games, google for games 2021, google game development, google games, google gdc '20, google gdc 2020, googleforgames, gpu inspector, graphics, graphics optimization, graphics processing unit, graphics tools, imagination, instruction pipelining, level of detail, liquor, mathematics, memory, mobile game, motorola droid, new features, new releases, opengl, opengl es, pr_pr: google for games, profiling (computer programming), program optimization, purpose: inform, qualcomm, rendering (computer graphics), samsung galaxy note series, samsung galaxy s10, samsung galaxy s21, screenshot, shader, tangent, texture mapping, thread (computing), type: conference talk (full production), video card, what's new in android graphics optimization tools, what's new with gdc
64-bit computing, android (operating system), api, automation, chromebook, chromecast, cloud computing, cloud gaming, command-line interface, developer, directx, game, game developer, game development conference, game development event, ggds, ggds 2021, google chrome, google for games, google for games 2021, google game development, google games, google stadia, googleforgames, library (computing), microsoft visual studio, mobile phone, porting, pr_pr: google for games, pricing, product lifecycle, profiling (computer programming), purpose: educate, reliability engineering, stadia, streaming media, system, tech, type: conference talk (full production), unity (game engine), use case, web browser
64-bit computing, android (operating system), api, automation, chromebook, chromecast, cloud computing, cloud gaming, command-line interface, developer, directx, game, game developer, game development conference, game development event, ggds, ggds 2021, google chrome, google for games, google for games 2021, google game development, google games, google stadia, googleforgames, library (computing), microsoft visual studio, mobile phone, porting, pr_pr: google for games, pricing, product lifecycle, profiling (computer programming), purpose: educate, reliability engineering, stadia, streaming media, system, tech, type: conference talk (full production), unity (game engine), use case, web browser
64-bit computing, android (operating system), api, automation, chromebook, chromecast, cloud computing, cloud gaming, command-line interface, developer, directx, game, game developer, game development conference, game development event, ggds, ggds 2021, google chrome, google for games, google for games 2021, google game development, google games, google stadia, googleforgames, library (computing), microsoft visual studio, mobile phone, porting, pr_pr: google for games, pricing, product lifecycle, profiling (computer programming), purpose: educate, reliability engineering, stadia, streaming media, system, tech, type: conference talk (full production), unity (game engine), use case, web browser
64-bit computing, achilles heel, array data structure, blue screen of death, breakpoint, central processing unit, computer hardware, core dump, graphical user interface, instruction set architecture, kernel (operating system), microsoft, microsoft windows, operating system, parameter (computer programming), password, patch (computing), register-transfer level, server (computing), software bug, subroutine, system, thread (computing), windows 10, windows xp, x86 debug register
Principal Data and Applied Scientist Manager at Microsoft Cloud and AI
64-bit computing, accuracy and precision, acm 2020, artificial intelligence, artificial neural network, association for computing machinery, big data, central processing unit, cloud computing, computer data storage, computer science 2020, computer science event 2020, computer vision, deep learning, documentation, forecasting, hyperparameter optimization, kdd2020, machine learning, microsoft, netflix, parallel computing, prediction, regression analysis, research, statistics, time series, training, validation, and test sets, visualization (graphics), weather forecasting, web service, world wide web
Principal Program Manager (Microsoft AI, Azure ML team) at Microsoft
64-bit computing, accuracy and precision, acm 2020, artificial intelligence, artificial neural network, association for computing machinery, big data, central processing unit, cloud computing, computer data storage, computer science 2020, computer science event 2020, computer vision, deep learning, documentation, forecasting, hyperparameter optimization, kdd2020, machine learning, microsoft, netflix, parallel computing, prediction, regression analysis, research, statistics, time series, training, validation, and test sets, visualization (graphics), weather forecasting, web service, world wide web
64-bit computing, accuracy and precision, acm 2020, artificial intelligence, artificial neural network, association for computing machinery, big data, central processing unit, cloud computing, computer data storage, computer science 2020, computer science event 2020, computer vision, deep learning, documentation, forecasting, hyperparameter optimization, kdd2020, machine learning, microsoft, netflix, parallel computing, prediction, regression analysis, research, statistics, time series, training, validation, and test sets, visualization (graphics), weather forecasting, web service, world wide web
64-bit computing, accuracy and precision, acm 2020, aniththa umamahesan, artificial intelligence, artificial neural network, ask the expert: fast-track development of production-ready ml models with azure | ate-db120, ask the experts, association for computing machinery, ate-db120, big data, central processing unit, cloud computing, computer data storage, computer science 2020, computer science event 2020, computer vision, db120, deep learning, digital breakout, documentation, fast-track development of production-ready ml models with azure machine learning | db120, forecasting, hyperparameter optimization, ig20, ignite, ignite 2020, kdd2020, lu zhang, machine learning, microsoft, microsoft ignite, microsoft ignite 2020, ms ignite, ms ignite 2020, msft ignite, msft ignite 2020, netflix, parallel computing, prediction, regression analysis, research, statistics, time series, training, validation, and test sets, vijai kannan, visualization (graphics), weather forecasting, web service, world wide web
We use cookies on this website to enhance your browsing experience, measure our audience, and to collect information useful to provide you with more relevant content. By continuing to use this website, by closing this box, or by clicking here, you are indicating your consent to our use of cookies.