Talks

algorithm, c++, computer, dimension, graphics processing unit, speed, tensor, 64-bit computing, array data structure, cuda, cartesian coordinate system, control flow, for loop, function (mathematics), geodetic datum, geographic coordinate system, latitude, longitude, map, matrix (mathematics), number, polygon, sparse matrix, square root, subroutine

algorithm, artificial intelligence, cloud computing, compiler, data analytics, data visualization , geographic information system, graphics processing unit, machine learning, modeling, numpy, software , array data structure, cuda, computer file, infographic, login, project jupyter, python (programming language), raster graphics, shader, shading, stack (abstract data type), user (computing), vector graphics, multispectral image, shuttle radar topography mission, terrain cartography, scientific computing, rasterisation, artificial intelligence 2020, scipy2021, science research

artificial intelligence, astronomy , central processing unit, data science, engineering, graphics processing unit, machine learning, numpy, nvidia, python, science, software engineering, unit testing, cuda, correlation and dependence, dark energy, hyperparameter optimization, kernel (operating system), message passing interface, multi-core processor, parallel computing, physical cosmology, profiling (computer programming), supercomputer, surveying, telescope, diffraction, charge-coupled device, point spread function, optical spectrometer, quasar, python 2021, scipy2021, python tutorial, science research, python virtual conference

api, brand, c++, central processing unit, computer hardware, data science, engineering, flash memory, graphics processing unit, innovation, json, machine learning, mathematics, python, science, xml, array data structure, cuda, cython, data type, environment variable, input/output, integer, interface (computing), logarithm, message passing interface, method (computer programming), modular programming, profiling (computer programming), subroutine, variable (computer science), scientific computing, scientific computing conference 2021, scipy2021, technical computing , python virtual conference

artificial intelligence, bird, compiler, data science, deep learning, engineering, internet, learning, machine learning, music, neural network, neuroscience, prediction, python, reason, science, software engineering, abstraction, artificial neural network, bit, cuda, cancer, diesel engine, goal, graph (abstract data type), metallica, plato, potato, valuation (finance), word, decision tree, scientific computing, scipy2021, science research

api, artificial intelligence, central processing unit, deep learning, graphics processing unit, interoperability, machine learning, numpy, python, science, software engineering, cuda, communication protocol, computer data storage, exposure (photography), grayscale, image segmentation, interface (computing), library (computing), modular programming, package manager, parallel computing, python (programming language), retinopathy, software bug, software framework, solid-state drive, scientific computing, histogram equalization, geforce 10 series, scipy tutorial, technical computing , python tutorial, python virtual conference

artificial intelligence, c++, cloud computing, data science, energy, engineering, machine learning, physics, software development, atlas experiment, cern, cuda, higgs boson, large hadron collider, matter, parallel computing, parameter, particle physics, proton, supercomputer, universe, weak interaction, boson, dark matter, electromagnetism, scientific computing, fundamental interaction, physics beyond the standard model, scipy2021, technical computing , python tutorial, python virtual conference, nuclear force

api, bluetooth, computing, graphics processing unit, html, machine, mathematics, neural network, youtube, application software, bit, cuda, computer file, convolutional neural network, file system, graphical widget, julia (programming language), laptop, mnist database, pluto, server (computing), software release life cycle, iso 9660, juliahub, julia hoffman, newton's method

central processing unit, color, compiler, data, engineering, graphics processing unit, language, memory, mining, simulation, spider-man, cuda, construction, control flow, data structure, dynamic dispatch, global positioning system, graph (abstract data type), library (computing), parallel computing, polymorphism (computer science), program optimization, runtime system, virtual function, virtual memory, gpu computing, polymorphism

algorithm, computer, database, graphics processing unit, machine learning, neural network, open-source software, prediction, scalability, social network, system, video, amazon elastic compute cloud, application software, cuda, cartesian coordinate system, domain name system, function (mathematics), library (computing), online and offline, parallel computing, recommender system, server (computing), sparse matrix, von neumann architecture

automation, bluetooth, computer graphics, computer programming, concept, graphics processing unit, intel, internet, language, machine learning, machine learning tools, microcontroller, mind, nvidia, reason, software , tensorflow, abstraction, cuda, double-precision floating-point format, integrated circuit, pleasure, stack (abstract data type), world wide web, tinyml, computer science 2021, computer science conference 2021, computer science event, computer science event 2021, machine learning 2021, tinyml foundation, tinyml2021 panel discussion, tinyml talks 2021

automation, cloud computing, computer programming, computer security, computer vision, deep learning, graphics processing unit, hypervisor, internet of things, ios, nvidia, operating system, robotics, sustainability, sustainable development, wildfire, arm architecture, air pollution, cuda, chrome os, linaro, microsoft windows, radio-frequency identification, fujitsu a64fx

compiler, data science workflow, deep learning, neural network, numpy, python, pytorch, tensor, unit testing, array data type, artificial neural network, cuda, complex number, data type, error, fast fourier transform, floating-point arithmetic, hardware acceleration, inheritance (object-oriented programming), kernel (operating system), number, python (programming language), snippet (programming), subroutine, template (c++), eigenvalues and eigenvectors, python software foundation, pycon us, pycon us 2021, python talks 2021, pycon talks 2021, python 2021, python talk 2021, adding numpy operators to pytorch, api compatibility, data science workflow python, mike ruberry python, numpy operators, pytorch and hardware accelerators, randall hunt python, when pytorch is different from numpy, working with tensors, multiplicative inverse

algorithm, bitcoin, computer, cryptocurrency, engine, engineering, graphics processing unit, internet, mining, music, nvidia, pollution, reason, siri, technology, youtube, 32-bit computing, cuda, computer data storage, floating-point arithmetic, instruction set architecture, parallel computing, switch, tablet computer, performance per watt, ddr sdram

computer programming, data science, deep learning, graphics processing unit, linux, numpy, nvidia, operating system, python, scipy, software , source code, anaconda (python distribution), application software, bash (unix shell), cuda, command-line interface, computer cluster, hard link, julia (programming language), macintosh, microsoft windows, package manager, patch (computing), porting, text editor, binary runtime environment for wireless, conda

api, cloud computing, compiler, computer, computing, evolution, graphics processing unit, materials science, numpy, python, scipy, simulation, snapchat, time, cuda, force, inheritance (object-oriented programming), interface (computing), library (computing), message passing interface, molecular dynamics, monte carlo method, object (computer science), parallel computing, parameter, profiling (computer programming), snapshot (computer storage), temperature, material science, monte carlo methods, particle simulations

central processing unit, compiler, computer programming, gpu, graphics processing unit, machine learning, numba, numpy, nvidia, pixel, python, rapids, visualization, array data structure, cuda, fortran, general-purpose computing on graphics processing units, input/output, just-in-time compilation, kernel (operating system), library (computing), machine code, numerical analysis, parallel computing, pipeline (computing), python (programming language), rgb color model, shader, subroutine, high performance python, datashader, histogram equalization

api, computer programming, data science, high performance computing, interactivity, jupyter, numpy, pandas, performance, programmer, python, scalability, software , source code, cuda, computer program, control flow, fortran, hostname, interface (computing), library (computing), message passing interface, modular programming, network socket, parallel computing, project jupyter, python (programming language), runtime system, supercomputer, table (information), high performance python, interactive computing, scalable computing

compiler, computer programming, experience, feeling, gpu, graphics processing unit, library, machine learning, mind, netflix, nvidia, operating system, programming language, python, scipy, arm architecture, anaconda (python distribution), cuda, condom, e-governance, kodi (software), package manager, python (programming language), runtime system, stack (abstract data type), understanding, powerpc, conda

central processing unit, cloud computing, computer hardware, graphics processing unit, internet, kubernetes , nvidia, routing, scalability, self-driving car, simulation, software , tensorflow, cuda, computer data storage, computer network, infrastructure as a service, latency (engineering), nvlink, scientific visualization, solid-state drive, streaming media, supercomputer, world wide web, type: conference talk (full production);

2020, algorithm, amazon, amazon web services, analysis, aws, central processing unit, cloud computing, data science, deep learning, graphics processing unit, innovation, machine learning, nvidia, reason, semantics, software , software development, source code, technical, tensorflow, united states, attention, cuda, computer cluster, consensus (computer science), deployment environment, image segmentation, porting, requirement, level 300, aws events, aws summit online, may 13, track: machine learning, amazon ml

2020, africa, amazon, aws, canada, divorce, hypervisor, linux, machine, machine learning, shanghai, south africa, walmart, alabama, cuda, export, france, islam, servomechanism, zombie, aws events, aws summit online, elastic compute, may 13, level 200, cloud amazon ec2, compute, language track

2020, artifical intelligence, aws, budget, canada, experiment, gas, google, machine, machine learning, mining, music, prediction, amazon (company), amazon alexa, artificial cardiac pacemaker, cuda, detective, elijah, fish, laptop, massage, nikola tesla, orchestra, plasma (physics), pump, level 300, aws events, aws summit online, may 13, french language, gasoline pump

amazon web services, apache spark, big data, cloud computing, computer programming, data science, devops, graphics processing unit, java (programming language), machine learning, numpy, nvidia, pytorch, scikit-learn, software , tensorflow, twitter, apache hadoop, cuda, complexity, computer cluster, library (computing), mapreduce, parallel computing, thread (computing)

apache spark, c++, compiler, github, google search, graphics processing unit, numpy, scikit-learn, splunk, apache hadoop, breadth-first search, cuda, cluster analysis, component (graph theory), decision tree learning, domain name system, extract, transform, load, fast fourier transform, medium (website), nearest neighbor search, pagerank, string (computer science), strongly connected component, dbscan, spectrogram

algorithm, c++, computer programming, computing, google search, html, nvidia, programming language, software , ?:, anonymous function, blog, cuda, conditional (computer programming), control flow, for loop, general-purpose computing on graphics processing units, kodi (software), library (computing), lisp (programming language), list comprehension, parallel computing, parsing, world wide web, web scraping

amazon web services, apache arrow, central processing unit, graphics processing unit, machine learning, nvidia, regular expression, research, search engine optimization, software , tensorflow, airport, cuda, comma-separated values, cross-validation (statistics), hyperparameter (machine learning), hyperparameter optimization, imputation (statistics), missing data, parallel computing, parameter, parameter (computer programming), random forest, thumb signal, training, validation, and test sets

best practice, central processing unit, computer, debugging, deep learning, infrastructure, knowledge, memory, numpy, nvidia, question, reason, tensorflow, usability, accuracy and precision, artificial neural network, cuda, complexity, computer data storage, garbage collection (computer science), laptop, neuron, pointer (computer programming), variable (computer science), william shakespeare

#poweredbytf, #tfdevsummit, central processing unit, coding, colab, colab team, computer hardware, developers, google, google chrome, google developers, graphics processing unit, how colab works, html, learning, machine learning, make the most of colab, making the most of colab, privacy, resource, tensorflow, tensorflow dev summit, tensorflow dev summit 2020, tensorflow developer summit, tensorflow users, tf, tf dev summit 20, tf dev summit 2020, tips and tricks colab tips and tricks, cuda, computer data storage, computer memory, gmail, google account, google drive, laptop, library (computing), project jupyter, python (programming language), random-access memory, syntax (programming languages), web browser, workstation

apache arrow, cloud computing, database, databricks, graphics processing unit, machine learning, nvidia, statistics, user interface, cuda, cluster analysis, data type, dimensionality reduction, estimator, function (mathematics), hyperparameter (machine learning), hyperparameter optimization, k-nearest neighbors algorithm, parameter, statistical classification, support vector machine, ml (programming language), sample space