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Jared Lander
Chief Data Scientist at Lander Analytics
64-bit computing, accuracy and precision, ai, algorithm, anomaly detection, api, argument, array data structure, artificial neural network, autoregressive integrated moving average, average, baby bottle, betamax, bias–variance tradeoff, binary classification, bit, breast milk, c++, cartesian coordinate system, categorical variable, clinical trial, comma-separated values, command-line interface, computer, computer file, computer programming, computer virus, computing, confidence interval, control flow, cuda, data science, database, decision tree learning, deep learning, dependent and independent variables, derivative, dimension, directory (computing), early stopping, elastic net regularization, estimator, euclidean vector, explainable ai, field (mathematics), food and drug administration, for loop, forecasting, function (mathematics), generalized linear model, geodetic datum, geographic coordinate system, github, graphics processing unit, grid computing, histogram, hyperparameter (machine learning), intelligence, interface (computing), java (programming language), job shop scheduling, knapsack problem, lasso (statistics), latitude, library (computing), linear equation, linux, logarithm, logistic regression, longitude, loss function, machine learning, map, mathematical optimization, mathematics, matrix (mathematics), mean, microsoft excel, microsoft sql server, multilingualism, nap, neural network, number, odsc, odsc india, outlier, overfitting, path (computing), pizza, polygon, prediction, predictive maintenance, prescription drug, prophet, python (programming language), random forest, random walk, regression analysis, regularized least squares, sas (software), server (computing), slack (software), slope, sparse matrix, speed, square root, standard deviation, statistical classification, statistics, stochastic gradient descent, subroutine, supervised learning, targeted advertising, tensor, tensorflow, time series, time zone, tinder (app), training, validation, and test sets, transpose, united states, variance, xai
Mark Zhandry
Assistant Professor at Princeton University and Senior Scientist at NTT Research
Michael Foss-Feig
Principal Theoretical Physicist at Honeywell Quantum Solutions
approximation, biology, chemistry, control flow, energy, entropy, entropy of entanglement, evolution, experiment, gas, gravity, matter, observable, phase transition, physics, quantum circuit, quantum computing, quantum entanglement, quantum error correction, quantum logic gate, solar cell, spin (physics), superconductivity, tensor, time
Jon Krohn
Chief Data Scientist at untapt
#datascience, #datasciencevenndiagram, #investing, #podcast, #r, #superdatascience, algorithm, artificial neuron, automatic differentiation, brain, c++, compiler, computer programming, computer vision, convolutional neural network, deep learning, google brain, input/output, library (computing), linguistics, machine learning, machine translation, machine vision, numpy, pixel, project jupyter, pytorch, software , speech recognition, tensor, tensorflow
Juan Pablo Romero
Full Stack Software Engineer at Apple
associative property, binary operation, bit, category theory, computer science, database, feedback, function (mathematics), function composition, graph (discrete mathematics), interpretation (logic), interpreter (computing), isomorphism, knot, language, matrix (mathematics), matrix multiplication, natural number, quantum computing, science, symmetry, tensor, tensor product, theory, usb
Jinguo Liu
Postdoctoral Researcher at Chinease Academy of Sciences
algebra, algorithm, complexity, degeneracy (graph theory), euclidean vector, function (mathematics), graph (discrete mathematics), greedy algorithm, internet, kleene algebra, mathematical optimization, matrix (mathematics), matrix multiplication, multiplication, networks, number, plus and minus signs, polynomial, ring (mathematics), software testing, space complexity, spacetime, spin (physics), tension (physics), tensor, time complexity
Liang Zhang
Global Sales Strategy & Operations at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, apache spark, api, application software, applications at linkedin, array data structure, array data type, art, artificial intelligence tutorial, artificial neural network, assembly language, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), color, common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data conversion, data science tutorial, data type, debugging, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , file system, film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, library (computing), likelihood function, linear combination, linearity, linkedin, literature, loader (computing), logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parameter (computer programming), parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, preprocessor, protein–protein interaction, python (programming language), radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , source lines of code, space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, string (computer science), subroutine, summation, supervised learning, support-vector machine, temporal topic localization, tensor, texas, three-dimensional space, training, validation, and test sets, transcription (linguistics), transformer (machine learning model), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Jorg Schad
Head Of Engineering and Machine Learning at ArangoDB
analytics, behavior, collaborative filtering, community, convolutional neural network, database, deep learning, deepmind, facebook, feature learning, gender, graph database, inference, information, knowledge, linkedin, machine learning, political corruption, prediction, sense, sexual orientation, statistical classification, support-vector machine, system, tensor
Julian Togelius
Associate Professor of Computer Science and Engineering at New York University
adaptation, algorithm, art, artificial intelligence, artificial intelligence in video games, artificial life, artificial neural network, association football, atom, average, batman, beach, behaviorism, bipedalism, bit, card game, cell (biology), cogeneration, color, colorado, communication, constraint (mathematics), control flow, control theory, convolution, creativity, data, door, error, evaluation, evolutionary algorithm, experiment, feedback, fitness function, food, fox, function (mathematics), game of chance, games, generation, genetic algorithm, goal, graph (discrete mathematics), greedy algorithm, hanabi (card game), heuristic, hierarchy, hill climbing, history, human, hypothesis, information, intelligence, intersection (road), java (programming language), just say no, kilogram, kullback–leibler divergence, language, learning, linear programming, liver, machine learning, map, mario, mathematical optimization, mathematics, maze, mobile phone, monte carlo method, monte carlo tree search, mood (psychology), mother, motivation, multiplayer video game, music, neural network, neuron, number, overworld, paper, pathfinding, percentage, pisa, playing card, poet, procedural programming, programming language, pronunciation, protein, psychology, python (programming language), radio, reason, red bull, research, robot, ruby (programming language), sampling (statistics), search algorithm, severe acute respiratory syndrome coronavirus 2, signal, singapore, sink, softmax function, space, speed, super mario, super mario bros., tensor, terrain, tile, time complexity, toddler, training, validation, and test sets, tree traversal, turtle, variable (mathematics), video, video game, wii
Samuel Earle
Lecturer in Feature-Writing at UCL
algorithm, artificial intelligence, batman, beach, bit, colorado, convolution, data, feedback, function (mathematics), game of chance, games, goal, hierarchy, information, intelligence, just say no, kilogram, kullback–leibler divergence, language, learning, liver, machine learning, map, mario, maze, mother, motivation, neural network, overworld, paper, percentage, programming language, pronunciation, psychology, radio, red bull, research, sampling (statistics), severe acute respiratory syndrome coronavirus 2, singapore, sink, softmax function, speed, super mario, super mario bros., tensor, training, validation, and test sets, turtle, video game, wii
Philip Bontrager
AI Research Scientist at TheTake.ai
algorithm, artificial intelligence, batman, beach, bit, colorado, convolution, data, feedback, function (mathematics), game of chance, games, goal, hierarchy, information, intelligence, just say no, kilogram, kullback–leibler divergence, language, learning, liver, machine learning, map, mario, maze, mother, motivation, neural network, overworld, paper, percentage, programming language, pronunciation, psychology, radio, red bull, research, sampling (statistics), severe acute respiratory syndrome coronavirus 2, singapore, sink, softmax function, speed, super mario, super mario bros., tensor, training, validation, and test sets, turtle, video game, wii
Ahmed Khalifa
Digital Experience Manager at CILEX
algorithm, artificial intelligence, batman, beach, bit, colorado, convolution, data, feedback, function (mathematics), game of chance, games, goal, hierarchy, information, intelligence, just say no, kilogram, kullback–leibler divergence, language, learning, liver, machine learning, map, mario, maze, mother, motivation, neural network, overworld, paper, percentage, programming language, pronunciation, psychology, radio, red bull, research, sampling (statistics), severe acute respiratory syndrome coronavirus 2, singapore, sink, softmax function, speed, super mario, super mario bros., tensor, training, validation, and test sets, turtle, video game, wii
Bodo Rosenhahn
Professor Computer Vision / Machine Learning at Leibniz University Hannover
algorithm, artificial intelligence, convolution, feedback, function (mathematics), games, goal, hierarchy, information, intelligence, kullback–leibler divergence, learning, machine learning, mario, neural network, overworld, psychology, research, sampling (statistics), softmax function, super mario, super mario bros., tensor, training, validation, and test sets, video game, wii
Frederik Schubert
PhD student at Leibniz University Hannover
algorithm, artificial intelligence, convolution, feedback, function (mathematics), games, goal, hierarchy, information, intelligence, kullback–leibler divergence, learning, machine learning, mario, neural network, overworld, psychology, research, sampling (statistics), softmax function, super mario, super mario bros., tensor, training, validation, and test sets, video game, wii
Maren Awiszus
PhD student at Leibniz University Hannover
algorithm, artificial intelligence, convolution, feedback, function (mathematics), games, goal, hierarchy, information, intelligence, kullback–leibler divergence, learning, machine learning, mario, neural network, overworld, psychology, research, sampling (statistics), softmax function, super mario, super mario bros., tensor, training, validation, and test sets, video game, wii
Jason Andrews
Solutions Director at Arm
32-bit computing, 64-bit computing, amazon elastic compute cloud, apache maven, api, application software, arch linux, arm architecture, backup, bit, c++, client–server model, compiler, computer, computer vision, computing, convolution, cross compiler, cross-platform software, deployment environment, docker (software), ecosystem, embedded system, graphics processing unit, hypervisor, instruction set architecture, internet, internet of things, java (programming language), library (computing), linux, linux distribution, linux kernel, machine learning, macintosh, microservices, microsoft surface, microsoft windows, opencl, operating system, python (programming language), pytorch, qualcomm snapdragon, raspberry pi, remote desktop protocol, scalability, server (computing), software , software framework, software release life cycle, source code, surface pro x, system call, tablet computer, tensor, tensorflow, unity (game engine), windows 10, windows subsystem for linux, wine (software), x86, x86-64
Mike Ruberry
Software Engineer at Facebook
adding numpy operators to pytorch, ai, algebra, api, api compatibility, application-specific integrated circuit, array data type, artificial intelligence, artificial neural network, bessel function, central processing unit, compiler, complex number, computing, cuda, data science workflow, data science workflow python, data type, deep learning, division (mathematics), eigenvalues and eigenvectors, error, facebook, fast fourier transform, floating-point arithmetic, fourier transform, function (mathematics), graphics processing unit, hardware acceleration, inheritance (object-oriented programming), integer, kernel (operating system), linear algebra, machine learning, mike ruberry, mike ruberry python, ml, module (mathematics), multiplicative inverse, neural network, number, numpy, numpy operators, pi, ptd2, pycon talks 2021, pycon us, pycon us 2021, python, python (programming language), python 2021, python software foundation, python talk 2021, python talks 2021, pytorch, pytorch 1.7, pytorch and hardware accelerators, pytorch developer day, quantile, randall hunt python, snippet (programming), statistics, subroutine, template (c++), tensor, unit testing, when pytorch is different from numpy, working with tensors
Randall Hunt
Vendia at Director of Developer Relations
adding numpy operators to pytorch, api compatibility, array data type, artificial neural network, compiler, complex number, cuda, data science workflow, data science workflow python, data type, deep learning, eigenvalues and eigenvectors, error, fast fourier transform, floating-point arithmetic, hardware acceleration, inheritance (object-oriented programming), kernel (operating system), mike ruberry python, multiplicative inverse, neural network, number, numpy, numpy operators, pycon talks 2021, pycon us, pycon us 2021, python, python (programming language), python 2021, python software foundation, python talk 2021, python talks 2021, pytorch, pytorch and hardware accelerators, randall hunt python, snippet (programming), subroutine, template (c++), tensor, unit testing, when pytorch is different from numpy, working with tensors
Jack Cao
Software Engineer at Google
actuator, ai, api, artificial intelligence, brand, central processing unit, cloud tpu, compiler, disco, facebook, flip-flop (electronics), github, google, gpu, graphics processing unit, information, intel, intermediate representation, jack cao, laptop, machine learning, ml, prototype, ptd2, python (programming language), pytorch, pytorch 1.7, pytorch developer day, return statement, sensor, software , synchronicity, tax, tensor, titan (supercomputer), titleist, tomato, x-ray, xla
Christian Sarofeen
Senior Engineering Manager at NVIDIA
ai, artificial intelligence, attention, benchmark (computing), bit, central processing unit, christian sarofeen, computer hardware, convolution, data parallelism, deep learning, deep learning bechmark, email, facebook, front end and back end, global positioning system, google, graphics processing unit, knowledge, machine learning, ml, mlperf, nvidia, parallel computing, program optimization, prototype, ptd2, python (programming language), pytorch, pytorch 1.7, pytorch developer day, research, selene, steam (service), supercomputer, tensor, throughput, utility
Ilia Cherniasvskii
Software Engineer at Facebook
ai, artificial intelligence, best practice, central processing unit, china, convolution, cpu time, danbury, connecticut, door, engineer, facebook, graphics processing unit, home network, ilia cherniasvskii, json, lego, lucian, machine learning, measurement, ml, profiler, ptd2, pytorch, pytorch 1.7, pytorch developer day, raphael, sensor, software , software engineer, spider, tensor, tool
Francisco Massa
Computer Vision Research Engineer at Facebook
ai, api, artificial intelligence, computer, computer file, computer vision, deep learning, facebook, feedback, font, francisco massa, graphics processing unit, information, ios, jpeg, laptop, library (computing), machine learning, memory, ml, onnx, pipeline (computing), portable network graphics, ptd2, pump, python (programming language), pytorch, pytorch 1.7, pytorch developer day, reading, research, session initiation protocol, spotify, tensor, torchscript, torchvision, video
Vincent Quenneville-Belair
Machine Learning Scientist at Facebook AI
ai, application software, artificial intelligence, audio time stretching and pitch scaling, binary file, c++, classic mac os, computer, directory (computing), facebook, graphics processing unit, input/output, interface (computing), jit, library (computing), linux, machine learning, macintosh, microsoft windows, ml, mp3, open-source software, ptd2, python (programming language), pytorch, pytorch 1.7, pytorch developer day, quantization, sequence, singing, source separation, speech recognition, speech synthesis, tensor, text-to-speech, torchaudio, transformer, vince quenneville-belair, vocoder
Mark Ibrahim
Research Engineer at Facebook AI Research
artificial neural network, cat, computer, computing, cross entropy, cryptography , deep learning, dog, function (mathematics), information, language, logistic regression, machine learning, mean squared error, number, parameter, pet, plain text, random number generation, regression analysis, secure multi-party computation, statistical classification, tensor, translation
Alex Passos
Software Engineer at TensorFlow team
#poweredbytf, #tfdevsummit, action at a distance, apartment, apple inc., application programming interface, auto graph, auto graphs, autograph, automatic differentiation, cancer, car, carousel, central processing unit, closure (computer programming), coding, compiler, computer, computer hardware, computer programming, concept, control flow, cross-platform software, data, debugger, debugging, deep learning, dependency injection, devlopers, diff, eagle, entry point, equation, euclidean vector, expert, floating-point arithmetic, for loop, function (mathematics), goal, google developers, gradient, gradient descent, graphics processing unit, guild, imperative programming, inequality (mathematics), inheritance (object-oriented programming), interpreter (computing), interview, jacobian matrix and determinant, kernel (operating system), language, learning, logarithm, machine, machine learning, machine learning developers, mathematical optimization, matrix (mathematics), matrix multiplication, mattress, ml auto graph, ml framework, ml nodes, ml tutorials, niger, notebook, number, object (computer science), object-oriented programming, open-source software, operator overloading, parallel computing, profiling (computer programming), program optimization, programming language, project jupyter, python (programming language), reason, research with tensorflow, run auto graphs, scalar (mathematics), scope (computer science), senpai and kōhai, sensor, server (computing), software bug, software framework, stochastic gradient descent, subtraction, supercomputer, symbol, tensor, tensorflow, tensorflow apis, tensorflow autograph, tensorflow dev summit, tensorflow dev summit 2020, tensorflow dev summit keynote, tensorflow developer summit, tensorflow developer summit 2019, tensorflow function. tensorflow.functions, tensorflow functions, tensorflow functions api, tensorflow research, tentacle, tf, tf 2.x, tf dev summit 20, tf dev summit 2019, tf dev summit 2020, tf function, tf research, tf.function, tf.function api, tf.function autograph tensorflow, tfds, variable (computer science), while loop
Jason Brown
Senior Data Scientist at Astraea, Inc
apache spark, array data structure, array data type, big data, bit, color, databricks, function (mathematics), infrared, instagram, integer (computer science), metadata, multiplication, nasa, object composition, pixel, raster graphics, satellite, satellite imagery, science, sql, storytelling, tensor, video, wildfire
Jendrik Jördening
Co-Founder and Head of Data Science at Nooxit
activation function, artificial intelligence, automatic differentiation, central processing unit, chart, computer programming, cross entropy, cuda, deep learning, derivative, function (mathematics), gradient, gradient descent, graphics processing unit, grayscale, infoq, input/output, machine learning, mathematical optimization, memory, neural network, numpy, object (computer science), parameter, pie chart, pytorch, qcon, qcon.ai, reinforcement learning, tensor, tensor library, utility
Balaji Rengarajan
Senior Data Scientist at Celect
algorithm, analogy, artificial intelligence, celect, data, data base, database, equation, extract, transform, load, gender, geographic information system, infoq, information, logic, machine learning, microsoft excel, nothing, patch (computing), pdb, pdb framework, pdb language, pipeline (computing), prediction, protein data bank, qcon, qcon.ai, question, science, software , sql, system, tensor, time, time series
Thomas Fan
Senior Software Engineer at Quansight Labs
accuracy and precision, aftershock, algorithm, api, artificial intelligence, artificial neural network, boolean data type, camera, cloud computing, command-line interface, computer file, conda (package manager), convolutional neural network, cut, copy, and paste, dashboard (business), data analytics, data visualization , database, defense of the ancients, demography, ed sheeran, engineering, epilepsy, epileptic seizure, experiment, function (mathematics), general-purpose computing on graphics processing units, human–computer interaction, image processing, image segmentation, ipod, ipython, json, laptop, league of legends, learning, library, logic, loss function, machine learning, mass, matter, memory, metric tensor, mobile app, modular programming, module (mathematics), neural network, neural networks, neurology, neurosurgery, numpy, open science, open source, parameter, password, postgresql, prediction, project jupyter, python, python (programming language), python virtual conference 2021, pytorch, radio, refrigerator, richter magnitude scale, science, scientific computing, scikit-learn, scipy, scipy2021, shoe, skorch, sql, supervised learning, support vector machine, tensor, transfer learning, upload, visualization (graphics), web browser
Thomas Drach
Founder at subtract.design
autoencoder, encoding (memory), entropy (information theory), euclidean vector, grace hopper, guitar, hypertext, internet, invention, jimi hendrix, jsconf, jsconfus, jsconfus2019, linkedin, machine learning, matrix (mathematics), music sequencer, nikola tesla, recurrent neural network, scalar (mathematics), tensor, tensorflow, three-dimensional space, tim berners-lee, transmission control protocol, world wide web
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1-30 of 41