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Mike Jadoo
Economist at Bureau of Labor Statistics
circular flow of income, commodity, competition (economics), consumer price index, economic data, economic growth, economics, economy, employment, factors of production, index (economics), inflation, inflation accounting, labour economics, logarithm, market (economics), mean, microsoft excel, national accounts, price index, productivity, subroutine, total factor productivity, value (economics), workforce productivity
Omri Shmueli
Tel Aviv University
absolute value, authentication, central processing unit, correlation and dependence, encryption, euclidean vector, hamiltonian (quantum mechanics), matrix (mathematics), motivation, norm (mathematics), normal distribution, number, overhead (business), prime number, qma, quadratic equation, quantum logic, quantum state, quantum superposition, quantum teleportation, ring (mathematics), self-adjoint operator, variance, vector space, zero-knowledge proof
Zvika Brakerski
Weizmann Institute of Science
absolute value, authentication, central processing unit, correlation and dependence, encryption, euclidean vector, hamiltonian (quantum mechanics), matrix (mathematics), motivation, norm (mathematics), normal distribution, number, overhead (business), prime number, qma, quadratic equation, quantum logic, quantum state, quantum superposition, quantum teleportation, ring (mathematics), self-adjoint operator, variance, vector space, zero-knowledge proof
Davide Venturelli
Artificial Intelligence, Quantum Computing, Physics, Robotics, Entrepreneurship at USRA
algorithm, application software, bayesian inference, brute-force search, cluster analysis, computing, database index, estimation theory, gradient descent, likelihood function, linear programming, machine learning, mathematical optimization, matrix (mathematics), maximum a posteriori estimation, maximum likelihood estimation, mean, quantum computing, quantum superposition, sampling (statistics), software , statistical inference, statistics, support-vector machine, zero-sum game
Isaac Joseph
Software Engineer at Affirm
algorithm, array data structure, credit history, credit score in the united states, equation, floating-point arithmetic, game theory, inheritance (object-oriented programming), interest, interface (computing), latency (engineering), loan, logistic regression, machine learning, mathematics, matrix (mathematics), mean, monte carlo method, point of sale, price, regression analysis, statistical classification, throughput, training, validation, and test sets, weighted arithmetic mean
Cristine Marsh
Data Scientist at Affirm
algorithm, array data structure, credit history, credit score in the united states, equation, floating-point arithmetic, game theory, inheritance (object-oriented programming), interest, interface (computing), latency (engineering), loan, logistic regression, machine learning, mathematics, matrix (mathematics), mean, monte carlo method, point of sale, price, regression analysis, statistical classification, throughput, training, validation, and test sets, weighted arithmetic mean
Josh Wills
Developer Without Affiliation
apache hadoop, autocomplete, backup, cache (computing), categorization, central processing unit, compartmental models in epidemiology, computer data storage, computer programming, database, deep learning, education, elasticsearch, electronic health record, email, epidemiology, ethics, feedback, github, gradient descent, hard coding, hyperparameter (machine learning), influenza, influenza pandemic, information retrieval, instruction pipelining, learning to rank, logistic regression, lyft, machine learning, mapreduce, markov chain, markov chain monte carlo, mean, median, metropolis–hastings algorithm, mind, negative-feedback amplifier, neural network, nosql, open source, organization, parallel computing, parameter, prediction, programming language, public health, python (programming language), random forest, random-access memory, reddit, replication (computing), retail, search engine indexing, search engine results page, severe acute respiratory syndrome coronavirus 2, slack (software), software , software bug, software development, source code, spanish flu, statistical hypothesis testing, structure, textbook, time, twitter, uncertainty, understanding, user-generated content, version control, web application, wikipedia, world wide web
Beau Coker
PhD student at Harvard University
artificial neural network, attention, bayesian inference, covariance, force, function (mathematics), gas, global positioning system, ground truth, information, integral, logarithm, mathematical optimization, mean, parameter, poisson point process, radial basis function network, smoothness, stationary process, tank, uncertainty, variance, wave, weather, wind
Krista Longi
Doctoral Student at University of Helsinki
accuracy and precision, algorithm, average, beyoncé, data, entropy, estimator, evaluation, function (mathematics), geometry, glucose, information, learning, machine, machine learning, mean, measurement, navigation, paper, polygon, regression analysis, regular polygon, sensor, transmitter, ultrasound
Tárik Saleh Salem
Student at NTNU
artificial neural network, coverage probability, divorce, education, epistemology, force, future, interval (mathematics), loss function, mean, measurement, noise, normal distribution, observational error, odds, piano, prediction, probability, regression analysis, scanning electron microscope, science, sensitivity analysis, standard deviation, standard error, uncertainty
Marcelo Hartmann
Postdoctoral Researcher at University of Helsinki
algorithm, bohr model, color, expected value, experiment, fisher information, function (mathematics), human height, information, kullback–leibler divergence, language, likelihood function, machine learning, matrix (mathematics), mean, measurement, metre, parameter, plumbing, privacy, probability, probability distribution, randomness, sample space, sensor
Hermanni Hälvä
Student at University of Helsinki
air conditioning, correlation and dependence, equation, exponential family, feature learning, function (mathematics), goal, hidden markov model, independent component analysis, interval (mathematics), latent variable, learning, lighting, likelihood function, markov chain, markov model, mean, nonlinear system, parameter, simulation, solution, stationary process, time series, truth, unsupervised learning
Pawel Chilinski
UBS, Director at Quantitative Trader
computer, coronavirus disease 2019, correlation and dependence, covariance, data, dependent and independent variables, energy, equation, experiment, factorization, function (mathematics), gas, joint probability distribution, likelihood function, mathematics, matrix (mathematics), mean, monotonic function, parameter, probability density function, probability distribution, python (programming language), random variable, synthetic data, training, validation, and test sets
Chris Cundy
PhD student at Stanford University AI Lab
approximation, bit, calcium, computer, density, elbow, expected value, famine, function (mathematics), inch, integral, map, mean, paper, parameter, probability, probability distribution, russia, schematic, space, statistical inference, switch, trade-off, variance, variational bayesian methods
Sayak Ray Chowdhury
Postdoctoral Associate at Boston University
algorithm, analogy, approximation, astronomy , black box, carnival, color, compressor, conditional expectation, domestication, evaluation, expected value, experiment, function (mathematics), information, kansas, likelihood function, map, mathematical optimization, mean, prediction, space, statistical inference, uncertainty, weight
Arnab Mondal
Ph.D. Scholar at IIT Delhi
air pollution, algorithm, causal graph, causality, correlation and dependence, data, diamond, dog, earth, efficacy, entropy (information theory), escambia county, florida, experiment, ice, information, joint probability distribution, mathematics, mean, minimax, mutual information, pearson correlation coefficient, rain, random variable, regression analysis, saipan, sample size determination, science, toyota prius
Jan-Christian Huetter
Postdoctoral researcher at Broad Institute of MIT and Harvard
causal model, causality, equation, estimator, experiment, infidelity, lasso (statistics), likelihood function, linearity, logarithm, mathematical optimization, matrix (mathematics), maximum likelihood estimation, mean, minimax, minimax estimator, normal distribution, observation, random variable, sample size determination, sparse matrix, structural equation modeling, the matrix, universe, variable (mathematics)
Brian Moore
Practice Lead at PMsquare
accuracy and precision, analytics, brand, computer monitor, datasource, drag and drop, forecasting, gross margin, information retrieval, laptop, mean, microsoft excel, microsoft powerpoint, microsoft sql server, mobile app, pdf, planning analytics, prediction, price, queue (abstract data type), selfie, statistics, unit price, user (computing), window (computing), workspace
Vipul Darji
Customer Success Manager at LumApps
abstraction, bit, cloud computing, cut, copy, and paste, data type, database, database transaction, internet of things, library (computing), mean, modal logic, multiplication, point of sale, pointer (computer programming), real-time computing, relational database, sampling (statistics), sql, start menu, subroutine, table (database), table (information), trifacta, trifacta wrangler, use case
Assel Altayeva
Data Quality Lead, Strategy & Planning at Peabody
administrative data, adolescence, algorithm, autoregressive model, birth control, blockchain, caesarean section, calibration, causality, child development, childbirth, clinical trial, communication protocol, computer network, conversation, cryptocurrency, data science, differential privacy, economic inequality, encryption, epidemiology, ethereum, federated learning, function (mathematics), gaussian function, gestational age, health, hyperparameter optimization, hypothesis, information, information privacy, information security, life expectancy, likelihood function, likelihood-ratio test, liverpool, machine learning, maximum likelihood estimation, mean, mental health, model selection, mother, multimodal systems, multivariate normal distribution, national health service (england), neural network, normal distribution, parameter, poverty, predictive modelling, pregnancy, privacy, privacy-enhancing technologies, public housing in the united kingdom, reason, research, risk, science, sensitivity and specificity, server (computing), social work, society for worldwide interbank financial telecommunication, statistical causality, statistics, substance abuse, teenage pregnancy, time series, tropical medicine, variance, vector autoregression, violence, white noise
Kritika Prakash
Researcher at Google AI
algorithm, clinical trial, communication protocol, computer network, data science, differential privacy, encryption, federated learning, information privacy, information security, machine learning, mean, neural network, normal distribution, parameter, privacy, privacy-enhancing technologies, reason, sensitivity and specificity, server (computing), society for worldwide interbank financial telecommunication, statistics, variance
François Chollet
Artificial Intelligence Researcher at Google
#googleio, abstraction, adolescence, ai researcher, algorithm, android (operating system), api, artificial intelligence, autoencoder, automation, average, boilerplate code, c++, cloud computing, codec, computer, computer programming, computer vision, concept, conceptual model, conjecture, cross entropy, data compression, data model, deep learning, design, distributed computing, email, embedding, experiment, francois chollet, function (mathematics), google, google announcement, google conference, google developer conference, google i/o, google io, graphics processing unit, imagination, ios, javascript, keras, keras vs tensorflow, kullback–leibler divergence, logic, long short-term memory, low level tensorflow, machine learning, machine learning library, mathematical proof, mathematics, matroid, mean, mean squared error, microsoft, mind, ml conference, modern keras, motivation, multi-core processor, music, normal distribution, nothing, perception, physics, piano, pixel, pr_pr: google i/o, probability distribution, purpose: educate, quantization (signal processing), reason, recursion, research, scaledml, scaledml2020, software , standard keras, swift (programming language), switch, system, tax, technical conference, technology, tensorflow, tensorflow 2021, tensorflow and keras, tensorflow code, theorem, truth, type: conference talk (full production), understanding, use case, variance, vector space, what’s new with tensorflow, world wide web, youtube
Martin Görner
Software Engineer at Google
#googleio, activation function, algorithm, alphago, analytics, api, application programming interface, artificial intelligence, artificial neural network, autoencoder, average, boilerplate code, central processing unit, cloud computing, codec, command-line interface, computer, cross entropy, curve, data compression, deepmind, design, email, encoding (memory), entropy (information theory), function (mathematics), google, google announcement, google cloud ml engine, google conference, google developer conference, google i/o, google io, gradient descent, graphics processing unit, histogram, hyperparameter (machine learning), infoq, input/output, javascript, keras, keras vs tensorflow, kullback–leibler divergence, learning, low level tensorflow, machine learning, machine learning library, mean, mean squared error, mode (statistics), modern keras, multi-core processor, music, neural network, neuron, normal distribution, parameter (computer programming), piano, pixel, pr_pr: google i/o, prediction, probability distribution, purpose: educate, python (programming language), qcon, qcon.ai, rail transport modelling, regularization (mathematics), reinforcement, reinforcement learning, sigmoid function, softmax function, standard keras, statistical classification, supervised learning, switch, technology, tensorboard, tensorflow, tensorflow 2021, tensorflow and keras, tensorflow code, training, validation, and test sets, type: conference talk (full production), variance, vector space, visualization (graphics), what’s new with tensorflow
Mandy Humbert
Sr. Director of Engineering and Data Science at Schneider
analytics conferences 2021, ai 2021, amazon (company), analytics, analytics & data science, analytics summit 2021 , artificial intelligence, bit, conversation, dashboard (business), data & analytics, data analysis, data integration, data model, data science 2021, data science conference 2021, data visualization , definition, forecasting, governance, idea, inventory, kroger, language, mean, memory, pricing, reason, statistics, time, truth, university of cincinnati, visual analytics
Debasmita Das
Statistician at Consumer Reports
data science, adversarial learning, adversarial machine learning, advertising, african americans, ai models, algorithmic bias, amazon (company), artificial intelligence, artificial neural network, bias, data science conference 2020, deep learning, dependent and independent variables, discrimination, disease, emoji, equal opportunity, facebook, facial recognition system, false positives and false negatives, health care, learning, machine learning, mean, medical test, mind, odds, prediction, prejudice, statistics, understanding, wids 2020, wids ambassadors, wids conference, wids mumbai 2020, women in data science, women in programming
Gim Hee Lee
Assistant Professor at National University of Singapore
angle, book, botnet, cartesian coordinate system, computer vision, detection, experiment, goodness of fit, ground truth, image segmentation, knowledge, kullback–leibler divergence, length, mean, mean squared error, medical imaging, moving average, parameter, perturbation theory (quantum mechanics), probability, radio, regression analysis, regularization (mathematics), rotation, semi-supervised learning, truth
Matt Brems
Data Scientist at Betavector
confidence interval, data analysis, decision tree learning, deductive reasoning, deviation (statistics), errors and residuals, ethics, forecasting, imputation (statistics), inference, linear regression, logic, mean, median, missing data, mode (statistics), opinion poll, p-value, prediction, random forest, regression analysis, sample size determination, standard deviation, statistical classification, statistical hypothesis testing
Pieter Cailliau
Product Management at Redis Labs
aggregating , android (operating system), application software, array data structure, average, bit, chart, child support, chocolate, compact disc, computer, conversation, cryptographic hash function, currency, data compression, database, database index, delphi (software), email, emoji, engineer, facetime, fracture (geology), function (mathematics), google, hand, information, interpreter (computing), java (programming language), java virtual machine, language, latency (engineering), lawyer, logic, maize, matrix (mathematics), mean, memory, memory management, metadata, music, native graph database, password, production function, program optimization, python (programming language), reason, reddit, redisgears, robot, simulation, siri, ski, software , software engineer, space, species, sql, stream processing, subroutine, tank, time complexity, timestamp, twitter, upload, use case, valve, virus, wi-fi, wikipedia, wood
Danni Moiseyev
Back End Team Leader at Redis Labs
aggregating , android (operating system), average, bit, chart, computer, conversation, data compression, database, database index, emoji, facetime, fracture (geology), google, mean, memory, memory management, metadata, music, production function, reason, reddit, robot, tank, timestamp, wikipedia
Stephanie Hyland
PhD student at Machine Learning & Computational Biology Lab at ETH Zurich
algorithm, bit, database, determinism, differential privacy, equation, gradient descent, health care, logistic regression, loss function, machine learning, mathematical optimization, mean, neural network, nonlinear system, randomness, regression analysis, sampling (statistics), standard deviation, statistical classification, statistics, stochastic differential equation, stochastic gradient descent, variance
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