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Helen Yu
Founder & CEO at Tigon Advisory
adobe inc., ai, amazon (company), amazon alexa, analytics, artificial general intelligence, audit, automation, brand, business, business event, call centre, cloud computing, competition, conference, creativity, credit card, customer experience, cyberwarfare, design, digital marketing, electronic health record, emerging tech, end user, entrepreneur conference, entrepreneurship, founder & ceo, goal, google, health care, health data, health insurance portability and accountability act, helen yu, identity (social science), innovation, insurance, intelligence, internet privacy, investor, language, learning, machine learning, marketo, mathematical optimization, minimum viable product, ml, mount everest, mountain, mountaineering, nursing, organization, patient, pricing, privacy, product/market fit, psychology, real-time computing, reason, risk, robotics, sales, self-driving car, social media, speech recognition, startup company, stochastic, strategy-to-execution, supply chain management, technology, test (assessment), thought, tie, tie global, tie inflect, tiecon, tiecon 2019, tieeco, tiesv, tigon advisory, time, understanding, unsupervised learning, virtual assistant
Anima Anandkumar
Director of ML Research at NVIDIA
5g, ai, amazon (company), artificial general intelligence, artificial intelligence, attention, automation, bias, big data, brain, business ai integration, business event, clearbanc, cloud computing, communication, computer hardware, computer network, computer programming, conference, correlation and dependence, crowdsourcing, cuda, cyberwarfare, data compression, deep learning, design, digital twin, doctor of philosophy, electronic health record, emergence, emerging tech, emerging technologies, entrepreneur conference, entrepreneurship, ethics of artificial intelligence, events, expert, expert system, facebook, facial recognition system, factorization, gender, general-purpose computing on graphics processing units, goal, gpt-3, graphics processing unit, health care, health data, health insurance portability and accountability act, image scanner, immigration, intelligence, internet privacy, language, leadership, lean startup, machine learning, mathematical optimization, medicine, mentorship, ml, natural language processing, neural network, neuromorphic engineering, neuroscience, nursing, nvidia, parallel computing, patent, patient, privacy, ray tracing (graphics), real-time computing, reality, research, research and development, risk, robot, robotics, self-driving car, simulation, social media, social support, software , startup company, stochastic, supply chain management, system, technology, test (assessment), theory, transform 2019, transparency (behavior), unsupervised learning, venture capital, venturebeat
Sanjeev Agrawal
President & Chief Operating Officer at LeanTaaS
ai, artificial general intelligence, automation, business event, cloud computing, conference, cyberwarfare, electronic health record, emerging tech, entrepreneur conference, goal, health care, health data, health insurance portability and accountability act, intelligence, internet privacy, machine learning, mathematical optimization, ml, nursing, patient, privacy, real-time computing, robotics, self-driving car, social media, stochastic, supply chain management, test (assessment), unsupervised learning
Satya Mallick
CEO at OpenCV.org
ai, ai and innovation, artificial general intelligence, automation, azure: ai + machine learning, azure: azure general, azure: developer tools, brain, brandon gilles, build, business event, c1x9, camera, carmen chan, cloud computing, color, computer vision, conference, cyberwarfare, electronic health record, emerging tech, entrepreneur conference, eye, firmware, goal, health care, health data, health insurance portability and accountability act, intel, intelligence, internet of things, internet privacy, jaime easter, jim curry, library, machine learning, mathematical optimization, microsoft, microsoft build, microsoft build 2021, microsoft developer, ml, msft build, msft build 2021, nothing, nursing, od504, on-demand, openvino, patient, perception, pixel, privacy, prototype, raspberry pi, real-time computing, robotics, satya mallick, self-driving car, sense, shutter (photography), simulation, social media, software , solving for spatial ai with solutions powered by intel and microsoft | od504, stochastic, supply chain management, test (assessment), unmanned aerial vehicle, unsupervised learning, visual perception, weight training
Steve Nouri
Head of data science and AI at ACS Forbes Technology Council
ai, artificial general intelligence, automation, business event, cloud computing, conference, cyberwarfare, electronic health record, emerging tech, entrepreneur conference, goal, health care, health data, health insurance portability and accountability act, intelligence, internet privacy, machine learning, mathematical optimization, ml, nursing, patient, privacy, real-time computing, robotics, self-driving car, social media, stochastic, supply chain management, test (assessment), unsupervised learning
Kendall Ruber
Data Science and Analytics at Yum! Brands
advertising, algorithm, analytics, apple inc., application software, brand, cluster analysis, data, data science, data scientist, document clustering, english language, foursquare city guide, humans, humans of data science, information, kfc, linkedin, machine learning, network, pizza hut, sentiment analysis, social media, tag cloud, text messaging, text mining, twitter, unsupervised learning, yum! brands
Adam Bouland
Postdoctoral Researcher at QC Ware Corp.
artificial neural network, best, worst and average case, central processing unit, chemistry, cloud computing, computational complexity theory, computer, computer science, computing, condition number, convex optimization, cryptography , deep learning, equation, factorization, grover's algorithm, heuristic, invertible matrix, key (cryptography), linear algebra, machine learning, mathematical optimization, mathematics, molecule, natural language processing, neural network, post-quantum cryptography, protein, public-key cryptography, quantum algorithm, quantum chemistry, quantum computing, quantum cryptography, quantum machine learning, quantum neural network, random number generation, reinforcement learning, rsa (cryptosystem), semidefinite programming, singular value decomposition, software , statistical classification, system of linear equations, theoretical computer science, time complexity, unsupervised learning
Natalie Parham
MMath student at University of Waterloo
algorithm, bit, central processing unit, cluster analysis, computer, computer hardware, computing, expected value, graphics processing unit, k-nearest neighbors algorithm, library (computing), machine learning, mathematical optimization, matrix (mathematics), monte carlo method, quantum algorithm, quantum annealing, quantum computing, quantum machine learning, random-access memory, software , statistical classification, unsupervised learning, use case
Sean J. Weinberg
Quantum Computing Researcher at QC Ware Corp.
algorithm, bit, central processing unit, cluster analysis, computer, computer hardware, computing, expected value, graphics processing unit, k-nearest neighbors algorithm, library (computing), machine learning, mathematical optimization, matrix (mathematics), monte carlo method, quantum algorithm, quantum annealing, quantum computing, quantum machine learning, random-access memory, software , statistical classification, unsupervised learning, use case
Fabio Sanches
Senior Research Scientist at QC Ware Corp
algorithm, atom, atomic orbital, bit, central processing unit, chemistry, cluster analysis, computational complexity theory, computer, computer hardware, computing, electron, electron configuration, energy level, expected value, gradient descent, graphics processing unit, hamiltonian (quantum mechanics), hamiltonian mechanics, hydrogen atom, k-nearest neighbors algorithm, library (computing), machine learning, mathematical optimization, matrix (mathematics), matter, monte carlo method, operator (physics), physics, quantum algorithm, quantum annealing, quantum chemistry, quantum computing, quantum entanglement, quantum machine learning, quantum mechanics, quantum simulator, random-access memory, richard feynman, scientific law, software , statistical classification, unsupervised learning, use case
Garima Bajpai
Founder at DevOps Community of Practice, Canada
attitude (psychology), collective action, community of practice, crowdsourcing, dashboard (business), devops, gamification, grassroots, incentive, infection, knowledge, learning, mind, mindset, productivity, reason, research, science, simulation, singing, spotify, thought, unsupervised learning, usability, wisdom
Anjali Batra
Principal Data Scientist at OpsMx
accuracy and precision, algorithm, attention, behavior, benchmarking, computer, correlation and dependence, data, decision tree, docking (molecular), intelligence, learning, machine learning, magnetic resonance imaging, matrix (mathematics), memory, prediction, software , statistical classification, statistics, time, time series, unsupervised learning
Joseph Ross
Principal Data Scientist at Splunk
category (mathematics), cluster analysis, connected space, continuous function, dimension, equivalence relation, feature selection, field (mathematics), functor, geometry, homology (mathematics), interval (mathematics), k-means clustering, mathematics, metric space, sequence, single-linkage clustering, singular homology, statistical classification, supervised learning, time series, topological space, triangle inequality, unsupervised learning
Harnoor Minhas
Information Technology Team Leader at Quicken Loans
automation, beginner machine learning, beginners, big data, bit, cloud, cloud computing, cloud conference, cluster analysis, computer vision, dimensionality reduction, intelligence, lidar, machine learning, memory, prediction, reinforcement, robot, robotics, self-driving car, six feet up, sixfeetup, statistical classification, supervised learning, tensorflow, training, training, validation, and test sets, trial and error, unsupervised learning, virtual, virtual conference
Shane Milton
Technical Architect at CleanSlate
active directory, algorithm, algorithm selection, api, automated machine learning, automation, azure, bayesian inference, bundle (macos), central processing unit, cloud, cloud conference, command-line interface, computer, computer data storage, computer file, computing, cosmos db, database, devops, ensemble learning, entry point, hard coding, hypertext transfer protocol, input/output, intelligence, internet of things, kaggle, kernel (operating system), linear regression, machine learning, microsoft sql server, microsoft windows, ml.net, multiclass classification, operating system, platform as a service, regression analysis, representational state transfer, server (computing), serverless computing, six feet up, sixfeetup, software as a service, software bug, stack (abstract data type), statistical classification, string (computer science), system call, tensorflow, training, validation, and test sets, unsupervised learning, virtual, virtual conference, web application, world wide web
Robert Neal
Head of Experimentation at LaunchDarkly
action selection, bracket, determinism, function (mathematics), hypertext transfer protocol, language, library, library (computing), motivation, multi-armed bandit, primitive data type, progressive jackpot, python (programming language), reason, reinforcement learning, robot, scala (programming language), sine, slot machine, software framework, state-space representation, supervised learning, trigonometric functions, unsupervised learning, weighted arithmetic mean
Adam Grzywaczewski
Senior Deep Learning Data Scientist at NVIDIA
algorithm, computational resource, computer graphics, computer vision, computing, deep learning, graphics processing unit, hyperparameter optimization, machine learning, natural language processing, neural network, nvidia, perception, reason, recommender system, self-driving car, supercomputer, supervised learning, theory, training, validation, and test sets, translation, unsupervised learning, visual perception
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
Melissa Torgbi
Data Scientist at SAS
air pollution, airplane, alexandria ocasio-cortez, apple inc., atmosphere of earth, carbon, climate, climate model, cluster analysis, computer vision, computing, covid pandemic, deep learning, design, dimensionality reduction, earth, greenhouse gas, health care, human impact on the environment, idea, image segmentation, imagenet, infrastructure, intelligence, knowledge, level of detail (computer graphics), lisa simpson, machine learning, medical image computing, motivation, natural environment, new york city, news, nitrogen, pandemic, pollution, populations of images, prediction, science, self-driving car, severe acute respiratory syndrome coronavirus 2, social media, statistical classification, supervised learning, understanding, unsupervised learning, virus, wind
Kanwal Bhatia
Co-Founder and CSO at MetaLynx
alexandria ocasio-cortez, apple inc., cluster analysis, computer vision, computing, deep learning, dimensionality reduction, health care, idea, image segmentation, imagenet, intelligence, level of detail (computer graphics), machine learning, medical image computing, populations of images, prediction, science, self-driving car, social media, statistical classification, supervised learning, understanding, unsupervised learning
Aditya Vetukuri
Software Engineer at Specright
algorithm, application software, chess, chess engine, computer programming, computing, data mining, deep blue (chess computer), deep learning, dimensionality reduction, email, facial expression, frank rosenblatt, garry kasparov, machine learning, perceptron, programming language, recommender system, reinforcement learning, software , supervised learning, training, validation, and test sets, unsupervised learning
Domino Valdano
Staff Software Engineer at VMware
analytics, association rule learning, center of mass, centroid, cluster analysis, correlation and dependence, dbscan, deep learning, dependent and independent variables, function (mathematics), geographic information system, histogram, image segmentation, intrusion detection system, k-means clustering, machine learning, market segmentation, neural networks, online analytical processing, science, statistical classification, tax, unsupervised learning
Aravinda Nanjundappa
Professor at West Virginia University
ai in cardiovascular outcomes, amazon alexa, augmented reality, cardiac stress test, cardiovascular disease, cognitive computing, computer vision, ct scan, deep learning, echocardiography, evidence-based medicine, intelligence, machine learning, magnetic resonance imaging, natural language processing, neural network, problem solving, robotics, self-driving car, simulation, speech recognition, statistical classification, supervised learning, unsupervised learning, watson (computer)
Krishnaswamy Vijay Raghavan
Professor at National Centre for Biological Sciences
ai, algorithm, amazon kindle, applications of artificial intelligence, artificial general intelligence, bias, big data, book, brain, computer science, computing machinery and intelligence, data, database, decision-making, deep learning, determinism, economics, education, empowerment, error, experiment, gross domestic product, history, industry, information, infrastructure, innovation, intelligence, jocelyn bell burnell, key challenges, knowledge, language, learning, machine learning, memory, prediction, resource, statistics, stuart j. russell, supervised learning, technologies, unsupervised learning, user interface
Cees Snoek
Professor in Artificial Intelligence at University of Amsterdam
algorithmic bias, artificial neural network, central processing unit, computer vision, concept, conceptual model, convolutional neural network, data sheet, deep learning, feature learning, hyperparameter optimization, image quality, image segmentation, imagenet, learning to rank, neural network, overfitting, prediction, programmer, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance
Kuan-Chuan Peng
Research Scientist at Mitsubishi Electric Research Laboratories
algorithmic bias, artificial neural network, central processing unit, computer vision, concept, conceptual model, convolutional neural network, data sheet, deep learning, feature learning, hyperparameter optimization, image quality, image segmentation, imagenet, learning to rank, neural network, overfitting, prediction, programmer, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance
Andrew David Bagdanov
Associate Professor at University of Florence
algorithmic bias, artificial neural network, central processing unit, computer vision, concept, conceptual model, convolutional neural network, data sheet, deep learning, feature learning, hyperparameter optimization, image quality, image segmentation, imagenet, learning to rank, neural network, overfitting, prediction, programmer, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance
Sean Law
Principal Data Scientist, R&D at Charles Schwab
analysis of algorithms, anomaly detection, brute-force search, cluster analysis, data analysis, data science, deep learning, distance, engineering, fast fourier transform, forecasting, graphics processing unit, intelligence, line (geometry), machine learning, memory, metric (mathematics), nearest neighbor search, parameter, pythagorean theorem, python, python tutorial, right triangle, science, scientific computing, scientific computing conference 2021, scipy2021, software tools, time, time series, triangle, unsupervised learning, vector space
Ash Ash
Assistant Professor of Law, Economics, and Data Science at ETH Zürich
computational social science , adjective, artificial intelligence, cluster analysis, cognition, computer vision, cosine similarity, digital humanities, document classification, emotion, encoding (memory), euclidean vector, hashtag, iraq war, k-means clustering, k-nearest neighbors algorithm, motivation, neuroscience, observation, qualitative research, question, rationale for the iraq war, redistribution of income and wealth, research, science, science research, scientific computing, scipy2021, software engineering, statistical classification, topic model, unsupervised learning, vector space, word embedding
James Lee
Associate Vice Provost for Digital Scholarship at University of Cincinnati
aesthetics, analysis, analytics, appraisal theory, attitude (psychology), conceptual model, data visualization , emotion, evaluation, language, linguistics, machine learning, predictive modelling, qualitative research, research, research question, sensitivity and specificity, sentiment analysis, statistical classification, text mining, understanding, unstructured data, unsupervised learning, visualization (graphics)
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