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Vincent Warmerdam
Research Advocate at Rasa
accuracy and precision, adolescence, alexa internet, algorithm, algorithms, analytics, artificial intelligence, attention, behavior, bias, big data, brandeis marshall, chart, chatbot, chatbots, command-line interface, computer, computer file, computer programming, consciousness, conversation, correlation and dependence, cross-validation (statistics), cultural bias, data model, data science, database, dimensionality reduction, dot product, end user, euclidean vector, expert, extrapolation, fiction, hyperparameter (machine learning), inductive reasoning, infoq, information, inheritance (object-oriented programming), internet forum, intersectionality, k-nearest neighbors algorithm, knowledge, kubernetes , language, language model, learning, logistic regression, machine learning, mass, matrix (mathematics), mean squared error, memory, mind, mind–body dualism, mood (psychology), mother, natural language processing, natural-language understanding, neural network, overfitting, perception, pragmatics, prediction, privacy, programming language, qcon, qcon london, qualitative research, quantitative research, racism, random forest, raw data, reality, reason, regression analysis, research, risk, science, sense, signal, slang, snorlax, social media, social science, software architecture, software development, space, standard deviation, statistical classification, subroutine, system, tab (interface), technology, text messaging, time, time series, training, validation, and test sets, transcripts, transparency (behavior), understanding, variance, virtual assistant, visual studio code, web application, whatsapp, word embedding, world wide web, youtube
Kasam Shaikh
Lead Cloud Architect at Capgemini
algorithm, anomaly detection, cloud computing, color, computer file, computer vision, computing, database, deep learning, digital image, facebook, hashtag, image analysis, image file formats, image segmentation, machine learning, microsoft word, optical character recognition, pixel, powershell, speech synthesis, statistical classification, text mining, visual perception
Niloshima Srivastava
Lead - SDE3 at Digital Control Incorporated
algorithm, apache spark, artificial neural network, brain, cloud computing, cluster analysis, computer file, computer science, computer vision, deep learning, devops, github, internet of things, machine learning, microsoft azure, microsoft bing, microsoft visual studio, mind, patch (computing), product lifecycle, sentiment analysis, speech recognition, statistical classification, tensorflow
Sonika Johri
Senior Quantum Applications Research Scientist at IonQ
accuracy and precision, algorithm, computer, computing, data science, database, dimension, education, experiment, histogram, k-nearest neighbors algorithm, machine, machine learning, matrix (mathematics), music, probability, quantum circuit, quantum computing, quantum superposition, reality, reason, science, scientist, software , statistical classification
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
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
Vanessa Klotzman
PhD Student at UC Irvine
accuracy and precision, android (operating system), benchmarking, business model, customer engagement, customer experience, deep learning, end user, evaluation, knowledge economy, loyalty business model, machine learning, motivation, observational learning, parameter, personalization, precision and recall, real-time computing, recommender system, research, robust statistics, sales, scalability, spotify, statistical classification
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
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
Patrick Hagerty
Chief Data Scientist at Arena
algorithmic bias, avatar (computing), bias, correlation and dependence, disparate impact, employment, generative adversarial network, job, labour economics, learning, logistic regression, machine learning, neural network, outlier, overfitting, prediction, race (human categorization), reason, religion, return on investment, science, society, statistical classification, unconscious mind
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
Sarah Drinkwater
Senior Advisor at Filecoin Foundation
ableism, aftermath of the 2016 united kingdom european union membership referendum, anti-discrimination law, belief, bias, brexit, citizenship, civil and political rights, cogx2021, disability, discrimination, ethics, european union law, facial recognition system, gender role, job interview, jointheconversation, machine learning, reason, social equality, social exclusion, statistical classification, training, validation, and test sets, trust (social science), type i and type ii errors
Brent Mittelstadt
Senior Research Fellow at Oxford Internet Institute, University of Oxford
ableism, aftermath of the 2016 united kingdom european union membership referendum, anti-discrimination law, belief, bias, brexit, chatbot, citizenship, civil and political rights, cogx2021, decision-making, disability, discrimination, doctor–patient relationship, end user, ethics, european union law, expert, facial recognition system, gender role, health, job interview, jointheconversation, life-cycle assessment, machine learning, medical ethics, medical guideline, national health service, patient, reason, regulatory compliance, research, science, scientific method, shame, social equality, social exclusion, statistical classification, training, validation, and test sets, transparency (behavior), triage, trust (social science), type i and type ii errors, understanding, usability
Sandra Wachter
Associate Professor and Senior Research Fellow at Oxford Internet Institute, University of Oxford
ableism, aftermath of the 2016 united kingdom european union membership referendum, anti-discrimination law, belief, bias, brexit, citizenship, civil and political rights, cogx2021, disability, discrimination, ethics, european union law, facial recognition system, gender role, job interview, jointheconversation, machine learning, reason, social equality, social exclusion, statistical classification, training, validation, and test sets, trust (social science), type i and type ii errors
Mike Moran
Chief Product Officer at SoloSegment
accuracy and precision, amazon (company), analytics, engineering, f-score, general data protection regulation, google analytics, ground truth, http cookie, machine learning, natural language processing, pattern recognition, personalization, postgresql, precision and recall, predictive analytics, search engine, search engine indexing, search engine optimization, six feet up, sixfeetup, statistical classification, training, validation, and test sets, understanding, web crawler, website
Antje Barth
Developer Evangelist at AWS
ai, ai conference, algorithm, amazon (company), amazon redshift, amazon sagemaker, amazon web services, analytics, api, artificial intelligence, automation, big data, bit, business intelligence, categorical variable, cloud computing, cluster analysis, computer file, computer vision, conceptual model, correlation and dependence, data, data lake, data quality, data science, database, database schema, deep learning, deployment environment, domain-specific language, engineering, expert, extract, transform, load, forecasting, function (mathematics), github, hyperparameter (machine learning), iot, kubernetes , language model, machine learning, mobile app, natural language processing, nlp, nosql, open database connectivity, pipeline (computing), pipeline (unix), porting, postgresql, prediction, predictive analytics, prototype, regression analysis, relational database, research, scalability, science, scripting language, select (sql), sequence, serverless, social media, speech recognition, statistical classification, statistics, streaming data, table (database), tensorflow, training, validation, and test sets, unstructured data, use case, user interface, virtual conference, web crawler, workflow, workload
Patrick Smith
Machine Learning Specialist at Google Cloud for Games
abuse, anomaly detection, audience engagement, biodiversity, boredom, cloud computing, cluster analysis, developers, education, engaging audience, game development conference, game development event, game studio, gaming engagement, ggds, ggds 2021, google cloud, google cloud platform, google for games, google for games 2021, google game development, google games, googleforgames, group cohesiveness, harassment, hatred, infidelity, intelligence, internet troll, machine learning, mobile game, multiplayer video game, natural language processing, personalized experiences, pr_pr: google for games, purpose: educate, reinforcement learning, risk, statistical classification, tensorflow, type: conference talk (full production), video game, word embedding
Vishu Cheruku
Customer Engineer at Google Cloud for Games
abuse, anomaly detection, audience engagement, biodiversity, boredom, cloud computing, cluster analysis, developers, education, engaging audience, game development conference, game development event, game studio, gaming engagement, ggds, ggds 2021, google cloud, google cloud platform, google for games, google for games 2021, google game development, google games, googleforgames, group cohesiveness, harassment, hatred, infidelity, intelligence, internet troll, machine learning, mobile game, multiplayer video game, natural language processing, personalized experiences, pr_pr: google for games, purpose: educate, reinforcement learning, risk, statistical classification, tensorflow, type: conference talk (full production), video game, word embedding
Lalit Jain
Assistant Professor at University of Washington
algorithm, bias, centrality, complexity, diagonal matrix, diffusion, experiment, function (mathematics), graph (discrete mathematics), information, logistic regression, markov chain, matrix (mathematics), maximum likelihood estimation, observation, pairwise comparison, regression analysis, regularization (mathematics), similarity measure, space, statistical classification, strongly connected component, trade-off, variance, weight
Sherin Mathews
Research Scientist at McAfee
accuracy and precision, addressing bias, algorithm, algorithmic fairness, bias, computer science, computer vision, correlation and dependence, deepfake, display resolution, doctor of philosophy, ethical ai, facial recognition system, graduate school, kullback–leibler divergence, machine learning, malware, prediction, reason, sampling (statistics), science, sensitivity and specificity, statistical classification, statistics, training, validation, and test sets, twitter, understanding
Amanda House
Data Scientist at Apple
accuracy and precision, addressing bias, algorithm, algorithmic fairness, bias, computer science, computer vision, correlation and dependence, deepfake, display resolution, doctor of philosophy, ethical ai, facial recognition system, graduate school, kullback–leibler divergence, machine learning, malware, prediction, reason, sampling (statistics), science, sensitivity and specificity, statistical classification, statistics, training, validation, and test sets, twitter, understanding
Bernd Wiswedel
CTO at KNIME
active learning (machine learning), algorithm, amazon (company), analytics, apache spark, authentication, backup, big data, bit, boolean data type, car, clock, cloud computing, computer data storage, computer file, data science, database, databricks, disk storage, dragon ball, eclipse (software), electricity, exception handling, executable, expert, fall summit, file system, goku, knime, knime analytics platform, knime time, law, logistic regression, machine learning, mathematics, payment, prediction, primitive data type, python (programming language), regression analysis, rumor, scheme (programming language), secure shell protocol, sharepoint, shortcut (computing), statistical classification, training, validation, and test sets, type conversion, user experience, web application, web browser, whats new
Maxwell Ogunfunwa
Senior Data Engineer at Casted
algorithm, amazon web services, application software, cloud computing, computer vision, confidence interval, data model, database, decision-making, emerging technologies, extract, transform, load, intelligence analysis, machine learning, metadata, mind, natural language processing, prediction, reason, six feet up, sixfeetup, software , statistical classification, use case
Luiz Gustavo Martins
TensorFlow & Machine Learning at Google
#googleio, analytics, common kingfisher, conservation movement, documentation, email spam, google announcement, google conference. google, google developer conference, google i/o, google io, humpback whale, imagenet, imax, kaggle, landing page, laptop, learning, library, machine learning, ml real world impact, mobile app, mobile phone, new in tensorflow, poaching, pr_pr: google i/o, purpose: educate, sound, statistical classification, temperature, tensorflow, tensorflow hub, tensorflow hub solutions, tensorflow machine learning, tensorflow machine learning solutions, tf hub, tf hub models, transfer learning, type: conference talk (full production), web browser, whale, whale vocalization
Elizabeth Kemp
Software Engineer at Google
#googleio, analytics, common kingfisher, conservation movement, documentation, email spam, google announcement, google conference. google, google developer conference, google i/o, google io, humpback whale, imagenet, imax, kaggle, landing page, laptop, learning, library, machine learning, ml real world impact, mobile app, mobile phone, new in tensorflow, poaching, pr_pr: google i/o, purpose: educate, sound, statistical classification, temperature, tensorflow, tensorflow hub, tensorflow hub solutions, tensorflow machine learning, tensorflow machine learning solutions, tf hub, tf hub models, transfer learning, type: conference talk (full production), web browser, whale, whale vocalization
Ludovic Peran
Product Manager for AI research - Google Brain at Google
#googleio, accuracy and precision, ai, ai deployments, ai toolkit, ai updates, concept, confidence interval, contract, counterfactual conditional, false positives and false negatives, gender, google, google ai, google ai updates, google announcement, google conference. google, google developer conference, google i/o, google io, html, hyperparameter (machine learning), measurement, mediation, new in ai, pr_pr: google i/o, prediction, privacy, purpose: educate, qualitative research, quantitative research, reason, research, responsible ai, responsible ai google, responsible ai toolkit, responsible ai tools, responsible ai with tensorflow, software framework, statistical classification, statistics, tensorflow, tensorflow responsible ai, type: conference talk (full production), use case, user-generated content, youtube
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