Talks

behavior, car, chatbot, conversation, customer, customer experience, customer service, divorce, empathy, engineer, experiment, future, information, machine learning, risk, safety, cash register, minimum viable product, paralanguage, predictive modelling, self-service, face masks during the covid-19 pandemic, copenhagen

analytics, big data, culture, database, digital marketing, feeling, game balance, learning, narrative, podcast, reason, social media, storytelling, trigonometry, web analytics, aesthetics, literacy, predictive modelling, visual perception, visualization (graphics), wikipedia, workforce development, world wide web, adult education, the souls of black folk

analytics, augmented reality, cloud computing, data collection, downtime, innovation, internet of things, learning, machine learning, microsoft, mobile app, predictive analytics, research, accuracy and precision, correlation and dependence, dashboard (business), digital twin, gateway (telecommunications), predictive modelling, real-time computing, regression analysis, sensitivity and specificity, fraction

advertising, analytics, brand, customer experience, emotion, finance, governance, mind, reason, risk, social media, amazon (company), bank, co-creation, eureka effect, investment management, online chat, option (finance), pleasure, predictive modelling, videotelephony

analytics, automation, brand, consumer behaviour, customer experience, data, digital, digital transformation, entertainment, innovation, insurance, machine learning, news, prediction, retail, risk management, startup company, supply chain, technology, walmart, fragmentation (computing), macquarie group, mergers and acquisitions, predictive modelling, single source of truth, supermarket, legal liability, digital enterprise, macquarie, macquarie technology summit, macquarie bank, adam briussi, barry conlon, joe perrone, overhaul, quantium, richard white, wisetech global

behavior, brand, customer lifetime value, data mining, deep learning, forecasting, learning, machine learning, prediction, predictive analytics, retail, accuracy and precision, aid, attention, coefficient of determination, cross entropy, decision tree learning, gini coefficient, insight, mean squared error, predictive modelling, receiver operating characteristic, regression analysis, scope (computer science)

blockchain, causality, cryptocurrency, data science, ethereum, hypothesis, information, model selection, research, science, autoregressive model, calibration, function (mathematics), hyperparameter optimization, likelihood function, maximum likelihood estimation, normal distribution, parameter, predictive modelling, time series, white noise, gaussian function, multivariate normal distribution, vector autoregression, likelihood-ratio test, multimodal systems, statistical causality

analytics, concept, data science, deep learning, facebook, feeling, information, knowledge, language, machine learning, mind, nothing, reality, science, self-driving car, statistics, time, analogy, decision-making, k-nearest neighbors algorithm, predictive modelling, statistical classification, supervised learning, training, validation, and test sets, uncertainty, analytics leadership, data science conference 2020, analytics & data science, university of cincinnati, ai 2020, virtual analytics summit 2020, analytics conference 2020, uc center for business analytics, decision- making process

analytics, big data, computing, data mining, data science, database, distributed computing, forecasting, innovation, machine learning, policy, prediction, social media, statistics, technology, computer performance, curriculum, integer programming, mathematical optimization, predictive modelling, program optimization, text mining, understanding

analysis, analytics, data visualization , emotion, language, machine learning, qualitative research, research, aesthetics, attitude (psychology), conceptual model, evaluation, linguistics, predictive modelling, research question, sensitivity and specificity, sentiment analysis, statistical classification, text mining, understanding, unstructured data, unsupervised learning, visualization (graphics), appraisal theory

analytics, consumer behaviour, customer experience, economics, feature engineering, forecasting, machine learning, prediction, retail, risk, sales, software testing, time, customer retention, decision-making, kroger, loyalty business model, predictive modelling, theory, time series, understanding, intention, bricks and clicks

machine learning, artificial intelligence, computer hardware, computer vision, data science, deep learning, machine learning, memory, neural network, prediction, artificial neural network, autoregressive integrated moving average, autoregressive model, convolutional neural network, correlation and dependence, cross-validation (statistics), data transformation, errors and residuals, inventory, long short-term memory, predictive modelling, real-time computing, recurrent neural network, seasonality, time series, training, validation, and test sets, variance, acm 2020, computer science event 2020, kdd2020, computer science 2020, kdd2020 tutorials, moving-average model

analytics, causality, hypothesis, inference, machine learning, probability, research, science, statistics, accuracy and precision, belief, cancer, decision-making, electronic health record, evidence-based medicine, expected value, international system of units, loss function, predictive modelling, regression analysis, trust (social science), causal inference, hospital medicine, hard problem of consciousness

communication, deep learning, information, learning, machine learning, neural network, pediatrics, risk, attention, breathing, electronic health record, hospital, hospital readmission, intuition, medical record, patient, point of care, predictive modelling, risk assessment, sample size determination, sensitivity and specificity, truth, hospital medicine, positive and negative predictive values, johns hopkins all children's hospital

analytics, census, disability, health care, information, learning, machine learning, music, pediatrics, prediction, risk, visual analytics, anesthesia, bayesian inference, child, demography, hospital, medical history, neurology, patient, predictive modelling, surgery, decision tree, johns hopkins all children's hospital, perioperative

disease, future, robot, singapore, vaccine, world health organization, average, boxing, cancer, deadpool, influenza, influenza vaccine, lawn, lawn mower, mortality rate, predictive modelling, prevalence, tea, virus, marble, orthomyxoviridae, respiratory disease, mower, flu season, northern hemisphere

analytics, big data, collaboration, data warehouse, facebook, google, health, keynote, leadership, machine learning, master data management, mental health, proprietary software, relational database, social media, storytelling, user interface, dashboard (business), decision-making, homelessness, patient, predictive modelling, social work, targeted advertising, syrian civil war

amazon web services, analytics, big data, biology, cloud computing, computer science, computing, data science, deep learning, expert, leadership, linkedin, machine learning, mathematics, mentorship, privacy, statistics, epidemiology, facial recognition system, general data protection regulation, predictive modelling, quantitative research, women in stem fields, survival analysis, leading-edge companies, number of domains, science-related research, decode genetics

analytics, brand awareness, customer lifetime value, data, data analysis, data science, database, digital marketing, google analytics, machine learning, predictive analytics, web analytics, click-through rate, dashboard (business), data driven marketing, dependent and independent variables, exploratory data analysis, industrial revolution, logistic regression, market segmentation, marketing mix, medicare (united states), predictive modelling, regression analysis, statistical classification, marketing mix modeling

analytics, brand, causality, experiment, machine learning, mobile app, modeling, motivation, neural network, prediction, python, reddit, sales, social media, waze, accuracy and precision, apple inc., marketing mix, placebo, predictive modelling, profit (economics), profit maximization, recommender system, sensitivity analysis, use case, wisdom

analytics, behavior, computer, consumer behaviour, engineering, facebook, information, internet, learning, machine learning, prediction, science, time, accuracy and precision, attention, fee, global positioning system, pay television, predictive modelling, random forest, stack (abstract data type), subscription business model, telecommunication, thought, predict customer, f-score

ai, algorithms, analytics, covid-19, data, data science, data visualization , health care, healthcare, human, innovation, machine learning, medicine, pandemic, podcast, predictive analytics, risk, stanford conference, technology, wids, women in data, women in data science, women in technology, women in technology conference, chronic condition, cigna, coronavirus disease 2019, disease management (health), emergency department, epidemiology, medicaid, medicare (united states), pharmacy, predictive modelling, race (human categorization), sense, diagnosis code, applied mathematics, covid-19 testing, standford university, wids datathon, wids artificial intelligence, evernorth, gina papush, case management (us healthcare system)

data science, exception handling, hypothesis, machine learning, pandas, prediction, pytest, python, python community, regular expression, software , standard deviation, statistics, unit testing, bootstrapping (statistics), categorical variable, conceptual model, data type, extract, transform, load, mean, mode (statistics), normal distribution, predictive modelling, primitive data type, probability distribution, regression analysis, statistical inference, string (computer science), type system, python software foundation, scheme (programming language), pycon us, pycon us 2021, python talks 2021, python 2021, python tutorials 2021, pycon 2021 talks, niels bantilan, niels bantilan python, statistical typing, talk by niels bantilan

clinical trial, clustering, data visualization , design, disease, engineering, experiment, hypothesis, machine learning, physics, prediction, profile, psychology, python, research, science, scipy, correlation and dependence, dependent and independent variables, executive functions, infection, nonlinear system, normal distribution, observation, predictive modelling, principal component analysis, scientific method, parallel coordinates, dimension reduction, biology and bioinformatics, biological, biological mechanism, clinical, cognitive disorder, neuropsychological test

algorithm, analytics, data mining, logistics, machine learning, neural network, open-source software, prediction, python, sas, software , source code, complexity, computer file, computer network, environment variable, goal, library (computing), predictive modelling, pricing, project jupyter, python (programming language), random forest, regression analysis, sas (software), server (computing), sas global forum, sas global forum 2021, sas technology, virtual sas global forum, virtual sas global forum 2021, ct global solutions, data mining and machine learning, sas analytics, sas visual data mining, freight transport

chatbot, data scientist, database, health care, language, legal services, machine learning, natural language processing, nlp, psychology, research, sas, software , speech, statistics, industrial and organizational psychology, linguistics, matrix (mathematics), noun, parsing, part of speech, predictive modelling, psychometrics, reserved word, sas (software), sentiment analysis, verb, sentence (linguistics), clause, sas global forum, sas global forum 2021, sas technology, virtual sas global forum, virtual sas global forum 2021, epidemiologist, integrate with data sources, medical and legal data, nlp sas, predictive analytical models, psychological models, researcher, sas natural language processing, staticlysm, structured data, text analytics, text data analysis, text sentiment, grammatical tense

algorithm, analytics, data scientist, food, machine learning, marketing, open source, prediction, professional services, risk, sas, statistics, bank, bootstrapping (statistics), computer file, decision tree learning, dependent and independent variables, direct marketing, feature selection, function (mathematics), parameter, predictive modelling, random forest, randomness, regression analysis, sas (software), sampling (statistics), statistical classification, training, validation, and test sets, bootstrap aggregating, bagging trees, bias predictors, build bagging trees, build bagging trees with sas, decision trees, ml algorithums, proc hpforest, proc hpspilt, sas global forum, sas global forum 2021, sas programming, sas technology, telus communications, virtual sas global forum, virtual sas global forum 2021

2020, amazon, amazon s3, analytics, api, aws, fraud, insurance, internet, machine learning, microservices, prediction, research, united states, accuracy and precision, amazon alexa, artificial neural network, credit card, latency (engineering), predictive modelling, real-time computing, sensitivity and specificity, social engineering (security), training, validation, and test sets, type i and type ii errors, unsupervised learning, aws events, aws summit online, may 13, level 200, fraud detector, track 1, track 2, track: interact, track: machine learnin, track: machine learning

analytics, authentication, automation, census, data analysis, data warehouse, database, email, html, prediction, predictive analytics, research, science, simulation, software , active directory, coronavirus disease 2019, laptop, predictive modelling, python (programming language), scientist, server (computing), visualization (graphics), rstats, rmedicine, university of wisconsin–madison, teaching hospital

analytics, bioinformatics, computer science, data analysis, data visualization , data warehouse, github, health care, kaiser permanente, learning, machine learning, medicine, mentorship, research, comorbidity, educational technology, emergency department, health informatics, hospital readmission, informatics, logistic regression, predictive modelling, regression analysis, teacher, decision tree, rstats