Talks

advertising, amazon, amazon prime, amazon web services, concept, design, entertainment, gamesbeat, intelligence, leadership, learning, livestreaming, news, physics, price, retail, simulation, software testing, technology, venturebeat, amazon (company), golf, subscription business model, twitch, twitch (service), amazon game studios, gamesbeat summit 2020

addiction, amazon, autism, aws, creativity, culture, customer, design thinking, evolution, experience, experiment, fintech, innovation, science, siri, startup company, technology, user interface, amazon (company), amazon alexa, bank, bit, child, decision-making, end user, hearing loss, human-centered design, macquarie group, pleasure, universal design, macquarie, macquarie technology summit, macquarie bank, centre for inclusive design, manisha amin, rosalind coffey, toni knowlson, yuan dynasty

ai, amazon, api, artificial intelligence, aws, database, facebook, forecasting, machine learning, software , time, attention, covid-19 pandemic, comma-separated values, computer simulation, moving average, sense, situation awareness, specification (technical standard), visualization (graphics), weather forecasting, face masks during the covid-19 pandemic, robust statistics, hard problem of consciousness, covid-19 testing, signs and symptoms, aws machine learning summit, aws ml summit, science of machine learning, sml406, flu season, asymptomatic, oseltamivir

ai, amazon, artificial intelligence, aws, machine learning, aws machine learning summit, aws ml summit, science of machine learning, sml405

ai, amazon, artificial intelligence, aws, computer vision, convex optimization, deep learning, dimension, expert, machine learning, manufacturing, semi-supervised learning, social media, artificial neural network, cross entropy, euclidean space, icon (computing), inventory, laptop, logo, mass media, mathematical optimization, mental image, tablet computer, template (c++), visual perception, robust statistics, aws machine learning summit, aws ml summit, science of machine learning, sml404

addiction, ai, amazon, anxiety, artificial intelligence, aws, deep learning, health care, machine learning, mental health, natural language processing, psychology, social media, therapy, chronic condition, clinical psychology, health insurance portability and accountability act, major depressive disorder, mental disorder, meta-analysis, screening (medicine), stress (biology), suicide, supervised learning, unsupervised learning, neuroticism, computational linguistics, aws machine learning summit, aws ml summit, science of machine learning, sml403

ai, algorithm, amazon, artificial intelligence, aws, data, deep learning, human, information, language, learning, machine learning, price, question, question answering, syntax, system, accuracy and precision, data model, language model, likelihood function, maximum likelihood estimation, phrase, training, validation, and test sets, translation, sentence (linguistics), grammaticality, aws machine learning summit, aws ml summit, science of machine learning, sml402, word order

ai, algorithm, amazon, artificial intelligence, aws, bias, census, database, differential privacy, experiment, machine learning, privacy, research, science, accuracy and precision, error, information privacy, information sensitivity, mathematical optimization, medical record, race (human categorization), racism, thought experiment, grading in education, college admissions in the united states, aws machine learning summit, aws ml summit, science of machine learning, sml401, fairness (machine learning), michael kearns (computer scientist)

ai, amazon, artificial intelligence, aws, causality, computer science, computer vision, deep learning, empathy, ethics, future, machine learning, mathematics, mind, physics, reality, reason, simulation, software , emergence, human nature, machine translation, particle physics, theory, time travel, unstructured data, world wide web, altruism, aws machine learning summit, aws ml summit, science of machine learning, sml301

ai, amazon, amazon web services, artificial intelligence, authentication, aws, brand, discoverability, machine learning, metadata, mobile app, multi-armed bandit, omnichannel, personalization, retail, shopping, sms, amazon (company), click-through rate, computer network, fee, long tail, online shopping, real-time computing, recommender system, recurrent neural network, touchpoint, web browsing history, aws machine learning summit, aws ml summit, no expertise required, mle304

ai, amazon, amazon web services, api, artificial intelligence, automation, aws, backup, best practice, cloud computing, data science, database, devops, expert, future, machine learning, microservices, scalability, system, telemetry, amazon dynamodb, amazon elastic compute cloud, bit, dashboard (business), gateway (telecommunications), load balancing (computing), program optimization, reliability engineering, stack (abstract data type), aws machine learning summit, aws ml summit, no expertise required, mle303

ai, amazon, amazon web services, api, artificial intelligence, aws, chatbot, database, documentation, internet, machine learning, research, salesforce, science, search engine, sharepoint, wiki, amazon (company), artificial neural network, call centre, faq, information retrieval, tag (metadata), uniform resource identifier, unstructured data, wikipedia, natural-language user interface, aws machine learning summit, aws ml summit, no expertise required, mle302, 2020 united states presidential election, search engine technology

ai, algorithm, amazon, analytics, api, artificial intelligence, aws, cloud computing, computer programming, database, education, experiment, language, learning, machine learning, music, natural language processing, prediction, predictive analytics, amazon dynamodb, business rule, computer file, insight, linguistics, optical character recognition, pipeline (computing), receipt, use case, aws machine learning summit, aws ml summit, no expertise required, mle301

advertising, ai, amazon, amazon web services, analytics, artificial intelligence, automation, aws, cloud computing, computer vision, expert, innovation, interactivity, machine learning, metadata, speech recognition, binge-watching, closed captioning, computer file, disney+, library (computing), media consumption, streaming media, subtitles, tag (metadata), use case, aws machine learning summit, aws ml summit, no expertise required, mle205, mass media in the united states

ai, amazon, amazon rekognition, analytics, artificial intelligence, automation, aws, chatbot, computer vision, database, deep learning, graphics processing unit, information, machine learning, natural language processing, productivity, amazon (company), automated machine learning, comma-separated values, end user, facial recognition system, market (economics), parameter (computer programming), pricing, software bug, spreadsheet, use case, aws machine learning summit, aws ml summit, no expertise required, mle204

ai, amazon, amazon web services, analytics, anomaly detection, artificial intelligence, aws, business analytics, central processing unit, customer experience, food, forecasting, internet, machine learning, retail, shopping, usability, website, amazon (company), grocery store, inventory, mail, time series, web template system, world wide web, direct-to-consumer, aws machine learning summit, aws ml summit, no expertise required, mle203

ai, amazon, amazon web services, artificial intelligence, aws, intelligence, learning, machine learning, pixel, prediction, reinforcement learning, robot, simulation, statistics, artificial neural network, cartesian coordinate system, convolutional neural network, distance, dog, grayscale, pet, python (programming language), race (human categorization), reinforcement, unsupervised learning, waypoint, aws machine learning summit, aws ml summit, no expertise required, mle202

ai, amazon, amazon web services, analytics, artificial intelligence, aws, chatbot, cloud computing, computer, customer experience, deep learning, digital transformation, machine learning, outsourcing, salesforce, virtual assistant, amazon (company), call centre, customer relationship management, dashboard (business), insight, interactive voice response, sentiment analysis, serverless computing, text mining, twilio, transcription (music), aws machine learning summit, aws ml summit, mle201, no expertise required

ai, amazon, artificial intelligence, aws, blackrock, car, climate change, fuel, goldman sachs, greenhouse gas emissions, infrastructure, investment, machine learning, prediction, software , air handler, amazon (company), bit, capital market, chiller, fossil fuel, green new deal, indoor air quality, moore's law, streaming media, the blackstone group, transport, water heating, aws machine learning summit, aws ml summit, impact of machine learning, iml207

ai, algorithm, amazon, artificial intelligence, automation, aws, chatbot, data quality, data science, engineering, experiment, linkedin, machine learning, metadata, policy, product lifecycle, science, usability, war, water, web application, workflow, amazon (company), kodi (software), laptop, parachute, proof of concept, world wide web, aws machine learning summit, aws ml summit, impact of machine learning, iml205, moral development

5g, ai, amazon, amazon web services, artificial intelligence, augmented reality, automation, aws, brand, cloud computing, database, innovation, machine learning, outsourcing, technology, value chain, virtual reality, amazon (company), anger, immortality, positive feedback, real-time computing, server (computing), goalkeeper (association football), penalty kick (association football), aws machine learning summit, aws ml summit, impact of machine learning, iml204, color television, field hockey, high jump

ai, amazon, amazon web services, analytics, artificial intelligence, aws, cloud computing, computing, concept, database, employee retention, employment, feedback, innovation, machine learning, natural language processing, software , software development, system, high availability, human resource management system, payroll, retirement, sas (software), semantic web, telecommuting, turnover (employment), augmented analytics, aws machine learning summit, aws ml summit, impact of machine learning, iml203

ai, amazon, analytics, artificial intelligence, automation, aws, census, clinical trial, cloud computing, consent, data science, database, identity management, interoperability, machine learning, natural language processing, product lifecycle, software , surveillance, deployment environment, digital twin, interface (computing), pathology, regulatory compliance, standardization, text mining, drug design, aws machine learning summit, aws ml summit, impact of machine learning, iml202

3d printing, ai, amazon, analytics, artificial intelligence, automation, aws, business model, database, innovation, internet of things, machine learning, prediction, research, science, simulation, computer-aided design, educational technology, hackathon, health informatics, information system, inventory, life-cycle assessment, orthodontics, polymer, sensor, abrasive, sandpaper, aws machine learning summit, aws ml summit, iml201, impact of machine learning

ai, algorithm, amazon, amazon web services, api, artificial intelligence, aws, central processing unit, computer hardware, deep learning, graphics processing unit, machine learning, natural language processing, tensorflow, amazon elastic compute cloud, customer relationship management, document classification, global positioning system, hyperparameter (machine learning), instruction pipelining, logic, message passing interface, modding, network topology, percentage, supercomputer, von neumann architecture, aws machine learning summit, aws ml summit, how machine learning is done, hml401

ai, amazon, amazon web services, artificial intelligence, aws, computing, deep learning, graphics processing unit, kubernetes , machine learning, operating system, software , tensorflow, tool, amazon elastic compute cloud, application software, command-line interface, computer cluster, consensus (computer science), hyperparameter (machine learning), laptop, library (computing), project jupyter, server (computing), software framework, specification (technical standard), stack (abstract data type), thread (computing), app store (ios/ipados), aws machine learning summit, aws ml summit, how machine learning is done, hml307

ai, amazon, amazon web services, artificial intelligence, aws, bias, documentation, engineer, learning, library, machine learning, pdf, prediction, research, software , speech recognition, biostatistics, goal, input/output, library (computing), life-cycle assessment, python (programming language), regulatory compliance, transparency (behavior), use case, visualization (graphics), compliance requirements, aws machine learning summit, aws ml summit, how machine learning is done, hml306, pacemaker (running)

ai, amazon, artificial intelligence, aws, cloud computing, deep learning, engineering, graphics processing unit, inference, machine learning, memory, prediction, sms, spotify, activation function, amazon elastic compute cloud, artificial neural network, chromecast, data pre-processing, error detection and correction, life-cycle assessment, multi-factor authentication, outlier, overfitting, performance indicator, real-time computing, use case, cd-rom, aws machine learning summit, aws ml summit, how machine learning is done, hml305

ai, amazon, artificial intelligence, aws, cloud computing, fraud, machine learning, open-source software, risk, source code, statistics, tensorflow, accuracy and precision, amazon elastic compute cloud, artificial neural network, backpropagation, cluster analysis, command-line interface, entry point, ground truth, hyperparameter (machine learning), mean squared error, parameter (computer programming), precision and recall, regression analysis, software framework, software repository, upload, early stopping, aws machine learning summit, aws ml summit, how machine learning is done, hml304

ai, amazon, apache kafka, artificial intelligence, aws, brand, data analysis, data science, feature engineering, forecasting, machine learning, prediction, statistics, weather, bottleneck (production), command-line interface, computer file, mean, online and offline, outlier, pipeline (computing), precipitation, project jupyter, raw data, real-time computing, training, validation, and test sets, use case, visualization (graphics), aws machine learning summit, aws ml summit, how machine learning is done, hml303