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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
Hemant Malik
Principal Solutions Architect, Cloud Partners at Elastic
add the power of search to your microsoft azure environment | od503, adrienne cohen, analytics, anomaly detection, azure, azure: analytics, azure: developer tools, azure: devops, build, c1x9, categorization, cloud computing, elasticsearch, equation, hemant malik, information, information security, insight, internet, jaime easter, jennifer garcia, john knoepfle, knowledge worker, kubernetes , learning, machine learning, malware, mathematics, microservices, microsoft, microsoft azure, microsoft build, microsoft build 2021, microsoft developer, msft build, msft build 2021, od503, on-demand, organization, password, pdf, reliability engineering, telemetry
Jonh Knoepfle
Principal Solutions Architect at Elastic
add the power of search to your microsoft azure environment | od503, adrienne cohen, analytics, anomaly detection, azure, azure: analytics, azure: developer tools, azure: devops, build, c1x9, categorization, cloud computing, elasticsearch, equation, hemant malik, information, information security, insight, internet, jaime easter, jennifer garcia, john knoepfle, knowledge worker, kubernetes , learning, machine learning, malware, mathematics, microservices, microsoft, microsoft azure, microsoft build, microsoft build 2021, microsoft developer, msft build, msft build 2021, od503, on-demand, organization, password, pdf, reliability engineering, telemetry
Shivagami Gugan
Group Chief Technology Officer at IDC Technologies, Inc.
anomaly detection, automation, castle, chaos theory, cloud computing, culture, design, engineering, experiment, fault tolerance, firewall (computing), goal, information, internet of things, internet protocol, learning, machine learning, mediation, music, reliability engineering, streaming media, system, technology, use case
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
Jess Garcia
Founder at One eSecurity
anomaly detection, artifact (archaeology), big data, computer, computer file, directory (computing), emerging technologies, file system, forensic science, intelligence, machine learning, memory, metadata, news, password, police, prediction, scheduling (computing), science, system, tablet computer, technology, thread (computing), wisdom
Brujo Benavides
Staff Engineer at NextRoll
30 rock, 3d printing, acura, airline, amelia island, android (operating system), anomaly detection, anonymous function, apple inc., application software, aquarium, aurora (disney), ballistics, barometer, behavior, binary file, bit, blog, boolean data type, brown dwarf, california, callback (computer programming), canada, cell site, central processing unit, cisco systems, classical element, classical guitar, code, colombia, color, command-line interface, communication, compiler, computer, computer data storage, computer hardware, computer network, computer programming, computing, confidentiality, covid-19 pandemic, cut, copy, and paste, database, dell, dental braces, directory (computing), dog, ebay, elijah, elmo, elvis presley, email, emoji, employment, encapsulation (computer programming), error, espn, feedback, feeling, floating-point arithmetic, food, function (mathematics), functional programming, glasses, google, gradient descent, graphics processing unit, guitar, hippie, hispanic and latino americans, http cookie, information, information retrieval, interface (computing), internet, internet of things, interview, intrusion detection system, ios, java (programming language), knowledge, language, lawyer, learning curve, lease, library, library (computing), list comprehension, logic, love, luck, machine, machine learning, magic (supernatural), makefile, mars, mars landing, mathematical optimization, mathematics, meme, memory, metadata, metallica, method (computer programming), mobile app, modular programming, mother, motivation, music, navigation, neural network, news, nothing, nvidia, observation, open source, open-source-software movement, oregon, paragraph, parameter (computer programming), perception, perseverance (rover), philadelphia, philippines, playstation, playstation vita, price, property, random-access memory, raspberry pi, real-time computing, reason, recursion, recursion (computer science), reddit, reliability engineering, research, return statement, rock music, ruby (programming language), runtime system, samsung galaxy s4, satellite, sauce, semicolon, server (computing), sibling, siri, software , source code, source lines of code, space, spain, spanish language, speech synthesis, statistics, string (computer science), stroke, stylus, subroutine, text messaging, the home depot, the runaways (2010 film), time, timer, truth, twitter, type system, united states, vector processor, version control, video card, visual basic, wind, youtube
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
Bryan Elverson
MTS Software Engineer at Riverbed Technology
bigdata2020, high-tech companies, anomaly detection, application of big data, byte, c++, central processing unit, communication protocol, computer data storage, computer hardware, computer network, computer performance, computing, dashboard (business), database, database engine, digital equipment corporation, disk storage, high-technology, innovation, internet protocol, it data, machine learning, network management, network performance management, pipeline (computing), port (computer networking), router (computing), science, technology professionals, telephone call, telephone switchboard, thread (computing), time series
Smit Shah
Senior Software Engineer at Zillow, Inc.
anomaly detection, behavior, big data, customer experience, data, data quality, database, engineering, hyperparameter (machine learning), market research, mathematical model, mind, motivation, prediction, price, reliability engineering, research, resource, root cause analysis, scalability, system, time series, training, validation, and test sets, use case, user-defined function, zillow
Sayan Chakraborty
Data Scientist at Zillow, Inc.
anomaly detection, behavior, big data, customer experience, data, data quality, database, engineering, hyperparameter (machine learning), market research, mathematical model, mind, motivation, prediction, price, reliability engineering, research, resource, root cause analysis, scalability, system, time series, training, validation, and test sets, use case, user-defined function, zillow
Hugh Hind
President | Co-founder at Quadrical.ai
ai, ai in mumbai, anomaly detection, artificial intelligence, artificialintelligence, asset, automation, bigdata, bit, business, byte, cloud computing, code, coding, concept, data, datascience, deeplearning, domain name system, entrepreneur, fintech, fintechs, future, futureofwork, going global, hard disk drive, income, india, innovation, internet, iot, language, logistics, long short-term memory, machinelearning, memory, ml, mumbai, mumbai ai, netscape, outlier, prediction, programmer, programming, python, robot, robotics, science, startup, startups, statistical classification, system, tax, tech, tech enthusiast, technology, web browser, womenintech, world wide web
Jan Jongboom
Developer Evangelist IoT at ARM
machine learning approaches, accelerometer, accuracy and precision, algorithm, alphago, altitude, android (operating system), anomaly detection, artificial intelligence, artificial intelligence 2020, artificial neural network, atmospheric pressure, central processing unit, cloud computing, cluster analysis, computer, computer data storage, computer network, computer science, computer science 2021, computer science event, computer science event 2021, convolution, convolutional neural network, correlation and dependence, data compression, deep learning, deepmind, email, embedded system, encryption, engineering, filter (signal processing), future, graph (abstract data type), hyperparameter (machine learning), information technology conference , innovation, intel, intelligence, internet, iot, k-means clustering, keyboard technology, language, latency (engineering), lawyer, learning, learning rate, lora, lorawan, low-pass filter, machine learning, machine learning 2020, machine learning 2021, machine learning techniques, machine learning technologie, machine learning technologies , machine learning tools, map, microsoft, microsoft windows, network, network optimization , neural network, of, parameter, perception, pipeline (computing), pixel, plug and play, prediction, random-access memory, raster graphics, read-only memory, reason, recurrent neural network, sears, sensor, signal, signal processing, spectral density, switch, talk by peter schulmeyer, tax, technologie, the, thermometer, things, tinyml conference 2020, tinyml foundation, tinyml talks 2021, tinyml2021, tinyml2021 talk, ttn, tuner (radio), walt disney world, water
Karl Albertsen
Principal Product Manager, Tech - AI Vertical Services at Amazon Web Services (AWS)
ai, amazon, amazon (company), amazon web services, analytics, anomaly detection, artificial intelligence, aws, aws machine learning summit, aws ml summit, business analytics, central processing unit, customer experience, direct-to-consumer, food, forecasting, grocery store, internet, inventory, machine learning, mail, mle203, no expertise required, retail, shopping, time series, usability, web template system, website, world wide web
Bo Long
Vice President of Engineering at JD.COM
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Yang Yang
Software Engineer at Pinterest
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Tie Wang
Engineering Manager- Relevance Engineering at LinkedIn
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Xinwei Gong
Staff Software Engineer at LinkedIn
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Yen-Jung Chang
Applied Research Scientist at Facebook AI
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Kexin Nie
Research Scientist at Facebook
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Ruoying Wang
Software Engineer at LinkedIn
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Joe Ross
Principal Data Scientist at Splunk
adaboost, ai, anomaly detection, artificial neural network, average, bias–variance tradeoff, big data technology engineering software engineering software development, boosting (machine learning), calculus, computer vision, data structures, decision tree learning, differentiable function, ensemble learning, error, errors and residuals, exponential function, generalization error, hypothesis, kernel method, machine learning, mathematical optimization, mathematics, mean, median, norm (mathematics), normal distribution, outlier, overfitting, parameter, polynomial, quantile, random forest, random variable, random walk, read-only memory, real number, resampling (statistics), research, resource, sampling (statistics), service-level agreement, signal, skewness, standard deviation, statistical classification, statistics, stream processing, string (computer science), tangent, taylor series, time, time series, variance, vector space
Vijay Janapa Reddi
MLPerf Inference Chair, Associate Professor at John A. Paulson School of Engineering and Applied Sciences, Harvard University
algorithm, android (operating system), anomaly detection, api, apple inc., application software, benchmarking, bit, calibration, camera, carnegie mellon university, central processing unit, cloud computing, computer architecture, computer hardware, computer network, computer science, computer vision, computing, data science, distributed computing, emergence, end user, engineering, framebuffer, global positioning system, google, graphics processing unit, hardware acceleration, image editing, image resolution, image segmentation, information, internet of things, learning, machine learning, massachusetts institute of technology, memory, microcontroller, microsoft office, mobile phone, mobile software, motivation, neural network, pipeline (computing), pixel, privacy, qualcomm snapdragon, quality of experience, raspberry pi, real-time computing, reason, self-driving car, sensor, signal, smart speaker, smartphone, software , system, system on a chip, throughput, use case, visual perception
Chris Harrison
CTO at Qeexo
anomaly detection, apple inc., application software, bit, calibration, carnegie mellon university, cloud computing, computer hardware, data science, distributed computing, emergence, google, information, internet of things, machine learning, massachusetts institute of technology, microsoft office, privacy, real-time computing, sensor, signal, smart speaker, software , system
Gierad Laput
Researcher at Apple
anomaly detection, apple inc., application software, bit, calibration, carnegie mellon university, cloud computing, computer hardware, data science, distributed computing, emergence, google, information, internet of things, machine learning, massachusetts institute of technology, microsoft office, privacy, real-time computing, sensor, signal, smart speaker, software , system
John Fry
Senior Director Technology Strategy: ARM IoT Services Group at Arm
anomaly detection, apple inc., application software, bit, calibration, carnegie mellon university, cloud computing, computer hardware, data science, distributed computing, emergence, google, information, internet of things, machine learning, massachusetts institute of technology, microsoft office, privacy, real-time computing, sensor, signal, smart speaker, software , system
Tina Shyuan
Director of Product Marketing at Qeexo
anomaly detection, apple inc., application software, bit, calibration, carnegie mellon university, cloud computing, computer hardware, data science, distributed computing, emergence, google, information, internet of things, machine learning, massachusetts institute of technology, microsoft office, privacy, real-time computing, sensor, signal, smart speaker, software , system
Meina Zhou
Director of Data Science at Solve(d)
ai, anomaly detection, automation, blockchain, cluster analysis, computer vision, continuous delivery, continuous integration, data quality, data science, data scientist, database, extract, transform, load, fraud, health care, internet of things, ios, laptop, machine learning, medical billing, metadata, pipeline (computing), prediction, research, science, server (computing), statistical classification, supervised learning, use case
Mai-Lan Tomsen Bukovec
WS Vice President at Amazon Web Services (AWS)
amazon (company), amazon elastic compute cloud, amazon web services, analytics, anomaly detection, archive, attention, backup, cam, cloud computing, cloud storage, comma-separated values, communication protocol, complexity, computer, computer appliance, computer data storage, computer file, computer hardware, computer performance, cost, data center, data model, data type, data warehouse, dave vellante, digitalglobe, dynamic pricing, electronic health record, encryption, engineering, financial industry regulatory authority, goal, health, icloud, innovation, intel, intelligence, internet of things, john furrier, learning, machine learning, mind, object storage, peace corps, price, pricing, property, reason, replication (computing), research, sales, salesforce, science, technology, engineering, and mathematics, serverless computing, siliconangle, siliconangle inc, siliconangle media inc, software , speeds and feeds, ssh file transfer protocol, tableau software, telehealth, thecube, throughput, virtualization, visualization (graphics), web application, wikibon, zettabyte era
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