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Prince Kher
Vice President at ING
analytics, apache spark, backup, big data, bit, cloud computing, computer file, computer network, data compression, database, disk partitioning, email, experience, internet protocol, json, machine learning, microsoft azure, microsoft sql server, midi, password, playstation 4, sql, stored procedure, understanding, workspace
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
Gokul Prabagaren
Master Software Engineer at Capital One
apache, apache cassandra, apache spark, application software, art, beer, big data, business, business logic, business rule, capital one, cash, cloud, cloud computing, coinbase, competition, computer, computing, concept, credit card, culture, customer experience, data, data model, database, database schema, database transaction, databricks, debugging, dvd, energy, engineering, facebook, feeling, filling station, finance, information, innovation, java (programming language), language, laptop, level of detail (computer graphics), linkedin, logic, machine learning, memory, money, mongodb, nasa, news, nosql, online and offline, open-source software, parenting, pipeline (computing), poverty, primary key, real-time computing, reason, scuba diving, siri, six feet up, sixfeetup, social norm, software , software development, software framework, soviet union, starbucks, table (database), technology, the avengers (2012 film), time, transaction account, twitter, use case, video, virtual, virtual conference, vulnerability (computing), water, workflow, world wide web, wright brothers
Anais Dotis-Georgiou
Developer Advocate at InfluxData
apache spark, array data structure, command-line interface, database, errors and residuals, exponential smoothing, forecasting, heuristic, internet of things, knowledge, machine learning, overfitting, parameter (computer programming), prediction, python (programming language), relational database, science, seasonality, six feet up, sixfeetup, software testing, source code, statistics, table (database), tensorflow, time complexity, time series
Prashant Sharma
System Software Engineer at IBM
advanced encryption standard, apache spark, big data, business, cloud computing, computer data storage, computer network, computer security, computing, data at rest, encryption, general data protection regulation, github, key (cryptography), key management, key size, kubernetes , library (computing), object storage, open-source software, operating system, regulatory compliance, software , tensorflow, transport layer security
Nolan Grace
Engineering Manager at M1 Finance
amazon web services, apache flink, apache kafka, apache spark, autoscaling, business logic, central processing unit, cloud computing, cluster analysis, computer programming, credit card, database, java (programming language), java database connectivity, kubernetes , message passing, microservices, open-source software, provisioning (telecommunications), representational state transfer, scala (programming language), server (computing), shard (database architecture), streaming data, streaming media
Matei Zaharia
Co-founder and Chief Technologist at Databricks
#apachespark, #sparkaisummit, abstraction (computer science), access control, adolescence, ai, algorithm, amazon (company), amazon elastic compute cloud, amazon web services, analytics, apache hadoop, apache hive, apache http server, apache spark, api, application programming interface, application software, artificial intelligence, artificial neural network, attribute-based access control, authorization, automation, autoscaling, batch processing, big data, business intelligence, business model, business process, central processing unit, cloud computing, cloud storage, coinbase, communication protocol, compiler, component-based software engineering, computer, computer cluster, computer data storage, computer file, computer hardware, computer mouse, computer network, computer programming, computer science, computer vision, conflict resolution, convolutional neural network, cross-functional team, data engineering, data lake, data model, data science, data sharing, data warehouse, database, databricks, deep learning, deployment environment, design, doctor of philosophy, education, end user, engineering, errors and residuals, expert, facebook, file format, file system, file-system permissions, function (mathematics), functional programming, google calendar, governance challenges, individual organizations, infoq, information, intelligence, internet of things, kubernetes , learning, library (computing), life-cycle assessment, linear regression, linkedin, linux foundation, luck, machine learning, matei zaharia, matroid, mean squared error, metadata, microsoft, microsoft azure, microsoft excel, mind, ml (programming language), ml conference, multitenancy, nosql, object (computer science), online shopping, open standard, open-source software, open-source-software movement, oracle corporation, patch (computing), paypal, pipeline (computing), point-to-point (telecommunications), price, product lifecycle, prototype, python (programming language), qcon, qcon.ai, real-time computing, reason, regression analysis, regularization (mathematics), regulatory compliance, representational state transfer, research, risk management, routing, rust (programming language), scalability, scaledml, scaledml2020, science, science, technology, engineering, and mathematics, scope (computer science), self-driving car, server (computing), smart tv, snapchat, software , software development, software development process, software framework, source code, specification (technical standard), sql, stack (abstract data type), standard ml, stitchfix, streaming media, subroutine, system, table (database), technical conference, tensorflow, the infoq podcast, thought, thread (computing), training, transmission control protocol, transport layer security, use case, user interface design, variance, version control, video content analysis, weather, web application, web browser, web framework, world wide web
Jean-Yves Stephan
CEO and Co-Founder at Data Mechanics
apache http server, apache spark, api, application software, attention, benchmark (computing), big data, bit, cache (computing), central processing unit, cloud computing, computer, computer data storage, cross-platform software, data mechanics, databricks, design, diesel engine, digital marketing, disk storage, docker (software), engineering, file system, gateway (telecommunications), https, instruction pipelining, integrated development environment, kubernetes , linkedin, machine learning, measurement, memory, memory management, metadata, microsoft azure, mobile app, music, operating system, parallel computing, performance tuning, persistence (computer science), privacy, project jupyter, python (programming language), refrigeration, scheduling (computing), server (computing), software , solid-state drive, spotify, streaming media, time, turbocharger, twitter, user (computing), user interface, von neumann architecture, world wide web
Viktor Gamov
Developer Advocate at Confluent
ai, apache kafka, apache spark, api, batch processing, big data technology engineering software engineering software development, collation, communication protocol, computer file, computer programming, computer vision, computing, control flow, data center, database, distributed computing, existence, feeling, google chrome, groundbreakers, hashtag, immutable object, interface (computing), internet protocol, java (programming language), kubernetes , load balancing (computing), machine learning, microservices, mobile device, nothing, oracle cloud, oracle developers, pipeline (computing), programmer, programming language, reason, scala (programming language), scalability, server (computing), service-level agreement, siri, software framework, source lines of code, sql, stream processing, theory, thread (computing), troubleshooting, web application, world wide web
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
Jeff Reed
Google Cloud Vice President, Product Management at Google Cloud
analytics, apache spark, central processing unit, cloud computing, database, encryption, google, google chrome, google cloud, health, kernel (operating system), kubernetes , laptop, load balancing (computing), optical character recognition, publish–subscribe pattern, random-access memory, redis, scalability, serverless computing, speech recognition, sql, streaming media, web browser, youtube
Raghav Rawat
IISC at Ex-Research Intern
accuracy and precision, apache hadoop, apache spark, api, big data, computer vision, data science, databricks, deep learning, distributed computing, experience, knowledge, laptop, machine learning, metropolitan museum of art, microservices, microsoft, microsoft azure, mind, museum, sentiment analysis, speech recognition
Ben Wilson
Practice Lead at Databricks
accuracy and precision, analysis of variance, analytics, apache hadoop, apache spark, binary classification, cluster analysis, code refactoring, correlation and dependence, covariance, data science, databricks, decision tree learning, deep learning, devops, distributed computing, euclidean vector, experiment, feature (machine learning), floating-point arithmetic, genetic algorithm, google search, hyperparameter (machine learning), k-nearest neighbors algorithm, kullback–leibler divergence, machine learning, multiclass classification, parameter, prediction, random forest, randomness, regression analysis, sampling (statistics), scientific method, scrum (software development), social stratification, software , statistical classification, statistics, stratified sampling, subject-matter expert, time series, understanding, unit testing, use case, visualization (graphics)
Liang Zhang
Global Sales Strategy & Operations at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, apache spark, api, application software, applications at linkedin, array data structure, array data type, art, artificial intelligence tutorial, artificial neural network, assembly language, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), color, common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data conversion, data science tutorial, data type, debugging, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , file system, film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, library (computing), likelihood function, linear combination, linearity, linkedin, literature, loader (computing), logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parameter (computer programming), parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, preprocessor, protein–protein interaction, python (programming language), radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , source lines of code, space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, string (computer science), subroutine, summation, supervised learning, support-vector machine, temporal topic localization, tensor, texas, three-dimensional space, training, validation, and test sets, transcription (linguistics), transformer (machine learning model), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Terry Kim
Principal Software Engineer at Microsoft
analytics, apache spark, api, binary search algorithm, bit, color, computer file, customer, data structure, database, databricks, dell, dimension, dimension (data warehouse), explanation, fact table, file format, file system, gigabyte, github, hash table, hyperspace, information, infrastructure, language, laptop, leverage (finance), log file, megabyte, metadata, microsoft, mp3, prediction, privacy, query plan, scala (programming language), serverless computing, snapchat, snapshot (computer storage), spectre (security vulnerability), spotify, tablet computer, technology, textbook, time travel, tradition, xbox
Rahul Potharaju
Principal Engineering Manager at Microsoft
analytics, apache spark, api, binary search algorithm, bit, color, computer file, customer, data structure, database, databricks, dell, dimension, dimension (data warehouse), explanation, fact table, file format, file system, gigabyte, github, hash table, hyperspace, information, infrastructure, language, laptop, leverage (finance), log file, megabyte, metadata, microsoft, mp3, prediction, privacy, query plan, scala (programming language), serverless computing, snapchat, snapshot (computer storage), spectre (security vulnerability), spotify, tablet computer, technology, textbook, time travel, tradition, xbox
Jack Ploshnick
Customer Data Scientist at Splice Machine
analytics, apache spark, api, batch processing, cloud computing, computer file, computer hardware, data, data warehouse, database, database index, database trigger, insert (sql), java database connectivity, join (sql), latency (engineering), lookup table, machine learning, mobile app, open database connectivity, real-time computing, scalability, single source of truth, sql, time series, use case
Monte Zweben
CEO at Splice Machine
analytics, apache spark, api, batch processing, cloud computing, computer file, computer hardware, data, data warehouse, database, database index, database trigger, insert (sql), java database connectivity, join (sql), latency (engineering), lookup table, machine learning, mobile app, open database connectivity, real-time computing, scalability, single source of truth, sql, time series, use case
Felix Cheung
PMC/Committer at Uber
advertising, analytics, apache hadoop, apache spark, business intelligence, cloud computing, competitive intelligence, complexity, consumer behaviour, cross-functional team, data analysis, data warehouse, database, distributed computing, experiment, extract, transform, load, eye, function (mathematics), future, general data protection regulation, geographic information system, geometry, global positioning system, graphics processing unit, image resolution, innovation, intelligence analysis, life-cycle assessment, machine learning, ml, prediction, privacy, prototype, qgis, recommender system, research, sampling (statistics), self-driving car, software , space, spatial analysis, sql, technology, tensorflow, time series, uber, use case, visualization (graphics)
Takuya Ueshin
Software Engineer at Databricks
algorithm, analytics, apache spark, api, big data, brute-force search, chris brown, colonoscopy, computer, computing, coronavirus, data, database, databricks, email, engineer, extraversion and introversion, facebook, hotspot (wi-fi), immutable object, java (programming language), library, map, metadata, metre, numpy, paint, parallel computing, parameter, patch (computing), pharmacy, problem solving, program optimization, punk rock, python (programming language), random-access memory, reggae, relational database, scheduling (computing), software , spotify, stack (abstract data type), streaming media, tab (interface), united states congress
Xinrong Meng
Software Engineer at Databricks
algorithm, analytics, apache spark, api, big data, brute-force search, computing, data, database, engineer, extraversion and introversion, hotspot (wi-fi), immutable object, java (programming language), library, metadata, numpy, parallel computing, problem solving, program optimization, python (programming language), relational database, scheduling (computing), software , stack (abstract data type), streaming media
Anand Ranganathan
Chief AI Officer at Unscrambl, Inc
ai, amazon (company), analytics, analytics platform, anxiety, apache spark, bias, blockchain, cash, causality, competition, concept, consciousness, conversation, coronavirus disease 2019, correlation and dependence, correlation does not imply causation, covid-19 pandemic, customer, dashboard (business), data, data analysis, data center, data science, data scientist, database, demography, dialog management, facebook, golf, information retrieval, instagram, jersey, language, lisa ling, machine, machine learning, memory, microsoft, new jersey, nlp, nothing, personal data, political corruption, prescriptive analytics, programming language, question, raw data, reason, research, risk, select (sql), semantic gap, singing, slack (software), slang, social media, software as a service, software bug, solution, sql, statistical hypothesis testing, statistics, supply chain, system, time for business, timer, understanding, vibration, whatsapp, wisconsin, youtube, zoom (software)
Andy Dang
Co-founder at WhyLabs
algorithm, analysis, apache hadoop, apache spark, api, big data, cloud computing, computer data storage, data quality, devops, internet, internet access, machine learning, median, metadata, ml, online and offline, pipeline (computing), privacy, python (programming language), regulatory compliance, sampling (statistics), solid-state drive, statistics, stochastic, telemetry
Dan Corbiani
Operations Researcher and Data Scientist at Pacific Northwest National Lab
analytics, apache spark, computer file, database, database schema, databricks, extract, transform, load, file format, flat-file database, geodetic datum, geographic information system, hash function, json, library (computing), los alamos national laboratory, mathematics, metadata, microsoft sql server, openstreetmap, project jupyter, python (programming language), shapefile, spatial analysis, spatial database, unit testing, use case, vector graphics
Daniel Galvez
Senior AI Developer Technology Engineer at NVIDIA
academic publishing, apache spark, artificial neural network, bit, central processing unit, cloud computing, computer data storage, copyright, copyright law of the united states, creative commons, file system, garbage collection (computer science), graphics processing unit, internet, java (programming language), java virtual machine, machine learning, memory paging, password, public domain, research, science, siri, software , speech recognition, user-defined function
Julien Dumazert
CTO and Co-Founder at Data Mechanics
apache spark, api, application software, attention, bit, cache (computing), central processing unit, cloud computing, computer, computer data storage, data mechanics, databricks, design, diesel engine, digital marketing, disk storage, docker (software), file system, gateway (telecommunications), https, instruction pipelining, integrated development environment, kubernetes , measurement, memory, memory management, metadata, microsoft azure, mobile app, music, parallel computing, performance tuning, privacy, project jupyter, python (programming language), refrigeration, scheduling (computing), server (computing), software , spotify, streaming media, time, turbocharger, von neumann architecture, world wide web
Maxim Gekk
Software Engineer at Databricks
apache spark, association football, behavior, bit, calendar, car, clock, corporation, definition, information, java (programming language), music, option (finance), pain, prison, reason, springfield (the simpsons), sql, stencil, surgery, table saw, time, time zone, type system, wall, wii
Viswesh Periyasamy
Software Engineer at Databricks
apache spark, brute-force search, central processing unit, cluster analysis, clustered file system, computational complexity theory, computational phylogenetics, computer network, cross-validation (statistics), data-intensive computing, databricks, deep learning, expert, hyperparameter optimization, instruction pipelining, k-means clustering, library (computing), loss function, machine learning, mathematical optimization, parallel computing, principal component analysis, program optimization, random forest, source code, subroutine
Ron Hu
Principal Big Data Architect at Huawei Technologies
apache spark, api, coffee, computer, computer hardware, computing, data, dvd, engine, food, food industry, foreign key, geometric mean, hamlet, histogram, horse, hotel, hydrogen, hyperloglog, hypothesis, information, job performance, mathematical optimization, mean, memory, motion, motivation, network packet, number, parameter, percentage, percentile, query optimization, rain, ratio, return on investment, select (sql), sim card, speculation, spotify, sql, standard deviation, star, statistics, uniform distribution (continuous), unique key
Venkata Krishnan Sowrirajan
Senior Software Engineer at LinkedIn
apache spark, coffee, computer, computer hardware, engine, food, food industry, geometric mean, hamlet, horse, hydrogen, job performance, mean, memory, motivation, number, parameter, percentage, rain, ratio, return on investment, speculation, spotify, standard deviation, star, statistics
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