Events Add an event Speakers Talks Collections Sign out
 

Conference Speakers

Sort by
Newest
Trending
361-390 of 30243
Filter
Hugh Hind
President | Co-founder at Quadrical.ai
ai, ai in mumbai, artificial intelligence, artificialintelligence, automation, bigdata, business, code, coding, data, datascience, deeplearning, entrepreneur, fintech, fintechs, future, futureofwork, going global, india, innovation, iot, machinelearning, ml, mumbai, mumbai ai, programmer, programming, python, robotics, science, startup, startups, tech, tech enthusiast, technology, womenintech
Yanai Elazar
Research Intern at Allen Institute for Artificial Intelligence (AI2)
Aviv Yehezkel
Co-Founder & CTO at Cynamics
Ganesh Natarajan
Chairman at 5F World Pvt Ltd.
ai, ai in mumbai, apple inc., artificial intelligence, artificialintelligence, automation, big data, bigdata, business, code, coding, computer security, cyberspace, data, data breach, datascience, deeplearning, digital twin, entrepreneur, facebook, fintech, fintechs, fourth industrial revolution, future, futureofwork, going global, identity document, india, innovation, internet of things, iot, law, machinelearning, mechanization, ml, mumbai, mumbai ai, password, privacy, programmer, programming, python, rights, robot, robotics, salesforce, science, smart manufacturing, startup, startups, tech, tech enthusiast, technology, telecommuting, thought, travel document, womenintech
Andy Dang
Co-founder at WhyLabs
ml
Julien Le Dem
Principal Engineer at WeWork
64-bit computing, apache arrow, apache hadoop, apache hive, apache parquet, big data, big data ecosystem, bit, branch predictor, cache (computing), call stack, central processing unit, code, computer data storage, conceptual model, data compression, data foundation, data integrity, data type, database, database index, dynamic programming, evolution of big data, evolution of big data ecosystem, future of big data, future of big data ecosystem, image scanner, immutable object, in-memory database, instruction pipelining, instruction set architecture, java (programming language), julien le dem, library (computing), machine learning, mapreduce, michael stonebraker, null (sql), parsing, pic microcontrollers, pointer (computer programming), random-access memory, referential integrity, relational database, relational model, replication (computing), select (sql), simd, snapchat, sql, stack (abstract data type), stream processing, streaming media, string (computer science), time complexity, use case
Nick Chmura
Director of Data Engineering at Veraset
data-as-a-service ecosystem
Vinoo Ganesh
Chief Technology Officer at Veraset
analytics, apache avro, apache hadoop, apache hive, big data, binary file, bit, cloudera, comma-separated values, computer data storage, computer file, data exchange, data model, data-as-a-service ecosystem, databricks, disk storage, file format, hard disk drive, json, memory, metadata, online analytical processing, online transaction processing, patch (computing), serialization, twitter, unstructured data
Kamila Hankiewicz
Managing Director at Untrite
algorithm, arrest, attention, bias, child, computer performance, computer vision, crime prevention, decision-making, echo chamber (media), ethics, health, health care, hospital, idea, internet, medical record, mind, patient, risk, sentiment analysis, violence, web scraping, wisdom of the crowd
Ajay Ramasubramaniam
Founder & CEO at Startup Réseau
ai, ai in mumbai, artificial intelligence, artificialintelligence, automation, bigdata, business, code, coding, data, datascience, deeplearning, entrepreneur, fintech, fintechs, future, futureofwork, going global, india, innovation, iot, machinelearning, ml, mumbai, mumbai ai, programmer, programming, python, robotics, science, startup, startups, tech, tech enthusiast, technology, womenintech
Brandon Davis
Machine Learning Engineer at Mindbody
machine learning
Artur Burgardt
Managing Partner at CORE SE
Genna Gliner
ML engineer at Mindbody
machine learning
Gary Shiffman
CEO and Chair of the Board at Giant Oak, Inc.
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
Jorg Schad
Head Of Engineering and Machine Learning at ArangoDB
machine learning
Hien Luu
Engineering Leader at LinkedIn
abstraction, algorithm, application programming interface, array data structure, artificial intelligence, classification, clustering, collaborative filtering, concept, deep learning, estimator, feature engineering, feature extraction, function (mathematics), hash function, hash table, infoq, learning, lexical analysis, logistic regression, machine learning, machine learning platform, ml, parameter, qcon, qcon.ai, regression, regression analysis, science, spark, spark mllib, statistical classification, statistics, time, workflow, youtube
Arbaz Khan
Software Engineer at DoorDash
machine learning platform, ml
Joseph Bradley
Software Engineer at Databricks
algorithm, analytics, apache spark, array data structure, best practice, big data, cloud computing, computing, cross-validation (statistics), curse of dimensionality, databricks, distributed computing, experiment, expert, extract, transform, load, hyperparameter (machine learning), instruction pipelining, internet bot, learning, learning rate, locality-sensitive hashing, login, machine learning, metadata, overfitting, parallel computing, prediction, predictive modelling, principal component analysis, programmer, reason, regularization (mathematics), scalability, science, sentiment analysis, software , statistics, stochastic, streaming media, string (computer science), tensorflow, use case, web application, world wide web
Chris Robison
Lead Data Scientist at Overstock.com
advertising, amazon web services, analytics, apache hadoop, apache spark, cloud computing, cost–benefit analysis, data analysis, data science, data warehouse, database, deep learning, education, enterprise software, extract, transform, load, http cookie, information retrieval, innovation, inventory, machine learning, oracle corporation, oversampling, personalization, real-time bidding, real-time computing, relational database, retail, self-service, sense, server (computing), software , spreadsheet, sql, stock, streaming data, streaming media, technology, teradata, time, world wide web
Shreya Shankar
PhD Student at Berkeley Center
machine learning
Daniel Galvez
Senior AI Developer Technology Engineer at NVIDIA
apache spark
Jean-Yves Stephan
CEO and Co-Founder at Data Mechanics
api, application software, bit, cache (computing), central processing unit, cloud computing, computer, computer data storage, data mechanics, databricks, diesel engine, disk storage, docker (software), file system, gateway (telecommunications), integrated development environment, kubernetes , memory, memory management, parallel computing, privacy, python (programming language), refrigeration, scheduling (computing), server (computing), software , turbocharger
Julien Dumazert
CTO and Co-Founder at Data Mechanics
api, application software, bit, cache (computing), central processing unit, cloud computing, computer, computer data storage, data mechanics, databricks, diesel engine, disk storage, docker (software), file system, gateway (telecommunications), integrated development environment, kubernetes , memory, memory management, parallel computing, privacy, python (programming language), refrigeration, scheduling (computing), server (computing), software , turbocharger
Asif Shahid
Software Engineer at Workday
catalyst, spark
Holden Karau
Software Engineer at IBM
abstraction, algorithm, apache arrow, apache hadoop, apache http server, apache maven, apache spark, api, application software, applied mathematics, array data type, big data, central processing unit, closure (computer programming), cloud computing, computer file, computer programming, conceptual model, confusion matrix, credibility, cuda, data, data science, data type, databricks, dataworks summit barcelona, deep learning, directed acyclic graph, distributed computing, distributed version control, dws19, electoral fraud, emacs, file format, function (mathematics), functional programming, funeral, graph theory, graphics processing unit, hardware acceleration, holden karau, immutable object, infantry, inheritance (object-oriented programming), instruction pipelining, intelligence, internet, java (programming language), java bytecode, java virtual machine, json, knowledge, kubeflow, kubernetes , laptop, learning, lexical analysis, library (computing), machine learning, mapreduce, markdown, mathematics, metadata, monad (functional programming), musket, nvidia, open-source software, parameter, parameter (computer programming), prediction, primary election, program optimization, python (programming language), question, reason, reinventing the wheel, research, rifle, rifleman, scala (programming language), science, serialization, siri, software , software bug, software release life cycle, source code, spark 3.1 , sql, statistics, subroutine, tensorflow, test automation, thumb signal, triage, truth, twitter, unit testing, voting, xml
Maxim Gekk
Software Engineer at Databricks
apache spark
Brett Koonce
CTO, Co-Founder at Quarkworks
ai ml summit, ai ml summit pittsburgh, alphago, alphazero, artificial neural network, backpropagation, calculator, chain rule, chris lattner, cloud computing, compiler, computer, computer data storage, computer hardware, computer programming, computer vision, convolutional neural network, data type, deep learning, function (mathematics), functional programming, google, google developers, google machine learning summit 2019, google ml summit 2019, image segmentation, imagenet, intermediate representation, kirkland ml summit, language model, llvm, machine learning, machine learning developments, machine learning news, machine learning recent developments, machine learning summit, mathematical optimization, ml, ml conference, ml summit, ml summit 19, ml summit 2019, neural network, object detection, perceptron, pittsburgh ml summit 19, pittsburgh ml summit 2019, pittsburgh ml summit ‘19, programming language, protein domain, reinforcement learning, rgb color model, software , swift (programming language), tensorflow, visual perception, what’s going on in machine learning
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 ... 1009