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Jian Zhang
Senior Software Engineering Manager at Intel
amazon (company), apache hadoop, architecture, big data, car, cloud computing, comcast, communication protocol, computer, computer data storage, computer hardware, computer network, computing, data center, databricks, dien, directv, dlrm, elephant, end user, engineering, file system, fraction, gas, hard disk drive, infrastructure, intel, internet protocol suite, lease, library, machine learning, machine learning platform, machine learning tools, memory, ml, mobile app, modem, motivation, music, portable media player, property, proxy server, random-access memory, recommendation systems, recommender system, recsys, scalability, server (computing), ship model, software , stack (abstract data type), technology, tomato, transmission control protocol, usb, user profile
Evelyn Ding
Senior Machine Learning Engineer at Habana Labs
algorithm, api, box plot, cloud computing, control flow, deep learning, electric battery, flowchart, fox broadcasting company, hpo, hyperparameter (machine learning), hyperparameter optimization, implementation, interface (computing), loss function, machine learning, machine learning platform, machine learning tools, mathematical optimization, ml, mlperf, number, patch (computing), reason, recommendation systems, research, software , twitter, workload
Basem Barakat
Large Scale Machine Learning Engineer at Habana Labs
algorithm, api, box plot, cloud computing, control flow, deep learning, electric battery, flowchart, fox broadcasting company, hpo, hyperparameter (machine learning), hyperparameter optimization, implementation, interface (computing), loss function, machine learning, machine learning platform, machine learning tools, mathematical optimization, ml, mlperf, number, patch (computing), reason, recommendation systems, research, software , twitter, workload
David Austin
Sr Principal Engineer at Intel
accuracy and precision, attention, brute-force search, convolutional neural network, data science, equinor, experiment, first-order logic, hyperparameter (machine learning), hyperparameter optimization, image classification, image classifier, imagenet, insight, kaggle, kaggle grandmaster, learning rate, machine learning, machine learning platform, machine learning tools, mathematical optimization, memory, ml, outlier, overfitting, parameter, pixel, program optimization, satellite, source lines of code, visualization (graphics), workflow
Alexander Johansen
PhD candidate in Computer Science at Stanford University
activity tracker, computer science, computer vision, database, deep learning, fitbit, gene, gene expression, genetics, health ai, health data, health ml, intelligence, language, language model, machine learning, machine learning platform, machine learning tools, ml, natural language processing, neural network, phenotype, privacy, proteomics, recurrent neural network, science, semantics, time complexity, world wide web
Ke Ding
Principal AI Engineer Intel at SATG MLP – Applied ML team
amazon (company), bottleneck (production), byte, cartesian coordinate system, computer, dlrm, engine, exercise, exhaust system, facebook, gender, gigabyte, huawei, information, intel, international system of units, library, loader (computing), machine learning, machine learning platform, machine learning tools, mathematical optimization, ml, mlperf, overhead (computing), recommendation systems, recommender system, recsys, scalability, simulation, smartphone, technology
Marat Latypov
Assistant Professor of Materials Science and Engineering at University of Arizona
algorithm, belief, computer simulation, curriculum, design of experiments, doctor of philosophy, education, experiment design, expert, factorial experiment, feeling, genetic algorithm, intelligent experimentation, knowledge, machine learning, machine learning platform, machine learning tools, ml, ml experimentation, prediction, reason, reliability engineering, research, sampling (statistics), simulation, six sigma, surrogate model, thought, training, transparency and translucency
Michael McCourt
Head of Engineering at SigOpt
ai, algorithm, belief, benchmarking, best practice, brain, computational science, computer simulation, curriculum, deep learning, design, design of experiments, doctor of philosophy, drink can, education, experiment, experiment design, expert, factorial experiment, feeling, genetic algorithm, hpo, intelligent experimentation, knowledge, language, learning, machine learning, machine learning platform, machine learning tools, ml, ml experimentation, neural network, neuroscience, numerical linear algebra, prediction, protein, proteomics, reality, reason, recommender system, recycling, reliability engineering, research, sampling (statistics), science, simulation, six sigma, sparse matrix, surrogate model, thought, training, transparency and translucency
Rafael Gomez-Bombarelli
Professor at MIT
algorithm, astronaut training, atom, atomistic simulation, autoencoder, big data, bit, cell (biology), chemical formula, chirality, computer, continuum mechanics, data, deep learning, energy, entropy, experiment, formula, geometry, gradient descent, information, isomer, knowledge, learning, machine learning, machine learning platform, machine learning tools, materials design, materials science, memory, message passing, ml, molecule, prediction, protein, prototype, reality, reason, science, simulation, siri, solution, space, stack (abstract data type), statistics, technology, temperature, time, truth, variational autoencoder
Paul Leu
Associate Professor at University of Pittsburgh
algorithm, atmosphere of earth, belief, computer simulation, curriculum, design of experiments, doctor of philosophy, education, experiment design, expert, factorial experiment, feeling, gas, genetic algorithm, glass, hail, intelligent experimentation, iron, knowledge, light, loss function, machine learning, machine learning platform, machine learning tools, manufacturing design, materials science, ml, ml experimentation, precipitation, prediction, rain, reason, reflection (physics), refraction, refractive index, reliability engineering, research, sampling (statistics), self-healing material, semiconductor device fabrication, silicon dioxide, simulation, six sigma, solar cell, spectrum, star, surrogate model, thought, training, transparency and translucency, ultraviolet, water, wave, wavelength
Vishwanath Hegadekatte
Global R&D Manager at Novelis
algorithm, belief, computer simulation, curriculum, design of experiments, doctor of philosophy, education, experiment design, expert, factorial experiment, feeling, genetic algorithm, intelligent experimentation, knowledge, machine learning, machine learning platform, machine learning tools, materials design, ml, ml experimentation, novelis, prediction, reason, reliability engineering, research, sampling (statistics), sheet product design, simulation, six sigma, surrogate model, thought, training, transparency and translucency
Subutai Ahmad
VP Research at Numenta
ai, artificial neural network, brain, central processing unit, computing, convolutional neural network, deep learning, density, efficient energy use, embedded system, graphics processing unit, internet of things, kernel (linear algebra), machine learning, machine learning platform, machine learning tools, mathematical optimization, matrix (mathematics), matrix multiplication, mentorship, ml, numenta, program optimization, research, science, sparse matrix, sparse networks, theory, twitter, vector space, watt
Pablo Zegers
Co-Founder & Vice President of Product at Anastasia AI
forestry, hyperameter optimization, machine learning, machine learning platform, machine learning tools, ml, retail, time series forecasting
Alex Lowden
Data Science Manager & Team Lead at Accenture
accenture, availability, big data, cloud computing, downtime, engine, engineering, forecasting, heavy equipment, information, long short-term memory, machine learning, machine learning platform, machine learning tools, maintenance (technical), ml, normality (behavior), ocean, petroleum reservoir, prediction, predictive maintenance, reliability engineering, rnn, safety, sea, semi-supervised learning, statistics, system, time series, transport, water
Shayan Mortazavi
Data Science Manager at Accenture
accenture, availability, big data, cloud computing, downtime, engine, engineering, forecasting, heavy equipment, information, long short-term memory, machine learning, machine learning platform, machine learning tools, maintenance (technical), ml, normality (behavior), ocean, petroleum reservoir, prediction, predictive maintenance, reliability engineering, rnn, safety, sea, semi-supervised learning, statistics, system, time series, transport, water
Bhanu Prakash
Program Architect at Mindtree
automation, bart simpson, chatbots, customer service, data science, deep learning, engineering, experience, experiment, function (mathematics), grand theft auto v, inference, learning, machine learning, machine learning platform, machine learning tools, matrix (mathematics), metal, metal detector, mindtree, ml, news, paper, reason, science, scientist, technology, the matrix, transformers , water
Sulata Patra
Data Scientist at Mindtree
automation, bart simpson, chatbots, customer service, data science, deep learning, engineering, experience, experiment, function (mathematics), grand theft auto v, inference, learning, machine learning, machine learning platform, machine learning tools, matrix (mathematics), metal, metal detector, mindtree, ml, news, paper, reason, science, scientist, technology, the matrix, transformers , water
Da Zheng
Senior applied scientist at AWS
data science, gnn, graph neural networks, machine learning, machine learning platform, machine learning tools, ml
Venkatesh Ramanathan
Data Scientist at PayPal
airline hub, algorithm, analysis of algorithms, centrality, code, communication protocol, community, conceptual model, data compression, deep learning, feature engineering, feature learning, fee, financial transaction, frankfurt airport, function (mathematics), future, futures contract, gnn, gradient descent, graph neural networks, graphics processing unit, hyperparameter (machine learning), intelligence analysis, machine learning, machine learning platform, machine learning tools, mapreduce, mathematical optimization, memory, ml, network effect, paypal, question, random walk, research, retail loss prevention, sales, spotify, stack (abstract data type), statistics, supervised learning, system, tax, texture mapping, wave, wi-fi
Eddie Mattia
Product Manager at SigOpt
gnn, graph neural networks, machine learning, machine learning platform, machine learning tools, ml
Sasikanth Avancha
Senior Research Scientist at Intel Parallel Compute Labs
gnn, graph neural networks, machine learning, machine learning platform, machine learning tools, ml
Scott Clark
Co-founder and CEO at SigOpt
accuracy and precision, ai, algorithm, alphago, analytics, api, artificial neural network, autism, black box, brute-force search, chatbot, cluster analysis, computer vision, deep learning, engineering, experiment, functional magnetic resonance imaging, gradient descent, hpo, hyperparameter (machine learning), hyperparameter optimization, intelligence, intelligent experimentation, internet bot, learning, machine learning, machine learning platform, machine learning tools, machinelearning, magnetic resonance imaging, mathematical optimization, mathematics, memory, ml, natural language processing, neural network, precision medicine, reinforcement learning, research, scientific method, simulation, slack (software), software framework, space, stochastic gradient descent, tensorflow, web 2.0
Hien Luu
Engineering Leader at LinkedIn
abstraction, algorithm, amazon (company), application programming interface, application software, array data structure, artificial intelligence, classification, clustering, collaborative filtering, computer vision, concept, credit card, cross-functional team, database, deep learning, doordash, estimator, experiment, feature engineering, feature extraction, function (mathematics), grocery store, hash function, hash table, infoq, internet, learning, lexical analysis, load balancing (computing), logistic regression, machine learning, machine learning platform, microservices, ml, money, online and offline, parameter, prediction, program optimization, qcon, qcon.ai, regression, regression analysis, reliability engineering, restaurant, science, spark, spark mllib, statistical classification, statistics, subscription business model, target corporation, time, walmart, water, workflow, youtube
Arbaz Khan
Software Engineer at DoorDash
32-bit computing, amazon (company), application software, attention, backup, binary file, byte, cache (computing), central processing unit, computer data storage, computer vision, credit card, cross-functional team, data compression, database, doordash, experiment, global positioning system, grocery store, hash function, interest, internet, load balancing (computing), machine learning, machine learning platform, mathematical optimization, microservices, ml, money, online and offline, overhead (computing), prediction, program optimization, randomness, reason, reliability engineering, restaurant, scalability, scalable feature store, steam (service), string (computer science), subscription business model, target corporation, time to live, von neumann architecture, walmart, water
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