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Lak Lakshmanan
Head of Data Analytics and AI Solutions at Google Cloud
accuracy and precision, ai, algorithm, android (operating system), apache hive, artificial intelligence, asynchronous i/o, attention, automatic differentiation, automation, big data, bigquery, binary classification, book, business event, business intelligence, cloud bigquery, cloud computing, command-line interface, compiler, compressed sensing, computer, computer data storage, computer programming, computer vision, concept, conference, continuous integration, convolutional neural network, coursera, data loss prevention software, data model, data type, data warehouse, data-flow diagram, database, deep learning, derivative, directory (computing), emerging tech, entrepreneur conference, entry point, explainable artificial intelligence, extract, transform, load, f1 score, facebook, feature engineering, feature engineering in bigquery, feature engineering in tensorflow 2.0, generative model, geographic information system, github, google, google brain, google developers, google knowledge graph, hash function, inverse problem, java (programming language), json, keras, kirkland ml summit, kubernetes , lak lakshmanan, law, learning, machine learning, machine learning developments, machine learning news, machine learning recent developments, machine learning summit, mapreduce, mean squared error, metadata, ml, ml conference, ml summit, motion planning, natural language processing, optical character recognition, optics, pdf, pipeline (computing), prediction, privacy, programmer, project jupyter, raw data, reality, receipt, regression analysis, regularization (mathematics), reinforcement learning, research, robotics, serverless computing, softmax function, software , software development, statistical classification, statistics, system, tensorflow, tensorflow 2.0, tensorflow keras, training, validation, and test sets, using ai, web hosting service, what’s going on in machine learning, world wide web
Anu Srivastava
Senior Applied AI Engineer at Google
ai, android (operating system), asynchronous i/o, attention, business event, business intelligence, cloud computing, computer data storage, computer programming, conference, data loss prevention software, data model, database, deep learning, emerging tech, entrepreneur conference, explainable artificial intelligence, google knowledge graph, json, machine learning, ml, optical character recognition, optics, pdf, programmer, project jupyter, receipt, research, web hosting service, world wide web
Justin Bowen
CTO Consultant at Silicon Valley Software Group
amazon s3, angle of view, botrytis cinerea, cloud computing, computer vision, deep learning, hypertext transfer protocol, image editing, image segmentation, machine learning, mathematics, mobile app, optical character recognition, queueing theory, redis, self-driving car, server (computing), super-resolution imaging, traffic light, training, validation, and test sets, upload, webrtc, website, websocket, world wide web
Waqas Mirza
CEO at Avanza Innovations
application software, bank, blockchain, blockchain explained, blockchain for business, blockchain technology, blockchain training, blockchain tutorial, blockchain tutorial for beginners, car, central bank, commodity, contributing to open source, decentralization, economics, economy, finance, hyperledger, hyperledger blockchain, hyperledger fabric, hyperledger in blockchain, hyperledger projects, introduction to hyperledger, ipod, learning, linux, logistics, machine learning, marco polo, onboarding, open source, open source software, optical character recognition, privacy, regulatory compliance, reputation, risk, startup company, trade finance, united states postal service, what is blockchain, what is hyperledger, what is open source
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
Lawrence Muthoga
Open Source Lead - Middle East and Africa at Microsoft
adir ron, api, application software, build, c1x9, cloud computing, comma-separated values, communication, con019, connection zone, daron yondem, data science, database, google, lawrence muthoga, microsoft, microsoft azure, microsoft build, microsoft build 2021, microsoft developer, mobile app, msft build, msft build 2021, online shopping, optical character recognition, other areas, personal data, prediction, rapid innovation framework in middle east & africa: demo extravaganza | con019, real-time computing, research, samuel adranyi, sms, telephone, telephony, text messaging, vered segal, videotelephony, web portal, world wide web
Vered Flis
Strategic Technical Account Mng at DoiT
adir ron, api, application software, build, c1x9, cloud computing, comma-separated values, communication, con019, connection zone, daron yondem, data science, database, google, lawrence muthoga, microsoft, microsoft azure, microsoft build, microsoft build 2021, microsoft developer, mobile app, msft build, msft build 2021, online shopping, optical character recognition, other areas, personal data, prediction, rapid innovation framework in middle east & africa: demo extravaganza | con019, real-time computing, research, samuel adranyi, sms, telephone, telephony, text messaging, vered segal, videotelephony, web portal, world wide web
Adir Ron
Cloud Application & Innovation Lead for Middle East and Africa at Microsoft
adir ron, api, application software, build, c1x9, cloud computing, comma-separated values, communication, con019, connection zone, daron yondem, data science, database, google, lawrence muthoga, microsoft, microsoft azure, microsoft build, microsoft build 2021, microsoft developer, mobile app, msft build, msft build 2021, online shopping, optical character recognition, other areas, personal data, prediction, rapid innovation framework in middle east & africa: demo extravaganza | con019, real-time computing, research, samuel adranyi, sms, telephone, telephony, text messaging, vered segal, videotelephony, web portal, world wide web
Daron Yondem
Azure Application Development Lead for Middle East and Africa at Microsoft
adir ron, api, application software, bit, breakpoint, build, c sharp (programming language), c1x9, cloud computing, comma-separated values, communication, con019, conditional (computer programming), connection zone, daron yondem, data science, database, experience, god, google, json, language, lawrence muthoga, microsoft, microsoft azure, microsoft build, microsoft build 2021, microsoft developer, mind, mobile app, msft build, msft build 2021, nothing, online shopping, optical character recognition, orchestra, orchestration, other areas, parameter, parameter (computer programming), perimeter, personal data, pie, prediction, rapid innovation framework in middle east & africa: demo extravaganza | con019, real-time computing, research, river, samuel adranyi, serverless computing, sms, speed limit enforcement, sql, telephone, telephony, template (c++), text messaging, tree, twitter, vered segal, videotelephony, web portal, world wide web
James Chen
CTO at Flexport
accuracy and precision, analytics, api, automation, bit, cogx2021, document automation, force, human, interface (computing), internet, jointheconversation, machine learning, map, mathematical optimization, netflix, optical character recognition, policy, property, sampling (statistics), self-driving car, software , supply chain, system, time, warehouse
Melisa Tokmak
GM at Scale AI, Stanford CS
accuracy and precision, analytics, api, automation, bit, cogx2021, document automation, force, human, interface (computing), internet, jointheconversation, machine learning, map, mathematical optimization, netflix, optical character recognition, policy, property, sampling (statistics), self-driving car, software , supply chain, system, time, warehouse
Robert Herbig
Lead Software Engineer & AI Practice Lead at SEP
accuracy and precision, ai, amazon mechanical turk, best practice, big data, cloud, cloud architechure, complexity, computer file, decision tree learning, f-score, gmail, hyperparameter (machine learning), intelligence, machine learning, memory, ml, narrative, optical character recognition, overfitting, pipeline (computing), precision and recall, prediction, project jupyter, prototype, six feet up, sixfeetup, training, validation, and test sets, version control, virtual, virtual conference, visualization (graphics)
Jordan Thayer
AI Practice Lead at SEP
accuracy and precision, ai, amazon mechanical turk, best practice, big data, cloud, cloud architechure, complexity, computer file, decision tree learning, f-score, gmail, hyperparameter (machine learning), intelligence, machine learning, memory, ml, narrative, optical character recognition, overfitting, pipeline (computing), precision and recall, prediction, project jupyter, prototype, six feet up, sixfeetup, training, validation, and test sets, version control, virtual, virtual conference, visualization (graphics)
Calvin Hendryx-Parker
Chief Technology Officer at Six Feet Up, Inc.
agnosticism, amazon (company), amazon elastic compute cloud, amazon web services, ansible (software), apartment, api, application software, archimedes, asia, asynchronous i/o, automation, autoscaling, aws, azure, big data, bluetooth, board game, boolean data type, booting, broadcasting, business process, camera, clock, closing, closing remarks, cloud, cloud computing, cloud conference, cocktail, command-line interface, common gateway interface, communication protocol, community, computer, computer hardware, computer network, computer program, computer vision, configuration management, content delivery network, conversation, costa rica, covid-19 pandemic, cryptographic hash function, data, data center, database, debugging, denver, deployment environment, devops, diamond, discord (software), django (web framework), download, drink, early access, email, emoji, encryption, environment variable, europe, exercise, experience, feedback, file system, finite-state machine, firefox, folk music, future, gcp, general-purpose input/output, gift card, google, greengrass, hash function, health, home page, http persistent connection, human factors and ergonomics, hypertext transfer protocol, identifier, immutable object, indiana, indianapolis, information, instagram, international system of units, internet, internet of things, iot, iowa, keg, key (cryptography), keynote, kubernetes , latin, latin america, learning, library (computing), live demo, livestreaming, load balancing (computing), load testing, logic, login, machine learning, map, mario kart, matter, metadata, microsoft windows, mqtt, naive bayes spam filtering, netflix, network socket, new relic, node.js, npr, ohio, online chat, opening, opening remarks, optical character recognition, orchestration, over-the-air programming, password, pdf, platinum, pleasure, port (computer networking), postgresql, prediction, prison, project jupyter, provisioning (telecommunications), proxy server, purdue university, push technology, python (programming language), python conference, qr code, race condition, raspberry pi, react (web framework), reality, reason, representational state transfer, research, router (computing), salesforce, salt, saltstack, seattle, selfie, server (computing), serverless computing, signal, siri, six feet up, sixfeetup, social distancing, socialism, socialization, software , software bug, south america, splunk, string (computer science), subroutine, surveillance, switch, system, terminal, thread (computing), time, tractor, twitch (service), ubuntu, united states, unix, upload, url, use case, version control, virtual, virtual conference, visualization (graphics), web application, web browser, web conferencing, web framework, web server gateway interface, web service, websocket, wfyi (tv), white paper, world wide web, youtube, zoom (software)
Kim Nguyen
Vice President of Engineering at Six Feet Up
ac cobra, accuracy and precision, api, aws lambda, cloud computing, computer, computer data storage, computer vision, database, dots per inch, encryption, file system, information retrieval, intranet, java (programming language), machine learning, nosql, optical character recognition, pdf, pixel, plone, plone intranet, python, qr code, scheduling (computing), serverless computing, six feet up, sixfeetup, system, tutorial
Shane Hathaway
Chief Technology Officer at Open Payment Network
ac cobra, accuracy and precision, api, aws lambda, cloud computing, computer, computer data storage, computer vision, database, dots per inch, encryption, file system, information retrieval, java (programming language), machine learning, nosql, optical character recognition, pdf, pixel, qr code, scheduling (computing), serverless computing, six feet up, sixfeetup, system
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
Makena Sandra
AI Research Assistant at DSAIL
activity recognition, behavior, caregiver, computer vision, creativity, disease, future, health, inference, intelligence, learning, machine learning, microsoft, mit computer science and artificial intelligence laboratory, optical character recognition, pain, problem solving, reason, research, science, technology, visual perception, well-being, world health organization
collins emasi
Undergraduate Research Assistant at DSAIL
activity recognition, behavior, caregiver, computer vision, creativity, disease, future, health, inference, intelligence, learning, machine learning, microsoft, mit computer science and artificial intelligence laboratory, optical character recognition, pain, problem solving, reason, research, science, technology, visual perception, well-being, world health organization
Lina Weichbrodt
Machine Learning Lead Engineer at Deutsche Kreditbank AG
argument, computer, computer science, credit, credit card, future, http cookie, idea, inspection, knowledge, learning, machine learning, optical character recognition, reason, recall (memory), risk, sales, science, service-level agreement, software , time, unit testing, youtube
Rasima Swarup
Senior Consultant | BFA Global at BFA Global
ai, ai in mumbai, analytics, api, artificial intelligence, artificialintelligence, automation, bigdata, business, business analytics, chatbot, code, coding, credit score, customer service, customer value proposition, data, datascience, deep learning, deeplearning, economic growth, entrepreneur, facial recognition system, financial technology, fintech, fintechs, future, futureofwork, going global, india, information, innovation, internet, internet of things, iot, know your customer, machine learning, machinelearning, mind, ml, mobile app, mumbai, mumbai ai, optical character recognition, platform as a service, programmer, programming, python, recommender system, representational state transfer, research and development, retail, robotics, science, startup, startup company, startups, supply chain, tech, tech enthusiast, technology, use case, value proposition, venture capital, web application, womenintech, world wide web
Matt Grasser
ДолжностьPortfolio Engagement Manager | Catalyst Fund Inclusive Digital Commerce Accelerator at BFA Global
ai, ai in mumbai, analytics, api, artificial intelligence, artificialintelligence, automation, bigdata, business, business analytics, chatbot, code, coding, credit score, customer service, customer value proposition, data, datascience, deep learning, deeplearning, economic growth, entrepreneur, facial recognition system, financial technology, fintech, fintechs, future, futureofwork, going global, india, information, innovation, internet, internet of things, iot, know your customer, machine learning, machinelearning, mind, ml, mobile app, mumbai, mumbai ai, optical character recognition, platform as a service, programmer, programming, python, recommender system, representational state transfer, research and development, retail, robotics, science, startup, startup company, startups, supply chain, tech, tech enthusiast, technology, use case, value proposition, venture capital, web application, womenintech, world wide web
Kalev Leetaru
Founder at GDELT Project
abc news, anthony fauci, api, arabic, cbs, chyron corporation, closed captioning, cloud computing, covid-19, facial recognition system, fox news, internet geolocation, msnbc, nbc, news broadcasting, news media, optical character recognition, part of speech, personal protective equipment, real-time computing, speech recognition, television, twitter, world wide web
Chris Karageuzian
CEO & Co-Founder at Helpwithmyloan.com
application software, automation, bank, commercial property, customer, dashboard (business), directory (computing), email, finance, financial, financial statement, financial technology, findevr, finovate, fintech, information, insurance, lead generation, loan, loan officer, optical character recognition, property, revenue, sales, tax, tax return, turnaround time, underwriting, unsecured debt
Art Harrison
Co-Founder, Chief Growth Officer at FormHero
attention, authentication, automation, budget, business, business case, business process, computer, covid-19 pandemic, creep (deformation), customer, data, fax, financial, financial technology, findevr, finovate, fintech, heat, innovation, logic, optical character recognition, organization, pdf, personal digital assistant, pharmacist, pharmacy, question, sms, telephone, use case
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
Di Wen
Staff Software Engineer 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, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, 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), 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 science tutorial, 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 , 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, likelihood function, linear combination, linearity, linkedin, literature, 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, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, 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 , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), 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
Yijie Dylan Wang
Software Engineering Manager 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, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, 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, closed captioning, code-division multiple access, codec, coherence (physics), compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, data, data compression, data science tutorial, 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, film frame, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, likelihood function, linearity, linkedin, literature, 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, multimodality, 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, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, 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, sms, social networking service, softmax function, space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), 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 search, video search engine, video understanding, weight, youtube
Bharat Jain
Data Scientist 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, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, 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), 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 science tutorial, 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 , 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, likelihood function, linear combination, linearity, linkedin, literature, 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, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, 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 , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), 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
Nikita Gupta
Senior Applied Research Engineer 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, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, 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), 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 science tutorial, 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 , 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, likelihood function, linear combination, linearity, linkedin, literature, 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, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, 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 , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), 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
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