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Hyperparameter Optimization of MLPerf Training with Habana Labs: SigOpt Summit 2021

11/16/2021
Views 91
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algorithm, api, cloud computing, deep learning, implementation, machine learning, machine learning tools, ml, reason, recommendation systems, research, software , twitter, box plot, control flow, electric battery, flowchart, fox broadcasting company, hyperparameter (machine learning), hyperparameter optimization, interface (computing), loss function, mathematical optimization, number, patch (computing), workload, mlperf, machine learning platform, hpo
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Supercharging a 1st Place Kaggle Solution to Higher Performance with Intel's David Austin

11/16/2021
Views 162
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data science, experiment, image classification, kaggle, machine learning, machine learning tools, memory, ml, pixel, satellite, workflow, accuracy and precision, attention, brute-force search, convolutional neural network, first-order logic, hyperparameter (machine learning), hyperparameter optimization, imagenet, insight, learning rate, mathematical optimization, outlier, overfitting, parameter, program optimization, source lines of code, visualization (graphics), machine learning platform, image classifier, kaggle grandmaster, equinor
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Efficient BERT: Optimal Multimetric Bayesian Optimization

11/06/2020
Views 56
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engine, experiment, future, information, learning, machine learning, memory, question, startup company, water, wine, accuracy and precision, attention, bullet, cluster analysis, distillation, function (mathematics), hyperparameter optimization, ice, mathematical optimization, metric (mathematics), parameter, pareto efficiency, reading comprehension, use case
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Demand Sensing Decision Support System

11/06/2020
Views 116
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analytics, consumer behaviour, deep learning, economics, forecasting, machine learning, merchandising, point of sale, prediction, retail, shopping, covid-19 pandemic, consumption (economics), dependent and independent variables, hyperlocal, hyperparameter optimization, index (economics), inventory, k-nearest neighbors algorithm, online shopping, overfitting, seasonality, time series, bricks and clicks
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Adam Grzywaczewski | The scaling laws of AI Why neural networks continue to grow

11/18/2020
Views 137
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algorithm, computer graphics, computer vision, computing, deep learning, graphics processing unit, machine learning, natural language processing, neural network, nvidia, reason, self-driving car, hyperparameter optimization, perception, recommender system, supercomputer, supervised learning, theory, training, validation, and test sets, translation, unsupervised learning, visual perception, computational resource
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Statistical causality in multimodal systems

03/08/2021
Views 73
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blockchain, causality, cryptocurrency, data science, ethereum, hypothesis, information, model selection, research, science, autoregressive model, calibration, function (mathematics), hyperparameter optimization, likelihood function, maximum likelihood estimation, normal distribution, parameter, predictive modelling, time series, white noise, gaussian function, multivariate normal distribution, vector autoregression, likelihood-ratio test, multimodal systems, statistical causality
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Build end-to-end solutions with Vertex AI | Session

05/18/2021
Views 27.56 K
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api, cloud ai, cloud computing, computing, engineering, google i/o, google io, google search, machine learning, prediction, software testing, system, team, tensorflow, twitter, user interface, workflow, application software, bit, command-line interface, end user, flowchart, hyperparameter optimization, latency (engineering), online and offline, pipeline (computing), software framework, upload, google cloud ai, #googleio, google announcement, google developer conference, pr_pr: google i/o, type: conference talk (full production), purpose: educate, google conference. google, ai and google cloud, ai with google cloud, machine learning with cloud ai, ml with cloud ai, tensorflow 2021
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AI/ML, Neural Networks & the future of analytics: Training Deep Neural Networks in parallel

07/29/2020
Views 170
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algorithm, analytics, api, computer, computer vision, database, deep learning, experiment, gradient descent, graphics processing unit, machine learning, memory, neural networks, smartphone, speech recognition, tensorflow, artificial neural network, convolutional neural network, hyperparameter optimization, library (computing), mathematical optimization, parallel computing, regularization (mathematics), roman empire, digital image processing
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COVID-19 Data Visualization and Modelling

05/10/2021
Views 267
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artificial intelligence, covid-19, instagram, machine learning, music, podcast, spotify, twitter, video, blog, dependent and independent variables, derivative, differential equation, equation, estimator, function (mathematics), genie (feral child), hyperparameter (machine learning), hyperparameter optimization, mathematical model, mathematical optimization, parameter, sine, initial condition, ordinary differential equation, basic reproduction number, data science conference 2020, wids mumbai 2020, woman in data science mmmbai , women in ds, effective data visualization in the era of covid-19, covid-19 data visualization, covid-19 data analysis, covid-19 modelling, covid-19 visualization
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Artificial intelligence in Healthcare

05/05/2021
Views 344
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ai, artificial intelligence, computer science, deep learning, healthcare, healthcare ai, intelligence, machine learning, natural language processing, robotics, self-driving car, surveillance, women in data science, women in technology, convolutional neural network, diabetic retinopathy, hyperparameter optimization, magnetic resonance imaging, medical diagnosis, medical imaging, multiclass classification, pathology, radiology, retina, sensitivity and specificity, sensor, statistical classification, training, validation, and test sets, turing test, understanding, wids worldwide, data science conference 2020, data science tips, education and research, wids 2020, wids mumbai 2020, woman in data science
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VASBSD - Part 1

01/09/2021
Views 207
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central processing unit, computer vision, concept, deep learning, learning to rank, neural network, prediction, programmer, algorithmic bias, artificial neural network, conceptual model, convolutional neural network, hyperparameter optimization, image segmentation, imagenet, overfitting, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance, feature learning, image quality, data sheet
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ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer

01/08/2021
Views 47
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architecture, data, experiment, inference, information, knowledge, pain, paper, prediction, accuracy and precision, attention, equation, france, function (mathematics), hyperparameter optimization, image segmentation, loss function, market segmentation, mathematical optimization, methodology, training, validation, and test sets, transfer function, devon, minimax, ada-at/dt
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Practical approaches for efficient hyperparameter optimization with Oríon

08/14/2021
Views 523
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artificial intelligence, data science, database, deep learning, dimension, engineering, information, learning, library, machine learning, music, privacy, python, research, science, software engineering, version control, cross-validation (statistics), file system, hyperparameter optimization, iphone x, mathematical optimization, probability distribution, software bug, temperature, truth, discrete logarithm, scientific computing, continuous uniform distribution, scipy2021, science research, orbital hybridisation
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Accelerating Spectroscopic Data Processing Using Python and GPUs on NERSC Supercomputers

08/15/2021
Views 406
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artificial intelligence, astronomy , central processing unit, data science, engineering, graphics processing unit, machine learning, numpy, nvidia, python, science, software engineering, unit testing, cuda, correlation and dependence, dark energy, hyperparameter optimization, kernel (operating system), message passing interface, multi-core processor, parallel computing, physical cosmology, profiling (computer programming), supercomputer, surveying, telescope, diffraction, charge-coupled device, point spread function, optical spectrometer, quasar, python 2021, scipy2021, python tutorial, science research, python virtual conference
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Efficient Distributed Hyperparameter Tuning with Apache Spark

05/27/2021
Views 2.85 K
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apache spark, central processing unit, data-intensive computing, databricks, deep learning, expert, machine learning, source code, brute-force search, cluster analysis, clustered file system, computational complexity theory, computer network, cross-validation (statistics), hyperparameter optimization, instruction pipelining, library (computing), loss function, mathematical optimization, parallel computing, principal component analysis, program optimization, random forest, subroutine, k-means clustering, computational phylogenetics
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ML Summit: Build | Federated Learning with TensorFlow Federated

10/14/2020
Views 396
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analytics, cloud computing, computer, computer hardware, computing, data center, database, differential privacy, federated learning, internet of things, machine learning, mobile app, privacy, smartphone, tensorflow, wi-fi, computer network, emoji, gboard, hyperparameter optimization, internet privacy, proxy server, server (computing), grid computing, keyboard technology
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Image and Video Understanding for Recommendation and Spam Detection Systems -Part 5

08/23/2020
Views 105
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deep learning, dimension, prediction, video, artificial neural network, attention, average, codec, convolution, convolutional neural network, data compression, equation, hyperparameter optimization, long short-term memory, matrix (mathematics), optical flow, signal, softmax function, video game, weight, deconvolution, association for computing machinery, linearity, attention (machine learning), self-supervised learning, computer science tutorials, acm 2020 tutorial, deep learnning, before deep learning , deep learning and cnns, metric learning for images, optimization for cnns, enzyme kinetics, video game live streaming
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Image and Video Understanding for Recommendation and Spam Detection Systems -Part 4

08/23/2020
Views 57
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algorithm, deep learning, information, podcast, radio, research, video, youtube, closed captioning, coherence (physics), equation, essay, feature (machine learning), function (mathematics), gradient, grayscale, hyperparameter optimization, image segmentation, mathematical optimization, mixture model, optical flow, statistical classification, three-dimensional space, vector space, monotonic function, computer vision 2020, computer science conference , artificial intelligence tutorial, data science tutorial
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Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games

10/23/2020
Views 112
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artificial intelligence, games, information, neural network, probability, accuracy and precision, artificial neural network, camera, colorfulness, convolutional neural network, first-person shooter, glitch, heat, hyperparameter optimization, image segmentation, light, matrix (mathematics), reinforcement, signal, texture mapping, understanding, use case, video game, video game development, confusion matrix, level of detail (computer graphics)

Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis

08/23/2020
Views 176
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artificial intelligence, computer programming, computer vision, data analysis, data science, deep learning, machine learning, natural language processing, automatic summarization, cluster analysis, convolutional neural network, cosine similarity, data model, feature selection, hyperparameter (machine learning), hyperparameter optimization, information extraction, monte carlo method, supervised learning, topic model, variational bayesian methods, word embedding, spanning tree, latent dirichlet allocation, wordnet, categorical distribution, acm 2020, computer science event 2020, kdd2020, computer science 2020, kdd2020 tutorials, transformer (machine learning model)
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Learning from All Types of Experiences: A Unifying Machine Learning Perspective

08/23/2020
Views 128
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data science, artificial intelligence, case study, compiler, computer vision, computing, creativity, deep learning, machine learning, mind, reinforcement learning, accuracy and precision, autoencoder, hyperparameter optimization, inquiry, instruction set architecture, likelihood function, loss function, maximum likelihood estimation, principal component analysis, regression analysis, unsupervised learning, kullback–leibler divergence, association for computing machinery, theoretical physics, lagrange multiplier, web ontology language, acm 2020, computer science event 2020, kdd2020, computer science 2020, principle of maximum entropy
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Hands On Tutorials: ‘From Zero to AI Hero with Automated Machine Learning’

08/25/2020
Views 136
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artificial intelligence, big data, central processing unit, cloud computing, computer vision, deep learning, documentation, forecasting, machine learning, microsoft, netflix, prediction, research, statistics, web service, 64-bit computing, accuracy and precision, artificial neural network, computer data storage, hyperparameter optimization, parallel computing, regression analysis, time series, training, validation, and test sets, visualization (graphics), weather forecasting, world wide web, association for computing machinery, acm 2020, computer science event 2020, kdd2020, computer science 2020
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Recent Advances in Integrating Machine Learning and Combinatorial Optimization

02/03/2021
Views 5.8 K
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gradient descent, learning to rank, machine learning, neural network, reinforcement learning, routing, vehicle routing problem, best, worst and average case, brute-force search, centrality, component (graph theory), equation, feasible region, hyperparameter optimization, integer programming, linear programming, search algorithm, time complexity, travelling salesman problem, combinatorial optimization, greedy algorithm, approximation algorithm, karush–kuhn–tucker conditions, linear programming relaxation, vertex cover
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Production Worthy Tools for Creating AI at the IoT Edge

03/25/2022
Views 191
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automation, big data, central processing unit, cloud computing, computer science, deep learning, intel, internet of things, library, machine learning tools, metadata, microcontroller, privacy, automated machine learning, computer network, data compression, embedded system, field-programmable gate array, hyperparameter optimization, image segmentation, multi-core processor, real-time computing, sampling (statistics), statistical classification, time series, use case, wearable technology, computer science 2021, machine learning techniques, tinyml foundation, tinyml2021, tinyml talks 2021, machine learning technologie, machine learning tutorials
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Keynote: Putting AI on a Diet: TinyML and Efficient Deep Learning

03/23/2022
Views 2.12 K
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algorithm, artificial intelligence, cloud computing, computer science, computing, deep learning, flash memory, icloud, innovation, internet, internet of things, machine learning, neural network, neural networks, privacy, self-driving car, smartphone, stm32, technology, tensorflow, data compression, deception, hyperparameter optimization, image editing, image segmentation, imagenet, internet access, macintosh, server (computing), computer science 2021, tinyml foundation, tinyml2021, neural networks 2021, tinyml2021 keynote
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Modernizing the Analytics and Data Science Lifecycle for the Scalable Enterprise: The SEAL Method

10/25/2020
Views 113
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analytics, big data, data base, data science churn, data warehouse, database, devops, innovation, linkedin, machine learning, pdf, product lifecycle, sql, supply chain, value proposition, extract, transform, load, function (mathematics), hyperparameter optimization, microsoft powerpoint, oracle corporation, parameter, prototype, software release life cycle, strategic management, understanding, visualization (graphics), analitic
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Automating Production Production Level Machine Learning on AWS

10/25/2020
Views 64
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analytics, automation, best practice, cloud computing, data science, deep learning, devops, forecasting, internet, key management, machine learning, machine learning applications, mind, ml ops, predictive analytics, product lifecycle, software development, tensorflow, data model, deployment environment, hyperparameter optimization, internet access, life-cycle assessment, return on investment, use case, data scientists, machine tool
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Inference Risks for Machine Learning

05/07/2021
Views 527
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algorithm, artificial intelligence, automl, computer science, computer vision, cryptography , deep learning, differential privacy, learning, machine learning, neural networks, personal data, prediction, privacy, risk, utility, belief, hyperparameter optimization, imputation (statistics), neural architecture search, overfitting, regression analysis, sensitivity analysis, sensitivity and specificity, spectre (security vulnerability), statistical classification, theory, training, validation, and test sets, type i and type ii errors, theoretical computer science, positive and negative predictive values, iclr 2021, iclr virtual conference , naslib, neural and evolutionary computing , neural architecture search library, network optimization , iclr 2021 workshop, neural network architectures, talk by david evans
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Convolutional Neural Networks for Image Classification By Mohanraj Vengadachalam [MLDS2020]

01/22/2020
Views 443
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computer vision, deep learning, image classification, instagram, network, neural network, tensorflow, accuracy and precision, activation function, artificial neural network, avatar (computing), convolutional neural network, data compression, facial expression, hyperparameter optimization, image segmentation, low-pass filter, mathematical optimization, parameter, statistical classification, training, validation, and test sets, type i and type ii errors, use case, variable (mathematics), digital image processing, convolutional neural networks, abductive reasoning, sobel operator
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Tutorials: A Hands-On Introduction to Multi-Objective Optimisation

05/13/2021
Views 6.15 K
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food, google chrome, machine learning, motivation, protein, python, python community, research, shopping, antibody, brute-force search, computational complexity theory, dna, drug discovery, false positives and false negatives, genetic algorithm, hyperparameter optimization, knapsack problem, medication, multi-objective optimization, primer (molecular biology), project jupyter, search algorithm, universe, python software foundation, cosmology, pycon us, pycon us 2021, python 2021, python tutorials 2021, python tips and tricks, pycon 2021 tutorials, tutorial pycon us 2021, eyal kazin, eyal kazin python, tutorials by eyal kazin, protein engineering
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