Resources:
- aws.amazon.com/sagemaker .. build, train, and deploy machine learning
References:
- Piloting Amazon SageMaker Made Easy (20 Feb 2019)
- AWS SageMaker: Product Overview and Insight (14 Feb 2019)
- iMerit Announces Data Labeling for Amazon SageMaker Ground Truth … (5 Feb 2019)
- iMerit to offer secure enterprise-grade data labeling with Amazon … (5 Feb 2019)
- Review: Azure Machine Learning challenges Amazon SageMaker (4 Feb 2019)
- Amazon Web Services continues open-source push with code behind … (29 Jan 2019)
- Amazon open-sources SageMaker Neo to help developers optimize … (28 Jan 2019)
- Amazon Open Sources SageMaker Neo To Run Machine Learning … (27 Jan 2019)
- AWS open sources SageMaker Neo code as Neo-AI project (24 Jan 2019)
- A How To Course on edX About Amazon SageMaker and Machine … (25 Dec 2018)
- Amazon updates SageMaker with new built-in algorithms and Git … (10 Dec 2018)
- How the NFL is able to predict pass completion using AWS SageMaker (30 Nov 2018)
- Amazon SageMaker updates take on workflows, data labeling (29 Nov 2018)
- Reward your Machine mind’s little successes with AWS SageMaker RL (29 Nov 2018)
- DimensionalMechanics, Inc. Launches NeoPulse Framework on … (28 Nov 2018)
- Amazon launches AWS SageMaker Ground Truth, an automated data … (28 Nov 2018)
- Amazon launches an automated labeling service for its SageMaker … (28 Nov 2018)
- Qubole Unveils Cloud-Native Solution Leveraging Amazon … (27 Nov 2018)
- Machine learning for novices: AWS SageMaker update brings new … (23 Nov 2018)
- AWS boosts SageMaker with new AI algorithms, more automation (21 Nov 2018)
- Amazon adds new features to SageMaker (21 Nov 2018)
- Weigh Amazon SageMaker ease of use against needed AI skills (24 Aug 2018)
- Periscope Data In Collaboration With SageMaker (19 Jul 2018)
- Accessible AI: With SageMaker, Amazon aims to bring machine … (18 Jul 2018)
- AWS SageMaker Upgrades Again (18 Jul 2018)
- AWS adds BYO streaming algorithms to SageMaker machine learning … (17 Jul 2018)
- Periscope Data integrates with Amazon’s SageMaker to simplify … (16 Jul 2018)
- Review: Amazon SageMaker scales deep learning (14 May 2018)
- Amazon Web Services adds new features to SageMaker and makes … (4 Apr 2018)
- AWS announces SageMaker Local Mode for building AI locally (4 Apr 2018)
- Amazon SageMaker goes for “Infinitely Scalable” Machine Learning (23 Mar 2018)
- Amazon Web Services reveals more details on the thinking behind … (19 Mar 2018)
- Amazon pulls back the curtain on SageMaker AI service (19 Mar 2018)
See also:
100 Best Amazon Sumerian Hosts
- How redBus Uses Amazon SageMaker to Reduce the Time-to-Market
- How redBus Uses Amazon SageMaker to Reduce the Time-to-Market [PROMO]
- nCino Cloud Banking leader using SageMaker of AWS
- Build your Machine Learning Datasets with Amazon SageMaker Ground Truth – AWS Online Tech Talks
- Build and Train Reinforcement Models with Amazon SageMaker RL – AWS Online Tech Talks
- Amazon Sumerian | S3 E7 – Integrating Amazon SageMaker for Reinforcement Learning, Pt II
- AWS Innovate 2019 | Using Amazon SageMaker for Fraud Prediction on Credit Card Transactions
- Mois du Cloud – AI in the Cloud: using AWS SageMaker in real life
- Looker + SageMaker
- Amazon AI Conclave 2018 – Simplify DevOps of ML with Amazon SageMaker by Kumar Venkateswar
- Improve model quality with Amazon SageMaker Automatic Model Tuning by Kumar Venkateswar
- Amazon SageMaker Ground Truth: Build High-Quality and Accurate ML Training Data Sets
- DeepRacer training succeed. (SageMaker)
- Build with Amazon Sumerian | S3 E4 – Integrating Amazon SageMaker for Reinforcement Learning
- Simplifier et accélérer sa stratégie de Machine Learning avec Amazon SageMaker
- Deepracer Sagemaker
- Inawisdom: Machine Learning and Automated Model Retraining with SageMaker
- Hands-On Machine Learning Using Amazon SageMaker: Why Online Evaluation | packtpub.com
- Hands-On Machine Learning Using Amazon SageMaker: Exploring Hyperparameter | packtpub.com
- Hands-On Machine Learning Using Amazon SageMaker: Deploy the Model Locally | packtpub.com
- Hands-On Machine Learning Using Amazon SageMaker: The Course Overview | packtpub.com
- Hands-On Machine Learning Using Amazon SageMaker: Introduction | packtpub.com
- Hands-On Machine Learning Using Amazon SageMaker: NLP Problem Definition | packtpub.com
- AWS Builders’ Day | An Introduction to Reinforcement Learning with Amazon SageMaker RL
- AWS Builders’ Day | Machine Learning: From Notebook to Production with Amazon Sagemaker
- AWS Builders’ Day | Fraud detection with Sagemaker
- AWS Builders’ Day | re:Invent Deep Dive on Amazon SageMaker, Amazon Forecast and Amazon Personalize
- Julien Simon (Amazon) – Machine Learning From notebook to Production with Amazon SageMaker
- pragmaticai sagemaker setuptips 2018 12 14
- P2P Loan with AWS SageMaker – Xi Han (15 minutes)
- Raw Footage: LAN2018 Speaker Series:Michael Golub from Anexinet: SageMaker in Action
- Call an Amazon SageMaker model endpoint using Amazon API Gateway and AWS Lambda
- P2P Loan with AWS SageMaker – Xi Han (2 minutes)
- calling a SageMaker model endpoint using API Gateway and Lambda function in AWS
- Introducing Amazon SageMaker Ground Truth – AWS Online Tech Talks
- Build and deploy Machine Learning models with AWS SageMaker
- AWS and edX Bring You “Amazon SageMaker: Simplifying Machine Learning Application Development”
- Amazon SageMaker: Infinitely Scalable Machine Learning Algorithms
- AWS re:Invent 2018: [NEW LAUNCH!] Machine Learning w/ Amazon SageMaker & AWS Marketplace (AIM371)
- AWS re:Invent 2018: [NEW LAUNCH!] Amazon SageMaker Ground Truth: Quality & Accurate Datasets(AIM369)
- New Data Processing Capabilities in Amazon SageMaker for Training & Inference
- Orchestrate ML Workflows in Amazon SageMaker & AWS Step Functions
- AWS re:Invent 2018 – Announcing Amazon SageMaker RL
- AWS re:Invent 2018 – Introducing Amazon SageMaker Ground Truth
- AWS re:Invent 2018: How Peak.AI Uses Amazon SageMaker for Product Personalization (GPSTEC316)
- AWS re:Invent 2018: Integrate Amazon SageMaker with Apache Spark, ft. Moody’s (AIM403-R1)
- AWS re:Invent 2018: How Bill.com Uses Amazon SageMaker & AWS Glue to Enable Machine Learning -STP10
- AWS re:Invent 2018: ML Workflows with Amazon SageMaker and AWS Step Functions (API325)
- Amazon launches an automated labeling service for its SageMaker machine learning tool
- AWS re:Invent 2018: Leveraging Amazon SageMaker to Drive Rapid Innovation (STP03)
- AWS re:Invent 2018 – Announcing Amazon SageMaker Neo
- AWS re:Invent 2018: Smarter Event-Driven Edge with Amazon SageMaker & Project Flogo (AIM204-S)
- Supercharge Your Machine Learning Model with Amazon SageMaker
- Amazon SageMaker’s Built-in Algorithm Webinar Series: Clustering with K Means
- Amazon SageMaker’s Built-in Algorithm Webinar Series: Latent Dirichlet Allocation (LDA)
- Amazon SageMaker’s Built-in Algorithm Webinar Series: Linear Learner
- Amazon SageMaker’s Built-in Algorithm Webinar Series: DeepAR Forecasting
- Amazon SageMaker’s Built-in Algorithm Webinar Series: Blazing Text
- Amazon SageMaker’s Built-in Algorithm Webinar Series: Sequence2Sequence
- Amazon SageMaker’s Built-in Algorithm Webinar Series: ResNet
- Amazon SageMaker’s Built-in Algorithm Webinar Series: XGBoost
- Amazon SageMaker’s Built-in Algorithm Webinar Series: Bonus Topic: Optical Character Recognition
- Intellify – This is My Code: Particle Swarm Optimization Using SageMaker
- Innovation@amazon 2018: Julien Simon, Deep Learning on Amazon SageMaker
- Price prediction using PyTorch – deep learning framework – Using AWS SageMaker, Jupyter Notebook
- deploy xgboost using AWS SageMaker
- Paxata and Sagemaker
- Predictive Analytics with Amazon SageMaker
- Browsi: Using ML to Predict Ad Viewability with Amazon SageMaker
- AWS UserGroup Madrid – From Notebook to Production with Amazon Sagemaker
- Using Amazon SageMaker to develop and deploy ML models with Ian Massingham (AWS)
- aws sagemaker
- Keras neural model using Python, AWS Sagemaker & Tensorflow – define optimal layers & neurons
- Getting Started with AI/ML Using Amazon SageMaker
- AWS SageMaker Tutorial | Introduction To AWS SageMaker | AWS Training | Edureka
- Amazon SageMaker Demo
- Keras neural network API, AWS SageMaker & Tensorflow
- Build, Train & Deploy your ML Application on Amazon SageMaker with redBus
- Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker – AWS Online Tech Talks
- SageMaker I : créer, entrainer et déployer à grande échelle des modèles de ML – Dev Day Paris 2018
- SageMaker II : démos – Dev Day Paris 2018
- AWS Summit Anaheim 2018 – Working with ML in Amazon SageMaker (BDA203)
- Using R with Amazon SageMaker Tutorial 1
- SageMaker Automatic Model Tuning: MXNet Vancouver Meetup
- Build, Train, & Deploy ML Models Using SageMaker
- Using AWS SageMaker to make movie recommendations with factorization machines
- Manage Deep Learning Models at Scale with Amazon SageMaker (Level 300)
- Detect Anomalies in Your Data with Amazon SageMaker (Level 300)
- AWS SageMaker Jupiter
- Chicago Summit 2018 – Machine Learning with Amazon SageMaker – Algorithms and Frameworks
- AWS Chicago Summit 2018 – Accelerate Machine Learning with Ease Using Amazon SageMaker
- Machine Learning Models with TensorFlow Using Amazon SageMaker – AWS Online Tech Talks
- Managing Deep Learning Models with Amazon SageMaker
- AWS Amazon SageMaker for Anomaly detection in Data
- Intorduction to AWS SageMaker tutorial
- Installing External Packages in SageMaker Training Model Locally
- AWS NY Summit – Machine Learning Made Easy with Amazon SageMaker
- Live Coding – AWS Innovate | Using Keras with Apache MXNet on Amazon SageMaker (Session 3A)
- TECHinPORTO 18 | Amazon SageMaker Workshop: Build, train, deploy machine learning models at scale
- Hyperparameter Tuning with Amazon SageMaker’s Automatic Model Tuning – AWS Online Tech Talks
- Continuous Delivery with AWS CodePipeline and Amazon SageMaker
- Calling SageMaker Endpoint With Python Using Invoke_Endpoint
- Build, Train, and Deploy a ML Model with SageMaker Super Fast
- AWS Summit New York 2018 – Announcing Amazon SageMaker
- Seismic Density Prediction in Oil & Gas with Amazon Sagemaker
- Porosity Prediction with Amazon Sagemaker’s XGBoost Algoirithm
- Lithology Prediction in Oil & Gas with Amazon Sagemaker
- Simple Deep Learning mit AWS SageMaker
- AWS SageMaker: What Is It and How Can It Help? – Tolga Talks Tech
- Real-Time Machine Learning on Satellite Imagery: How DigitalGlobe Uses Amazon SageMaker
- Simplifiez et accélerer le Machine Learning avec Amazon Sagemaker – AWS Summit Paris 2018
- Integrating Amazon SageMaker into your Enterprise – AWS Online Tech Talks
- Deploy ML code using Docker Container – AWS SageMaker, Tensorflow, AWS Redshift & scikit-learn
- How to Build an AWS DeepLens Project Using Amazon SageMaker
- Part 2 (final) – Deploy TensorFlow Models on AWS SageMaker
- DataXDay – FR – Machine learning models at scale with Amazon SageMaker
- Using Apache Spark with Amazon SageMaker – AWS Online Tech Talks
- Part 1 – Deploy TensorFlow Models on Amazon AWS SageMaker
- Randall Hunt SageMaker Demo
- Amazon SageMaker for Fraud Detection
- Builders’ Lab: Amazon SageMaker
- Scheduling the training of a SageMaker model with a Lambda function
- Invoking a SageMaker model from a Lambda function
- AWS Summit – London | twitch.tv/aws | Amazon SageMaker – Live Demo
- AI & ML Web Day | Einführung in Amazon SageMaker, eine Werkbank für ML Algorithmen und Deep Learning
- AI & ML Web Day | Wie gelingt der Einstieg in Amazon SageMaker? Ein Erfahrungsbericht zum Mitmachen.
- And Beyond: Amazon Sagemaker | Hebrew Webinar
- Build, Train and Deploy ML Models at Scale with Amazon SageMaker
- New Amazon SageMaker Feature Launches Announced at AWS San Francisco Summit 2018
- Amazon SageMaker- Feature Launches
- Working with Scalable Machine Learning Algorithms in Amazon SageMaker – AWS Online Tech Talks
- Amazon pulls back the curtain on SageMaker AI service
- Build, Train & Deploy models at Scale with Amazon SageMaker-Using Built in Algorithms Demo
- Build, Train & Deploy models at Scale with Amazon SageMaker-Other Training Parameters Demo
- Build, Train & Deploy models at Scale with Amazon SageMaker-Launching A Jupyter Notebook Instance
- Build, Train & Deploy models at Scale with Amazon SageMaker-Deploying Models to Production Demo
- Build, Train & Deploy models at Scale with Amazon SageMaker -Bring Your Own Models to Amazon SageMa
- creating machine learning platform in cloud with amazon sagemaker
- AWS Tech Talk Web Day | Performing Fraud Detection using Amazon SageMaker and Linear Learner
- Introducing Amazon SageMaker – AWS Online Tech Talks
- Live Coding with AWS | Training and Deploying AI with Amazon SageMaker
- AWS Builders’ Day | Machine Learning: From Notebook to Production with Amazon Sagemaker
- AWS DevDays Nordics – Machine Learning: From Notebook to Production with Amazon Sagemaker
- Introducing Amazon SageMaker – AWS Online Tech Talks
- How To Pull Data into S3 using AWS Sagemaker
- Image classification with Amazon SageMaker
- PipelineAI Monthly Community Dev Sync – Jan 2018 – AWS SageMaker + Kubernetes + TensorFlow + GPUs
- How to create a jupyter notebook using Amazon SageMaker
- AWS SageMaker Deep Learning for Breast Cancer Prediction
- Getting Started With AWS SageMaker
- PipelineAI Monthly Community Dev Sync – Dec 2017 – Kubernetes, AWS SageMaker, and Machine Learning
- Machine Learning de bout en bout avec Amazon SageMaker
- PipelineAI + AWS SageMaker + Kubernetes + TensorFlow
- AWS re:Invent Launchpad 2017 – Amazon SageMaker
- AWS re:Invent 2017: NEW LAUNCH! Introducing Amazon SageMaker (MCL365)
- How Capital One is using Amazon’s new SageMaker and Neptune services
- An overview of Amazon SageMaker
- AWS re:Invent 2017 – Introducing Amazon SageMaker
(Visited 17 times, 1 visits today)