Continuous Delivery for AI applications Machine Learning - PowerPoint PPT Presentation

Mar 30, 2023 •584 likes •677 views

Continuous Delivery for AI applications Machine Learning Significantly improve many applications on multiple domains natural language image understanding speech recognition autonomy processing deep learning trend in the past 10

Continuous Delivery for AI applications
Machine Learning Significantly improve many applications on multiple domains natural language image understanding speech recognition autonomy processing … “deep learning” trend in the past 10 years
Machine Learning at Amazon
The circle of ML How do we scale it? DevOps team ML Application How do we apply it? Business Problem ML Model Analysts / DS team Data Front-End team ML is great Data Engineering team
AWS AI Services
AWS Developer Tools AWS CodeStar AWS CodeBuild AWS CodeDeploy AWS CodeCommit AWS CodePipeline
Deploying Prediction Functions using MXNet and ECS
Give It a spin • https://aws.amazon.com/blogs/ai/deploy-deep-learning- models-on-amazon-ecs/

Recommend

Reinforcement Learning for Continuous State and Action Spaces Gradient Methods 1 MACHINE LEARNING

MACHINE LEARNING 2012 MACHINE LEARNING TECHNIQUES AND APPLICATIONS Reinforcement Learning for Continuous State and Action Spaces Gradient Methods 1 MACHINE LEARNING 2012 Reinforcement Learning (RL) Supervised Learning Unsupervised

777 views • 51 slides

MLCC 2015 machine learning applications Francesca Odone ML applications Machine Learning

MLCC 2015 machine learning applications Francesca Odone ML applications Machine Learning systems are trained on examples rather than being programmed MLCC machine learning applications Data challenges big data - extract real knowledge from

451 views • 30 slides

Learning Architectures and Loss Functions in Continuous Space Fei Tian Machine Learning Group

Learning Architectures and Loss Functions in Continuous Space Fei Tian Machine Learning Group Microsoft Research Asia Self-Introduction Researcher @ MSRA Machine Learning Group Joined in July, 2016 Research Interests: Machine

769 views • 29 slides

Traditional Machine Learning: Unsupervised Learning Juhan Nam Traditional Machine Learning

GCT634/AI613: Musical Applications of Machine Learning (Fall 2020) Traditional Machine Learning: Unsupervised Learning Juhan Nam Traditional Machine Learning Pipeline in Classification Tasks A set of hand-designed audio features are selected

398 views • 26 slides

Continuous Delivery of Debian packages Michael Prokop Terminology Continuous Integration

Continuous Delivery of Debian packages Michael Prokop Terminology Continuous Integration well known from software development Continuous Deployment Q/A criteria says OK? Ship/deploy! Continuous Delivery release whenever

526 views • 48 slides

Introduction to Machine Learning Deep Learning Applications Barnabs Pczos Applications

Introduction to Machine Learning Deep Learning Applications Barnabs Pczos Applications Image Classification (Alexnet, VGG, Resnet) on Cifar 10, Cifar 100, Mnist, Imagenet Art Neural style transfer on images and videos

1.19k views • 83 slides

PROGRESSIVE DELIVERY PROGRESSIVE DELIVERY CONTINUOUS DELIVERY THE RIGHT WAY CONTINUOUS DELIVERY

PROGRESSIVE DELIVERY PROGRESSIVE DELIVERY CONTINUOUS DELIVERY THE RIGHT WAY CONTINUOUS DELIVERY THE RIGHT WAY Carlos Sanchez / csanchez.org @csanchez / PROGRESSIVE PROGRESSIVE DELIVERY DELIVERY Progressive Delivery is a term that

561 views • 41 slides

Discrete and Continuous Reinforcement Learning (not part of exam material) 1 1 ADVANCED

ADVANCED MACHINE LEARNING ADVANCED MACHINE LEARNING Brief Overview of Discrete and Continuous Reinforcement Learning (not part of exam material) 1 1 ADVANCED MACHINE LEARNING Forms of Learning Supervised learning where the algorithm

1.27k views • 71 slides

Continuous Delivery for the rest of us About me Lisa van Gelder Consultant at Cyrus

Continuous Delivery for the rest of us About me Lisa van Gelder Consultant at Cyrus Innovation lvangelder@cyrusinnovation.com @techbint Continuous Delivery Is not: Continuous deployment Automating all the things Is :

665 views • 55 slides

Deep Learning: Intro Juhan Nam Review of Traditional Machine Learning The traditional machine

GCT634/AI613: Musical Applications of Machine Learning (Fall 2020) Deep Learning: Intro Juhan Nam Review of Traditional Machine Learning The traditional machine learning pipeline Temporal Frame-level Unsupervised Classifier Summary

613 views • 27 slides

Apache PredictionIO End-to-End Machine Learning Server with Apache Spark What is Machine

Apache PredictionIO End-to-End Machine Learning Server with Apache Spark What is Machine Learning? What is Machine Learning? Examples of machine learning applications: Facial recognition software E-mail spam detectors Automated

302 views • 17 slides

Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler *,

Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler *, Yonathan Efroni* and Shie Mannor *equal contribution Poster #272 Action Robust Reinforcement Learning and Applications in Continuous Control Robust MDPs

502 views • 8 slides

Continuous delivery for native apps Niels Frydenholm, ebay Classifieds Continuous delivery 3

Continuous delivery for native apps Niels Frydenholm, ebay Classifieds Continuous delivery 3 Continuous delivery Being able to build a release-ready binary at any given time. 3 ebay Classifieds, Denmark 4 ebay Classifieds, Denmark

798 views • 57 slides

Machine Learning for Music: Intro Juhan Nam Definition of Machine Learning Tom M. Mitchell

GCT634/AI613: Musical Applications of Machine Learning (Fall 2020) Machine Learning for Music: Intro Juhan Nam Definition of Machine Learning Tom M. Mitchell provided a widely accepted definition: A computer program is said to learn from

595 views • 24 slides

Practical Advice for Building Machine Learning Applications Machine Learning Based on lectures

Practical Advice for Building Machine Learning Applications Machine Learning Based on lectures and papers by Andrew Ng, Pedro Domingos, Tom Mitchell and others 1 ML and the world Making ML work in the world Mostly experiential advice Also

863 views • 69 slides

ADVANCED MACHINE LEARNING Non-linear regression techniques 1 1 ADVANCED MACHINE LEARNING

ADVANCED MACHINE LEARNING ADVANCED MACHINE LEARNING Non-linear regression techniques 1 1 ADVANCED MACHINE LEARNING Regression: Principle N Map N-dim. input x to a continuous output y . Learn a function of the type:

1.29k views • 61 slides

Machine Learning Safety with Applications to the Climate Sciences Derek DeSantis , Phil

Machine Learning Safety with Applications to the Climate Sciences Derek DeSantis , Phil Wolfram, Boian Alexandrov May 11, 2020 Part I - Machine Learning Safety and why you should care Recent Successes of Machine Learning/AI Recent

1.34k views • 116 slides

1 Dont Make Me Get Non -Linear! A Grounding Example: Linear Regression Predict

What is Machine Learning? A (Very Short) List of Applications Many different forms of Machine Learning Machine learning widely used in many contexts We focus on the problem of prediction Stock price prediction o Using economic

262 views • 3 slides

The Game of Continuous Delivery Presented by: Tanya

T5 Continuous Delivery Thursday, October 3rd, 2019 9:45 AM The Game of Continuous Delivery Presented by: Tanya Kravtsov

415 views • 17 slides

Machine Learning from a Continuous Viewpoint Weinan E Princeton University Joint work with:

Machine Learning from a Continuous Viewpoint Weinan E Princeton University Joint work with: Chao Ma, Lei Wu https://arxiv.org/pdf/1912.12777.pdf August 3, 2020 1 / 31 Examples Standard ML problems for which we are given the dataset: 1

335 views • 31 slides

Testing in a Microservices and Continuous Delivery Environment Presented by: Robert Williams CA

T7 DevOps/Continuous Delivery Thursday, May 3rd, 2018 11:15 AM Testing in a Microservices and Continuous Delivery Environment Presented by: Robert Williams CA Technologies Brought to you by: 350 Corporate Way, Suite 400, Orange Park, FL 32073

265 views • 23 slides

CS314 Software Engineering Continuous Delivery Dave Matthews How long does it take your team to

11/15/18 CS314 Software Engineering Continuous Delivery Dave Matthews How long does it take your team to deploy a change that involves a single line of code? And do this on a reliable, repeatable basis? Continuous Delivery: , Jez Humble

179 views • 7 slides

Machine learning with Naive Bayes: MSR applications Ralf Lmmel Software Languages Team

Machine learning with Naive Bayes: MSR applications Ralf Lmmel Software Languages Team Computer Science Faculty University of Koblenz-Landau Hidden agenda Motivate students to use machine learning in their MSR projects while using

538 views • 52 slides

Machine learning applications in developing-world sustainability John Quinn AI-DEV Group School

Machine learning applications in developing-world sustainability John Quinn AI-DEV Group School of Computing and Informatics Technology Makerere University, Kampala, Uganda CompSust 2012 1 / 22 Overview Why machine learning in the

773 views • 22 slides