Notes:
Automated machine learning, or AutoML, is a set of techniques and tools that automate the process of building machine learning models. It allows users with limited machine learning expertise to train high-quality models by automating key machine learning workflows, such as model selection and hyperparameter tuning. This can save time and resources, and enable organizations to build and deploy machine learning models faster and more easily. AutoML is often used in industries such as healthcare, finance, and e-commerce, where the ability to quickly build and deploy accurate machine learning models can provide significant business value.
Resources:
- cloud.google.com/automl .. train high quality custom machine learning models with limited machine learning expertise
Wikipedia:
References:
- Why AutoML Is Set To Become The Future Of Artificial Intelligence (2018)
- Using Machine Learning to Explore Neural Network Architecture (2017)
See also:
Automated Machine Learning & Dialog Systems
- Designing Declarative ML Experiences, AutoML – MLUX SF at Salesforce
- AutoML Video Demo
- Episode #28: Palmöl. Nanobots. AutoML, Batterietechnologie, Update- Backfire effect.
- Introducing Cloud AutoML
- AI Artists, Cloud AutoML, AI Read Better Than Humans – This Week In AI #2
- Google bring AI to all businesses with Cloud AutoML – w3@2018
- tech news:Google’s Cloud AutoML to Help Businesses Build AI Models
- Google Cloud AutoML to help all businesses leverage AI
- Goo gle’s AutoML Creates Machine Learning Models Without Programming Experience
- Google launches Cloud AutoML to automatically build custom AI models
- Goo gle’s Cloud AutoML Vision tool simplifies AI training with a drag and drop interface
- Google’s AutoML lets you train custom machine learning models without having to code
- Cloud AutoML Vision with Amy Unruh and Sara Robinson: GCPPodcast 109
- Goo gle launches Cloud AutoML to automatically build custom AI models
- Goo gle Cloud AutoML wants to make AI accessible for all businesses
- Google Cloud AutoML Vision-ETTODAY 3C
- Introducing Cloud AutoML
- Google’s Skynet – The Groundbreaking Artificial Intelligence AutoML – Engineering Plus Tech
- Google AutoML Now Smarter Then Us !
- Automated Machine Learning: Mostly Unhelpful – Charles Parker (BigML)
- Sam and Dave Podcast #8: Mueller, A Stickup, Tesla Truck, Google’s AutoML
- DataRobot Presents Automated Machine Learning
- Intro to AutoML + Hands-on Lab – Erin LeDell, Machine Learning Scientist, H2O.ai
- Google-child-ai-bot-nasnet-automl-machine-learning-artificial-intelligence
- google-child-ai-bot-nasnet-automl-machine-learning-artificial-intelligence
- GOOGLE Supercomputer Creates Its Own ‘AI CHILD’ NASNet & AUTOML
- Data science for lazy people, Automated Machine Learning by Diego Hueltes
- MIA: Nicolo Fusi, Automated Machine Learning
- Nels hosts a 4K live stream on 11/3/2017: AutoML and I was wrong about bitcoins
- Andreas Mueller – Automated Machine Learning – AI With The Best Oct 2017
- Google’s Machine Learning Software Has Learned to Replicate Itself | Google AutoML
- Google’s AI , Writes Software Code better than Humans | AutoML | Tamil | Tech Tamila #22
- IBS – Accelerating Data Science using Automated Machine Learning – Inspire Europe 2017
- Webinar on Automated Machine Learning using MLBox Python Package, by Axel De Romblay
- ZAML = Zest Automated Machine Learning
- Automated Machine Learning – Nicolo Fusi of Microsoft Research
- Applied AI Meetup #6 – AutoML: time to evolve
- What is Automated Machine Learning for Asset Maintenance?
- The Future of Automated Machine Learning for Asset Maintenance
- Google AutoML
- Google #IO17 | Keynote | AutoML
- DataRobot – Automated Machine Learning Platform
- ReSys 2016: Keynote – Automated Machine Learning in the Wild
- AutoML with H2O – Raymond Peck
- Vitriol – Automated Machine Learning Tool
- Automated Machine Learning Using Spark Mllib to Improve… – Sourabh Chaki (247 inc)
- AutoML Kernel Tuning, Adwait Dongare, Raied Aljadaany