This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest.
This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest.
2 Comments
Tomi Engdahl says:
Google’s AutoML lets you train custom machine learning models without having to code
https://techcrunch.com/2018/01/17/googles-automl-lets-you-train-custom-machine-learning-models-without-having-to-code/?ncid=rss&utm_source=tcfbpage&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&utm_content=FaceBook&sr_share=facebook
Tomi Engdahl says:
Google’s Self-Training AI Turns Coders Into Machine-Learning Masters
https://www.technologyreview.com/s/609996/googles-self-training-ai-turns-coders-into-machine-learning-masters/?utm_source=facebook.com&utm_medium=social&utm_content=2018-01-14&utm_campaign=Technology+Review
Automating the training of machine-learning systems could make AI much more accessible.