{"id":100674,"date":"2019-03-06T03:05:00","date_gmt":"2019-03-05T19:05:00","guid":{"rendered":"http:\/\/itteacheritfreelance.hk\/test\/wordpress\/?guid=3d1929e3619165f1f683e39f92f205b0"},"modified":"2019-03-06T03:05:00","modified_gmt":"2019-03-05T19:05:00","slug":"review-google-cloud-automl-is-truly-automated-machine-learning","status":"publish","type":"post","link":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/2019\/03\/06\/review-google-cloud-automl-is-truly-automated-machine-learning\/","title":{"rendered":"Review: Google Cloud AutoML is truly automated machine learning"},"content":{"rendered":"

When you\u2019re trying to train the best machine learning model for your data automatically, there\u2019s AutoML, or automated machine learning, and then there\u2019s Google Cloud AutoML. Google Cloud AutoML is a cut above.\u00a0<\/p>\n

\"editors InfoWorld<\/small><\/figure>\n

In the past I\u2019ve reviewed H2O Driverless AI<\/a>, Amazon SageMaker<\/a>, and Azure Machine Learning AutoML<\/a>. Driverless AI automatically performs feature engineering and hyperparameter tuning, and claims to perform as well as Kaggle masters. Amazon SageMaker supports hyperparameter optimization. Azure Machine Learning AutoML automatically sweeps through features, algorithms, and hyperparameters for basic machine learning algorithms; a separate Azure Machine Learning hyperparameter tuning facility allows you to sweep specific hyperparameters for an existing experiment.<\/p>\n

To read this article in full, please click here<\/a><\/p>\n<\/section>\n<\/article>\n

(Insider Story)<\/p>\n","protected":false},"excerpt":{"rendered":"

When you’re trying to train the best machine learning model for your data automatically, there’s AutoML, or automated machine learning, and then there’s Google Cloud AutoML. Google Cloud AutoML is a cut above. <\/p>\n

\"editorsInfoWorld<\/small><\/figure>\n

In the past I’ve reviewed H2O Driverless AI<\/a>, Amazon SageMaker<\/a>, and Azure Machine Learning AutoML<\/a>. Driverless AI automatically performs feature engineering and hyperparameter tuning, and claims to perform as well as Kaggle masters. Amazon SageMaker supports hyperparameter optimization. Azure Machine Learning AutoML automatically sweeps through features, algorithms, and hyperparameters for basic machine learning algorithms; a separate Azure Machine Learning hyperparameter tuning facility allows you to sweep specific hyperparameters for an existing experiment.<\/p>\n

To read this article in full, please click here<\/a><\/p>\n

(Insider Story) \u95b1\u8b80\u5168\u6587 →<\/span><\/a><\/p>\n","protected":false},"author":135,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"slim_seo":[],"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[451,2,7],"tags":[398,402,397,414,413,410,409,407,408,406,399,400,394,318,558,560,555,561,566,553,554,586,585,563,562,183,567,524,10,401,396,403,412,411,395,405,404,457,454,319,316],"jetpack_publicize_connections":[],"aioseo_notices":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p7prtj-qbM","jetpack-related-posts":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/posts\/100674"}],"collection":[{"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/users\/135"}],"replies":[{"embeddable":true,"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/comments?post=100674"}],"version-history":[{"count":1,"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/posts\/100674\/revisions"}],"predecessor-version":[{"id":100675,"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/posts\/100674\/revisions\/100675"}],"wp:attachment":[{"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/media?parent=100674"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/categories?post=100674"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/wp-json\/wp\/v2\/tags?post=100674"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}