Want to know about Vertex AI Feature Store? Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering, where we discuss good versus bad features and how you can preprocess and transform them for optimal use in your models. This course includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
Об этом курсе
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- 5 stars63,38 %
- 4 stars25,02 %
- 3 stars7,45 %
- 2 stars2,15 %
- 1 star1,97 %
Лучшие отзывы о курсе ПРОЕКТИРОВАНИЕ ПРИЗНАКОВ
Its a graet course team me one of the most important took "Apache Beam" I defiantly use this in my upcoming projects. I only give 4 star because of poor teaching by "Carl Osipov"
Some of the labs had big query errors, and some of the google cloud interfaces changed, so careful when doing the labs, the options and the buttons may have been shifted or renamed
This course covers a lot about the data pre-processing, and the tools available in Google Cloud to enable the gruelling tasks. Thanks very much for the lectures and training labs. Very informative.
The part about tensorflow transform in the end is super rushed and not that clear, other than that the course is well made and clear in its instructions and very recommended!
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После регистрации на курс и начала сессии вы получаете доступ ко всем видео и другим ресурсам курса, включая материалы для самостоятельного изучения и форумы обсуждений. Вы сможете выполнять тренировочные, а также сдавать обязательные оцениваемые задания и получить сертификат о прохождении курса.
Когда я получу сертификат о прохождении курса?
Если вы успешного пройдете курс, на странице ваших достижений появится электронный сертификат, который можно распечатать или прикрепить к профилю LinkedIn.
Почему я не могу прослушать этот курс?
Это один из немногих курсов на Coursera, которые предоставляются только на платной основе.
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Last Updated: September 1, 2015
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