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Learn AI: Computer Vision, NLP, Tabular Data - build powerful models with Google AutoML & Apple CreateML
It is good because I feel involved in this item because I studied a Master about data mining
Conceptos interesantes y claros, pero...
Los conjuntos de datos proporcionados para los "laboratorios" (en Mac) están incompletos (Sin carpetas diferenciadas de entrenamiento "train" y validación "test", sin ficheros de configuración .csv, .json) y por lo tanto no se pueden hacer de forma sencilla, sin trabajo adicional por parte del alumno.
Los enlaces a la plataforma aibrain no funcionan.
Parece una formación que quiera que subas ideas a su plataforma.
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Interesting and clear concepts, but...
The data sets provided for the "labs" (on Mac) are incomplete (no separate training "train" and validation "test" folders, no .csv, .json configuration files) and therefore cannot be done easily, without additional work by the student.
The links to the aibrain platform do not work.
It seems like a training that wants you to upload ideas to its platform.
Learn new things but little confusing
Excellent course I learned a lot about Machine Learning and am now considering taking more courses in ML
very detailed explanation about the core concept.
Yes, the course was educative and enlightening.
Thanks.
The course is great, with a structured concepts. Why the learner as to wait for his/her certification for other's to verify, can the course administrator do this. There has to be someone to give feedback for our projects. It would be really helpful, if we can have the certificates as soon as possible,
The course materials were well-organized and easy to follow.
It touch the most important AUTOML caracteristics.
good Course
It is very helpful by making it systematically easy to understand even for beginners. Thank you for the good lecture.
It’s helpful to attend a lecture with a clear concept. I think it’s a great lecture.
