Review on DATAIKEN by Paul Lee

The ability to use prebuilt libraries or build custom ones for complex machine learning problems is what I like best of this toolkit; it's easy but at same time powerful enough! Some python APIs are quite tricky in how they work especially when you try them from browser without knowing about all dependencies involved that sometimes make things less straight forward - need proper documentation here (the one provided by Datakit team so far isn't always complete). DataScience workflow management system which can integrate different tools such as PyTorch, Pandas etc., into pipeline workflow using Apache Airflow DAGs makes implementing our ETL jobs more effective now ;-) I like the idea of Dataiku being able to scale up quickly. As they grow it will only get better and more cost effective! It's really hard to explain how a product can make your life easier but we've had great success using the platform. We're not sure if there is anything that could be improved, so far everything has been perfect! We are solving complex analytics problems in our industry. Being able to scale and deploy machine learning models that are highly accurate across multiple channels.