A few weeks ago, we revealed how Dailymotion’s data scientists and data engineers collaborate to efficiently release into production, but how does this change impact our day-to-day life as data scientists? Does it offer enough flexibility to break the new in artificial intelligence? The answer is yes! Here are some pointers on how to conduct a project which fits our machine learning automation pipeline while tackling a technical issue, namely ingesting sparse inputs in Keras.
One of the challenges we face as a multinational company is having complete knowledge of our video catalog while being efficient both in terms of…
