“The goal is to turn data into information, and information into insight.”
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Similar ideas to CARLY FIORINA
How much data is enough. 100, 1000, 10000?
Underfitting is when the model is too simplified to know the base structure of data. It has too little information to construct an accurate training model.
Overfitting is where researchers overgeneralise an...
Raw data is unusable, while processed data is key to driving business decisions.
Habit apps can work, but only if you actively monitor the data from the app each day and use it to analyze how you can change: if you actually use the device and take its data and turn that data into knowledge, then it can actually improve your odds of changing.
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