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Stashed ideas

15 STASHED IDEAS

CHRIS MCCHESNEY

Nothing is more motivating than belonging to a team of people who know the goal and are determined to get there.

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You have to be able to say NO

You have to be able to pick your shots. And if success doesn’t earn you the right to say NO, what kind of success is it? If you’re not strong or free enough to pass on things, are you really that strong or free? In fact, really caring about your work is a great reason to need to be able to say NO to stuff.

Just because you’re offered something that might be good for your career, that would feel good to your ego, that most people would have said YES to, doesn’t mean you have to listen to your ego and accept the offer. You can say NO. It’s easy to forget that, especially with peer pressure and FOMO, but it’s true. Saying NO is a rich feeling that’s only tangentially related to money.

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While the model is trained and tuned using the training and validation data set, the model will behave differently when used in the real world, which is fine.

The main objective is to minimise the change in model behaviour when it is deployed. Three data sets are used when experiments are carried out: training, validation, and testing.

  • If the model performs poorly on the training data, select a better algorithm, increase data quality, or feed more data into the model.
  • If the model does not perform well on testing data, the model may not extend the algorithm, and more data needs to be added.

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