We are trying out a different format in this episode. Nima gave me a topic, which is Central Limit Theorem. I spent an hour learning about it. And then we have a little chat. You will hear why we are doing this in the episode. And if you like this format, please send us an email at hello [at] nds.show . That helps us decide if we are going to make more episodes like this in the future.Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar....
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We are trying out a different format in this episode. Nima gave me a topic, which is Central Limit Theorem. I spent an hour learning about it. And then we have a little chat. You will hear why we are doing this in the episode. And if you like this format, please send us an email at hello [at] nds.show . That helps us decide if we are going to make more episodes like this in the future.Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar....
25 - The incomplete guide to cognitive biases in data science work
Naked Data Science
32 minutes
5 years ago
25 - The incomplete guide to cognitive biases in data science work
There were cognitive biases in the data science work you did. And there will be more cognitive biases in all the future work you will ever do. They are just part of being human. But if you don't pay attention to HOW these cognitive biases affect your work, you can easily waste weeks if not months chasing after the wrong things. In this episode, we will talk about some common cognitive biases that affect the data science work, and how you can deal with them. BTW, if you are not a data sci...
Naked Data Science
We are trying out a different format in this episode. Nima gave me a topic, which is Central Limit Theorem. I spent an hour learning about it. And then we have a little chat. You will hear why we are doing this in the episode. And if you like this format, please send us an email at hello [at] nds.show . That helps us decide if we are going to make more episodes like this in the future.Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar....
