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....
27 - Does your project even need machine learning?
Naked Data Science
9 minutes
4 years ago
27 - Does your project even need machine learning?
When most people think about data science, they have some sort of Machine Learning in mind. But the truth is many data-intensive problems don't need Machine Learning, even in big tech companies like FAANG. In this episode, Nima will share the reasons why he went from a researcher in Machine Learning to become a data-driven problem solver and give a couple of tips on how you can make that transformation too. BTW, if you are not a data scientist yet, but want to become one, you should real...
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....
