35 episodes

The #1 podcast on applied data science. No fluff. Check out more mental models, practical tips, and inspirations that help you become great data scientists at http://nds.show

Naked Data Science Naked Data Science

    • Technology
    • 5.0 • 12 Ratings

The #1 podcast on applied data science. No fluff. Check out more mental models, practical tips, and inspirations that help you become great data scientists at http://nds.show

    Central Limit Theorem in Plain English

    Central Limit Theorem in Plain English

    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....

    • 38 min
    34 - What you need to know about politics as a data scientist

    34 - What you need to know about politics as a data scientist

    This is the episode where we are going to risk our career, our wellbeing, and all the professional reputations we have built over the years to talk about this ultra-sensitive taboo topic: office politics in data scienceSeriously though, we have seen many data scientists who don't want to hear or learn about politics. And as result, they often hit invisible walls in their careers and become very frustrated. That's why we are sharing some mental models we use to think about and deal with politi...

    • 27 min
    33 - Data scientist vs machine learning engineer - what you need to know

    33 - Data scientist vs machine learning engineer - what you need to know

    When we talk to people who want to transition into data science, we hear this question popping up more and more: what is the difference between a data scientist and a machine learning engineer, and which one should I choose? In this episode, we talk about why the separation between these two roles is ambiguous at best, why many people have switched between these roles, how we speculate the roles to evolve in the future, and some tips on how you can plan your career based on what we discu...

    • 23 min
    32 - So you want to become a data scientist at FAANG

    32 - So you want to become a data scientist at FAANG

    If you are a data scientist, or someone who wants to become a data scientist, chances are that you dream about joining a leading tech company, like Google, Facebook, and Amazon. However, depending on your situation and personality, that might not be the best career goal for you. In this rebroadcast episode, we will talk about the number one pitfall for highly specialized roles in those companies, some hidden reason why they publish a lot of papers, and why you shouldn't just ...

    • 22 min
    31 - The Big Bang theory of data science (rebroadcast)

    31 - The Big Bang theory of data science (rebroadcast)

    Having a Big Bang is one of the most common causes of data science project failures. And you probably have done it, at least a couple of times. In this episode, we will show you why it is often better to aim for sub-optimal solutions at the start of a project, and how you can avoid the Big Bang problem by following an ancient Japanese philosophy. By the way, we are rebroadcasting this episode because it is one of our favourite early episodes. And the content can be very valuable to our n...

    • 17 min
    30 - The One When Queries Beat Machine Learning

    30 - The One When Queries Beat Machine Learning

    Can you solve a data-intensive business problem with just queries? If so, what is the difference between data science and, say, data analytics? These are not just theoretical questions. The answers have a practical and significant impact on your daily work and well-being. In this episode, we will share a couple of mental models we use to think about these topics. Enjoy.BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demysti...

    • 14 min

Customer Reviews

5.0 out of 5
12 Ratings

12 Ratings

Rayhan Rahbaran ,

You, Nima & Haw are the most to the point people I’ve ever seen.

Thank you so much

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