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Naked Data Science

Naked Data Science

35 episodes

9 months ago

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....

Show more...

Episodes (20/35)

Naked Data Science

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....

3 years ago

38 minutes

Naked Data Science

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...

4 years ago

27 minutes

Naked Data Science

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...

4 years ago

23 minutes

Naked Data Science

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 ...

4 years ago

22 minutes

Naked Data Science

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...

4 years ago

17 minutes

Naked Data Science

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...

4 years ago

14 minutes

Naked Data Science

29 - Forget that you are doing data science

One of the reasons why we love data science so much is because of the amazing methods, techniques, and technologies we can use to solve different problems. However, if you only focus on these technical tools, you will fall into the biggest trap in doing data science. In this episode, we will show you why that is the case, and when you should forget that you are doing data science. BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We w...

4 years ago

10 minutes

Naked Data Science

28 - Solve data science problems like a detective

Data science is deeply rooted in scientific research and scientific thinking. However, applying data science is more like doing detective work, especially if you work in businesses. In this episode, we will talk about the huge difference it makes when you solve data science problems like a detective, and why you shouldn't just report common machine learning metrics. BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the tr...

4 years ago

12 minutes

Naked Data Science

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...

4 years ago

9 minutes

Naked Data Science

26 - Never scroll through your Jupyter notebook - and other tips on presenting data science work

If you are still scrolling through your Jupyter notebook when presenting your data science work, you are not giving your work the attention it deserves. And when I say it probably even limits your salary and career, it is not exaggerating. In this episode, we will show you why presenting is not window-dressing, but a key problem-solving skill in data science. We will give you seven practical tips and a presentation template that can drastically improve your next presentation. BTW, ...

4 years ago

25 minutes

Naked Data Science

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...

5 years ago

32 minutes

Naked Data Science

24 - How to find interesting data science work everywhere

What happens when you are not working on interesting work? It is boring, you feel stuck, and your skills and career stop developing. But it is also very bad for your company: they now have an employee who is not delivering good outcome while still requiring high effort to manage, So obviously, it would be great if you and your company can always find work that is interesting to you. In this episode, we are going to show you some simple ways to do exactly that.BTW, if you are not a data scient...

5 years ago

27 minutes

Naked Data Science

23 - AutoML in plain English

Unless you have been living in a cave in the past 2 years, you have heard of AutoML. And depending on where you have heard it from, it can be the best thing ever happened to data science, the evil invention that will put thousands of data scientists out of their jobs, or anything in between. In this episode, we talk about the state of the art AutoML, what is hype versus what is reality, how to think about it practically, and how you can get started with AutoML in your team. BTW, if you a...

5 years ago

38 minutes

Naked Data Science

22 - Practical ethics of AI, machine learning, and data science

What can you do about about the ethics of AI, Machine Learning, and other data science solutions in your daily work. Why it is important to think about implications first, not technologies. The four principles we use to address ethical challenges. Some practical ethic codes for data scientists.BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to bui...

5 years ago

29 minutes

Naked Data Science

21 - How to avoid these 9 mistakes in data science team communication

Why data science team communication is so difficult. Analytics Translator is not the solution. Role of PM in a data-intensive solution team. Why you shouldn't rely on everyone's notes. What to do when you receive a long text. When to put things in writing and when not to. Handling difficult conversations.BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective...

5 years ago

31 minutes

Naked Data Science

20 - Systems thinking in data science

Systems thinking to make sense of your data science work. The similarity between dead fishes and recommender systems. Effect of time and feedback loop on your models. Look beyond your dataset. Applying systems thinking to people and teams. How to change a system without breaking your back.BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build yo...

5 years ago

32 minutes

Naked Data Science

19 - How to fast-track your domain knowledge

How domain knowledge can supercharge your data science work. The half-life of truth at three levels of business domain knowledge. Why it is important to follow the money in data science work. Three ways to acquire new domain knowledge fast.BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four poss...

5 years ago

35 minutes

Naked Data Science

18 - The 7 habits of thinking in questions

How thinking in questions can help you communicate your work effectively, especially to non-data-scientists. Avoid getting lost when finding your path to a solution. Three reasons why you should always ask more questions when you hear a question. How to think like a detective. BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. A...

5 years ago

26 minutes

Naked Data Science

17 - The art of reinventing the wheel

How data science is done in three different types of organizations. Three common mistakes people make when borrowing ideas. How we created our own agile methodology. The importance of finding your own answer.BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go ...

5 years ago

26 minutes

Naked Data Science

16 - There will be errors

The three types of errors in data science and how to deal with them. Why intelligent people make mistakes. How not to surprise yourself by errors you knew. The art of not making errors personal. The importance of thinking and talking trade-offs instead of errors. BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will adv...

5 years ago

27 minutes