Data Science Interview Prep

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Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Check out this high-level overview into the Hadoop ecosystem! Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Check out one of our popular past episodes on the classic, Word2Vec! Want to support us? Become a premium subscriber to The Data Science Interview Prep Podcast: https://podcasters.spotify.com/pod/show/data-science-interview/subscribe

Enjoy our content? Support us as a premium subscriber to the Data Science Interview Prep Podcast. Your contribution keeps us going! Subscribe and join our journey! Spotify: ⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠ 

We're adding applied topics to our episode roster - let us know what you think in the comments. In this episode, we discuss how to apply data science to customer segmentation. Become a Paid Subscriber to access our full library on Spotify: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ 

Reinforcement learning is all around us - from playing Go to building robots. To unlock this episode, become a premium subscriber today! Become a Paid Subscriber for access to the full Data Science Interview Prep Podcast library: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠

Let's jump into statistics and understand how we can ensure our results are truly significant! Become a Paid Subscriber for access to the full Data Science Interview Prep Podcast library: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Are you interviewing to become a Product Data Scientist? Or are you looking to understand associations between your data? If so, make sure to understand Chi-Square, a fundamental statistical topic. Become a Paid Subscriber for access to the full Data Science Interview Prep Podcast library: ⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Mock Interview II. Become a Paid Subscriber to The Data Science Interview Prep Podcast for access to our full library: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Brush up on your knowledge about maximum likelihood estimation, which is important to know in Data Science and Statistics! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠⁠⁠Patreon⁠⁠⁠⁠ ($5 donation) or ⁠⁠⁠⁠Spotify⁠⁠⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

A Markov chain is known as a stochastic model which describes some sequence of possible events in which the probability of each event depends only on the state from the previous event. Markov chains are used widely in our modern world in many modelling scenarios, so it's certainly helpful to know this as your refresh on topics for a Data Science interview. Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠⁠Patreon⁠⁠ ($5 donation) or ⁠⁠Spotify⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Knowing about GANs in deep learning is crucial to understand since they can generate new and realistic data! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Multicollinearity is a concept that comes up quite frequently in Data Science interviews in my experience, so make sure you take some time to review these concepts before your next technical! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy The Data Science Interview Prep Podcast, please consider becoming a premium member on either ⁠⁠Patreon⁠⁠ ($5 donation) or ⁠⁠Spotify⁠⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

If you're new to the world of data, you might be curious about what role is right for you - Data Scientist, Analyst, or Machine Learning Engineer. This bonus episode deviates from our usual content to help you get a rough picture of the differences (and similarities) between these roles. Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy The Data Science Interview Prep Podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!

Activation functions are an important part of neural networks, so knowing them helps you build smarter models! Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠⁠⁠⁠⁠⁠⁠ ----------------------------------------------------------- If you enjoy our podcast, please consider becoming a premium member on either ⁠Patreon⁠ ($5 donation) or ⁠Spotify⁠ ($2.99 donation). Your donation goes directly to supporting this channel and the human labor that goes into each of these episodes. For each episode, we do research and fact-check our content to make sure that you get the best information possible, even on cutting edge topics. Become a Paid Subscriber: ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ Becoming a premium member also gives you access to our locked episodes, which include helpful content such as: - NLP - Deep Learning - Recurrent Neural Networks - Imbalanced Data - The Bias-Variance Tradeoff - Transformers in NLP - Self-Attention in NLP - Distributions - Statistics - A/B Testing - ROC-AUC .... and so much more!