Data Science Interview Prep

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...

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 t...

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 ⁠Patreo...

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/da...

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 ⁠Patr...

Mastering the Central Limit Theorem in data science interviews helps you shine with solid statistical prowess! Make sure you brush up on this common statistical concept before your next interview. Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠ ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ ⁠⁠⁠⁠⁠⁠ ---------------------------------------------------------...

CI/CD in Data Science and ML helps get models from idea to deployment faster and with fewer errors! If you're interested in production ML, be sure to check out this episode for high-level overview into CI/CD. Become a Paid Subscriber for access to our full library: ⁠⁠⁠⁠⁠⁠ ⁠https://podcasters.spotify.com/pod/show/data-science-interview/subscribe⁠ ⁠⁠⁠⁠⁠⁠ -----------------------------------------...

As a data scientist, knowing about multi-armed bandits is pretty handy because they're a go-to tool for optimizing decisions with limited resources! 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...

K-Nearest Neighbours is a common classification algorithm in machine learning. Be sure to refresh your knowledge on this model in your interview prep journey! ----------------------------------------------------------- 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 c...

The Naïve Bayes Classifier can often come up in data science interviews. Be sure to brush up on this model if you're interested in classification! If you're enjoying our podcast, please consider rating us or joining our paid membership. Thank you and happy modelling!

Word2Vec is a must-know if you're interested in Natural Language Processing (NLP) or preparing for any entry-level NLP roles. If you find our episodes helpful, we would really appreciate if you would consider becoming a paid member of our channel to support our growth. 

Time complexity is an important concept to know for data science interviews because it can be used to evaluate the efficiency of an algorithm and the scalability of a solution. You never know when you might need this bit of knowledge, either on the job or at an interview!

In today's episode, we'll be discussing regularization, an important technique used to prevent overfitting in machine learning models. If you find these episodes helpful, please consider supporting us on Patreon at patreon.com/user?u=84843123 . Your support will help us continue to produce these episodes and improve the show. Thanks for listening!

In this episode, we will provide a high-level overview of cross-validation in machine learning. This concept is fundamental to understanding how to build effective machine learning models, and it is often covered in data science interviews. If you find these episodes helpful, please consider supporting us on Patreon at patreon.com/user?u=84843123 . Your support will help us continue to produce the...