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!