Multi-Armed Bandits
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 lib...
9 Huhti 20236min
K-Nearest Neighbours
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! -----------------------------------------...
7 Huhti 20239min
Naïve Bayes Classifier
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 ratin...
18 Maalis 202310min
Word2Vec
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 ...
5 Maalis 20238min
Time Complexity
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...
16 Helmi 20236min
Regularization
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...
7 Tammi 20236min
Cross-validation
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 o...
7 Tammi 20235min
