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!