“Machine Learning Q and AI” Author Interview and Reading Notes

📚 Some people may know that I host a DS/ML book club where we read one book per month. This month, we read ‘Machine Learning Q and AI’ by the esteemed Sebastian Raschka. He’s known for his expertise in ML/AI and is one of the most technical authors I’ve come across.

The book covers 30 important ML/AI questions, offering a high-level understanding of complex technical concepts without delving into code implementations. Personally, I must admit that this book has become one of my all-time favorite ML/AI reads. I recommend it to anyone in the ML/AI field; it’s a must-read.

In this blog post, I’d like to share the super insightful interview we had with the author and my reading notes for those who are interested in this book.

🔗 Book link: https://leanpub.com/machine-learning-q-and-ai

Author Interview

Our DS/ML book club had a wonderful time chatting with Sebastian about this book. Here are some highlights from our discussion:

• Lottery Ticket Hypothesis: How a small, sparsely-connected subnetwork within a larger neural network achieves comparable performance.
• Parallelism in Deep…