Tag: machine-learning

According to Warren Buffett, "you only know who is swimming naked when the tide goes out." The same is true for AI. The current AI tide is high, but what will happen when the tide goes out? In this post, I will share some of my thoughts on the future of AI.

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This is my first quarter review for 2023, which reviews my progress on my goals for the year and share some of my thoughts on the quarter.

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Not many models balance complexity and effectiveness as well as LDA. I like this model so much as it is perhaps the best model to start with when you want to learn about machine learning and deep learning models. Why? I will explain in this post.

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