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The productization of ChatGPT has set off another wave of AI fever in the world. This time, unlike AlphaGo, everyone can register for an account to play. In addition to text-generating AI, there is also image-generating AI that produces images that are indistinguishable from human works, and anyone can try it out for free. Even people who don’t know coding can easily use them, which will definitely affect the work of machine learning engineers, but I think machine learning engineers can…

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I have 6 years working experience as a machine learning engineer (though job title not exact “machine learning engineer”, but the responsibility is), started this role before the deep learning boom. My job is translate business problems into machine learning solvable problems and productionize the models with backend engineers. Sometimes, I also need to develop the data pipeline. I will share about the math that machine learning engineers need in this article.

5-Minute Read

930 words

When we talk about asset allocation, we refer to the distribution of funds across different types of assets, which have different risk and return. For example, stocks have high expected returns but also high risk, while government bonds are a low-risk asset with relatively low expected returns. In addition to stocks and bonds, commonly traded assets include gold, commodity futures, and real estate investment trusts (REITs). Here, we will analyze the advantages and disadvantages of various bond…

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