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Why he quit a $500k+ machine learning job at Meta (Facebook): a candid review of his experience, mistakes, and ML best practices - Damien Benveniste - the data scientist show049
The Data Scientist Show
Machine Learning Is a Great Place for You to Be
If you don't really caret much about like a deep learning, much learning system, and you're more interested in solving business problem, learn all the different tools. You can still be a great data scientist. And you don't always have to definitively ai visvism,. Like i always see, like, ae misunderstanding for example, that the scientist is like a promotion from a data analyst in time of job. But b i in general, if you look across companies, is much more valuable to understand the states of your data, or the states of things by looking at some graFPs rather than machine learning.
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