The Third Lesson From Upcoming Course on Real-World ML
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Published 2023-12-07
All Comments (9)
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Love this series. Sets things to a level even a jag-off like me can comprehend. You have a great teaching method.
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Do not stop doing what you love, you are very good at ti!
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Thanks Mike. The path gets clearer and clearer with this vids and logikbot. Much is appreciated bro.
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love the vid, sent it to one of my business partners who has been looking into some ml development for our financial trading models. I cannot stress enough the importance of having a grounded and realistic view on ml development, and properly defining the problem and plans, sources of data, data itself, etc so the devs aren't left scratching their head before a deadline lol
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Got a new follower... Awesome content!!
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Thanks Mike, huge fan here. Got a question for you: is SQL experience === DA experience? I'm an IT internal auditor who uses SQL heavily to support our audit findings. While our queries could be get quite complex - especially when it comes to suspicious transactions anaylsis - I don't work with KPIs and BIs at all. In your opinion, does it count towards data experience? Is this experience sufficient to be in the so called short-cut role?
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Love all your work, such great insights and thanks to you and your tips I was able to get a position as a Visual Analyst. Would you consider that a data role? I use Power BI and Tableau for visualization, but SPSS and Excel for managing data (market research) Thank you!
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One of my friends got a job as a deep learning engineer as a fresher. is that the 10% you are talking about? it wasn't in USA though. What's your thoughts on someone just focused on deep learning libraries never learnt SQL and just targets these DL companies?