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A Five-Step Roadmap for Machine Learning Engineer Careers
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Manage episode 446039412 series 3605861
Το περιεχόμενο παρέχεται από το Brian Carter. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Brian Carter ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
The first source is a blog post by Max Mynter, a machine learning engineer, outlining a five-to-seven step roadmap for becoming a machine learning engineer. The post emphasizes the importance of both software engineering and data science skills alongside mathematics and domain knowledge. It then offers concrete resources, including courses and books, for learners to acquire these skills. The second source is a Wikipedia article on machine learning, a field of artificial intelligence that focuses on algorithms that learn from data and generalize to unseen data. The article covers the history of machine learning, its relationship to other fields, its applications, and its limitations, including biases and the "black box" problem.
Read Max's post: https://www.maxmynter.com/pages/blog/become-mle
MLE on Wikipedia: https://en.wikipedia.org/wiki/Machine_learning
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