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A Five-Step Roadmap for Machine Learning Engineer Careers
Manage episode 446039412 series 3605861
محتوای ارائه شده توسط Brian Carter. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Brian Carter یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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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