))
A Five-Step Roadmap for Machine Learning Engineer Careers
Fetch error
Hmmm there seems to be a problem fetching this series right now.
Last successful fetch was on November 09, 2024 13:09 (
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 446039412 series 3605861
เนื้อหาจัดทำโดย Brian Carter เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Brian Carter หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.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
71 ตอน
แบ่งปัน
