Sponsored Put up
Machine Studying (ML) has quickly turn out to be an important instrument for companies seeking to leverage knowledge and drive progress. Nonetheless, successfully implementing and managing ML initiatives may be difficult, with many pitfalls to keep away from. Chip Huyen’s new interactive course shares frameworks, case research and dwell coding/infrastructure examples to assist your group keep away from these pitfalls and efficiently leverage ML.
Chip has constructed ML programs at Nvidia, Netflix, and Snorkel AI, amongst others, and wrote the Amazon bestseller ‘Designing Machine Studying Methods’. She additionally teaches a course at Stanford on the identical subject, honing her curriculum to go well with innovative enterprise wants.
You’ll be joined by a choose group of engineers and scientists from main organizations and enterprises. Collectively you’ll reply the next questions:
What’s one of the best ways to plan and handle the totally different elements of an ML system + its stakeholders?
How do you design your supporting knowledge programs,characteristic framework and ML Ops infrastructure to be dependable and versatile sufficient to iterate rapidly and permit for experimentation?
How do you establish probably the most impactful initiatives to enhance your mannequin metrics? Enhance the mannequin, enhance the info high quality or amount, or enhance the characteristic engineering?
Apply to Be part of the Course Right here
