Eugene Yan is a Principal Applied Scientist at Amazon, building AI-powered recommendation systems and experiences. He shares insights on RecSys, LLMs, and applied machine learning, while mentoring and investing in ML startups.
185 articles from this blog
A review and tips for the challenging OMSCS CS6601 Artificial Intelligence course, covering its content, workload, and personal experience.
A panel discussion exploring whether Agile methodologies can be effectively applied to data science projects, featuring insights from industry experts.
A review and tips for the OMSCS CS6460 Education Technology course, covering its unique project-based structure and lack of traditional curriculum.
A review and tips for Georgia Tech's OMSCS CS7642 Reinforcement Learning course, covering workload, projects, and key learnings.
A data science leader shares challenges of scaling a data science team at Lazada, focusing on balancing business input with ML automation.
A data science VP shares how Lazada uses machine learning for e-commerce, including automated review classification and product ranking.
A review and tips for the OMSCS CS7641 Machine Learning course, covering assignments, exams, and workload.
A Data Science Lead shares key lessons from their first 100 days in a leadership role, focusing on mindset shifts, team alignment, and management practices.
A data science professional shares insights on what data analytics is and how to enter the field, aimed at university students.
A review and tips for Georgia Tech's OMSCS CS6300 Software Development Process course, covering projects, assignments, and learning outcomes.
A data scientist shares his career journey from psychology to Lazada, debunks common myths about the field, and offers practical advice for aspiring practitioners.
A guest lecture summary on starting a data science career, based on a talk for SMU's Masters in IT students.
A practical guide outlining essential tools, skills, and practice methods for beginners to start a career in data science.
A review and tips for Georgia Tech's OMSCS CS6476 Computer Vision course, covering content, assignments, and personal experience.
Explores how fostering a culture of experimentation and tolerance for failure enables data science teams to innovate successfully.
Final part of a series on building a product classification API, covering the creation of a custom Python class and web app for categorizing product titles.
A developer builds and explains a reverse image search API for finding similar products, detailing its implementation and challenges.
Part 2 of a series on building a product classification API, focusing on data cleaning, preparation, and measuring data purity for machine learning.
A presentation on Lazada's machine learning framework for ranking products in catalog and search results to improve user experience.
Announcing the launch of a product image classification API for fashion, built with deep learning, with details on performance and usage.
