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.
188 articles from this blog
Explores adapting Agile/Scrum frameworks for data science teams, covering effective practices and necessary adjustments for the unique challenges of data science work.
Analyzes how Agile methodologies like Scrum can be applied to data science teams, highlighting effective practices and inherent challenges.
A summary of a panel discussion on various data roles (data scientist, ML engineer, etc.), including key skills and career insights.
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.
