Eugene Yanayt
PulseAugur coverage of Eugene Yanayt — every cluster mentioning Eugene Yanayt across labs, papers, and developer communities, ranked by signal.
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Eugene Yan shares writing advice from David Perell and Sahil Lavingia
Eugene Yan's article distills advice from a workshop with David Perell and Sahil Lavingia on effective writing. Key takeaways include writing about topics that genuinely excite you, maintaining simplicity for clear comm…
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Hackathon judges favor simple, executable ideas over complex ones
Eugene Yan recounts his experience observing Lazada's 2017 hackathon, where a seemingly simple idea—adding notifications to the existing wish list feature—won over more complex and ambitious projects. The winning team i…
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Eugene Yan shares tips for delivering impactful data science talks
Eugene Yan's article provides guidance on delivering effective data science presentations, emphasizing the value of sharing personal experiences and lessons learned. He encourages speakers to discuss not only successes …
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Eugene Yan uses military roles to frame career choices in startups
Eugene Yan uses a military metaphor to describe career choices within product development and market exploration. He likens early-stage, high-risk ventures into unknown territories to 'commandos,' who establish initial …
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Eugene Yan advocates Zettelkasten for building connected notes
Eugene Yan advocates for the Zettelkasten method of note-taking, contrasting it with traditional approaches that result in scattered, disconnected ideas. He highlights the productivity of sociologist Niklas Luhmann, who…
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Eugene Yan shares a new approach to writing as learning, not just sharing
Eugene Yan proposes a new framework for writing that emphasizes learning and thinking, rather than just content creation. He suggests a process of reading, note-taking, and then writing, with note-taking serving as the …
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Eugene Yan details workflow for simpler ML experimentation with Jupyter, Papermill, and MLflow
Eugene Yan's article details a streamlined workflow for machine learning experimentation using Jupyter, Papermill, and MLflow. This approach avoids notebook duplication and manual tracking by parameterizing notebooks wi…
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Psychology grad leverages self-study to lead data science at Lazada
Eugene Yan, who holds a Psychology degree, shares his unconventional path to becoming a data science leader at Lazada. Despite lacking a traditional technical background, Yan leveraged self-learning through online cours…
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Eugene Yan and Practical AI discuss testing ML systems and code
Eugene Yan's article details a comprehensive approach to testing machine learning systems, differentiating between traditional software tests and ML-specific tests. ML tests are further categorized into pre-train tests …
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Eugene Yan enhances recommender systems using graph and NLP techniques
Eugene Yan's blog posts detail methods for building recommender systems that outperform baseline matrix factorization models. The approach involves using Natural Language Processing (NLP) techniques, specifically word2v…
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Eugene Yan discusses Asia's tech giants and SuperApp strategy at OLX keynote
Eugene Yan delivered a keynote at the OLX Group Product & Tech Conference in October 2019, focusing on the strategies of Asian tech giants and the SuperApp phenomenon. The presentation explored how companies like Alibab…
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Eugene Yan migrates personal blog from WordPress to Jekyll for free hosting
Eugene Yan details his migration from WordPress to Jekyll for his personal blog, aiming for free hosting on GitHub Pages. He notes the successful integration of features like LaTeX support, collapsables, and syntax high…
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Eugene Yan reviews OMSCS Machine Learning for Trading course, highlighting assignments and coding.
Eugene Yan shares his experience and insights from the OMSCS CS7646 (Machine Learning for Trading) course. He highlights the course's focus on sequential modeling and its applicability beyond financial markets, such as …
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Data scientists do more than just machine learning, says expert
Eugene Yan's article challenges the common perception of data scientists, arguing that the field is often misunderstood. Many believe deep technical skills, advanced math, and PhDs are essential, and that the primary ro…
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Eugene Yan details ML system for predicting hospital bills at Parkway Pantai
Eugene Yan presented a case study on how uCare.ai developed a machine learning system for Parkway Pantai Group, Southeast Asia's largest healthcare provider. This system estimates patient pre-admission costs, enhancing …
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Eugene Yan shares insights on recommender systems and data roles
Eugene Yan shared insights from two DataScience SG meetups, one focusing on recommender systems and another on various roles within the data field. The recommender systems talk explored baseline approaches and novel gra…
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ML research advances, system design patterns, and strategic problem selection explored
Eugene Yan's series of articles explores practical aspects of applying machine learning in real-world systems. He emphasizes starting projects with heuristics before implementing ML, the importance of design patterns fo…
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Eugene Yan explores Agile and Scrum frameworks for data science effectiveness
Eugene Yan's articles explore the application of Agile and Scrum frameworks within data science teams, highlighting both their benefits and challenges. While Agile's iterative approach, clear task definition, and feedba…
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Big Data & Analytics Summit - Data Science Challenges @ Lazada
Eugene Yan shared insights from his experience building and scaling a data science function at Lazada, highlighting three key challenges. These included determining the appropriate level of business input versus automat…
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Eugene Yan shares how Lazada leverages data science for e-commerce
Eugene Yan, VP of Data Science, recently spoke at INSEAD about Lazada's application of data science and machine learning in e-commerce. He highlighted two key use cases: automated user review classification, which signi…