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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Data hackathon winners leverage pre-trained models and APIs for efficiency
Eugene Yan, a mentor and judge at Hacklytics 2021, observed that winning teams in the datathon prioritized using readily available datasets and APIs over time-consuming data scraping. Many successful teams leveraged pre…
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Eugene Yan: MOOCs offer diminishing returns; real learning comes from doing
Eugene Yan argues that while Massive Open Online Courses (MOOCs) can be useful for initial learning, they often lead to diminishing returns and can even become a form of procrastination. He suggests that true learning, …
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Eugene Yan discusses the importance of writing in tech careers
Eugene Yan, an Applied Scientist at Amazon, discussed the significance of writing in a tech career on the DataTalks.Club podcast. He shared his personal journey, starting from a Psychology degree and transitioning into …
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Eugene Yan shares 2021 goals for writing, mentoring, and personal growth
Eugene Yan, an applied scientist, shared his 2021 personal roadmap focused on writing, speaking, mentoring, and personal growth. He aimed to publish 48 posts, give 4 talks, and receive 100 helpful feedback instances. Ya…
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Eugene Yan reflects on Amazon role and prolific writing in 2020
Eugene Yan's 2020 retrospective details his move to Seattle for a new role at Amazon, where he builds recommender and machine learning systems. He emphasizes learning to scale himself through documentation, system desig…
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Eugene Yan uses flying dagger analogy to explain learning from challenges
Eugene Yan's essay uses the metaphor of catching flying daggers to illustrate the process of learning and skill acquisition. The narrative depicts an apprentice who initially avoids challenges but eventually learns to c…
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Eugene Yan shares his personal process for reflecting on the past year and planning for the next.
Eugene Yan outlines his personal and professional reflection and planning process for the transition from 2020 to 2021. He emphasizes pruning to-do lists, archiving unread articles, and evaluating recurring obligations …
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Eugene Yan shares 7 life lessons inspired by machine learning concepts
Eugene Yan draws parallels between machine learning concepts and life lessons, emphasizing the importance of data cleaning and filtering inputs like food, content, and relationships. He highlights the need to actively s…
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Data scientists can avoid role mismatches by carefully vetting job descriptions and interview questions.
Eugene Yan's article advises data science professionals on how to navigate potential mismatches between their job title and actual responsibilities. He suggests carefully reviewing job descriptions, asking targeted ques…
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Data Science Roles Diversify: From Generalist to Specialist ML Engineers
The role of a data scientist, once lauded as the "sexiest job of the 21st century," has significantly evolved and specialized over the past decade. This evolution has led to the emergence of distinct roles such as appli…
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Chip Huyen: From Stanford Rejection to ML Production Leadership
Eugene Yan interviewed Chip Huyen, a computer scientist and writer focused on bringing machine learning research into production. Huyen shared her journey from a small village, overcoming challenges like not learning En…
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Data discovery platforms help teams find and understand data faster
Data discovery platforms are crucial tools for organizations to efficiently locate and understand their data assets. These platforms catalog data entities, metadata, and lineage, enabling users to answer questions about…
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Why I switched from Netlify back to GitHub Pages
Eugene Yan detailed his blog's architecture, which relies on Jekyll for content generation and GitHub Pages for hosting, offering a free and straightforward setup. He also shared his experience switching from Netlify ba…
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Data science portfolios demonstrate more than technical skills, showing learning, purpose, and enjoyment.
Eugene Yan's article explores the motivations behind building a data science portfolio, moving beyond the common focus on "how" to delve into the "why" and "what." The piece argues that while job acquisition is a primar…
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Eugene Yan details Mac installation of Google's ScaNN for vector search
Eugene Yan has published a guide detailing the process of installing Google's Scalable Nearest Neighbors (ScaNN) library on a Mac operating system. The guide addresses the complexities encountered during installation, p…
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Senior tech roles demand strong writing skills for communication and strategic guidance
As professionals advance in technical careers, the importance of writing skills increases relative to coding. Senior roles require communicating context, strategic vision, and lessons learned to guide teams effectively.…
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Eugene Yan recaps RecSys conferences, highlighting AI advancements in recommendation systems.
Eugene Yan's RecSys 2022 recap highlights a significant increase in industry submissions and a focus on algorithmic advancements and real-world applications. Key papers explored efficient training for sequential recomme…
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Author reflects on life's value, finding appreciation in the present moment despite hardships.
Eugene Yan's essay reflects on the concept of appreciating the present moment by contrasting it with the idea of absolute nothingness. He posits that even with life's discomforts and challenges, the experience of existe…
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Productivity expert shares coffee-fueled routines for optimizing daily tasks
Susan Shu, a highly productive individual balancing a full-time job, postgraduate studies, and a side business, shares her strategies for optimizing her day. Her routine emphasizes simple yet effective tools and habits,…
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Eugene Yan shares productivity system using tools and routines
Eugene Yan shares a personal system for maximizing productivity, developed while pursuing a Master's degree in Computer Science at Georgia Tech alongside a full-time job. His approach combines specific tools and routine…