The hottest Domain Knowledge Substack posts right now

And their main takeaways
Category
Top Health & Wellness Topics

TBM 338: 4 Core Product OS Design Competencies

The Beautiful Mess • 647 implied HN points • 04 Feb 25
💼 Business Operations Leadership Product Design Systems Thinking Domain Knowledge
  1. Good leadership is key for a product team's success. Leaders need to support and influence their teams effectively, helping them navigate challenges without adding to their stress.
  2. Having the right experience matters. People should understand the product work deeply, as it helps them make better decisions and recognize what needs to be automated or done manually.
  3. Being skilled in operations and systems thinking is important. This means knowing how to manage workflows, map needs, and ensure that the right tools are in place for an efficient process.

Book Launch: ML for Science 🐦‍⬛

Mindful Modeler • 499 implied HN points • 06 Feb 24
🔬 Science Machine Learning Philosophy of science Interpretability Causality Domain Knowledge
  1. The book discusses the justification and strengths of using machine learning in science, emphasizing prediction and adaptation to data
  2. Machine learning lacks inherent transparency and causal understanding, but tools like interpretability and causality modeling can enhance its utility in research
  3. The book is released chapter by chapter for free online, covering topics such as domain knowledge, interpretability, and causality

But have you considered writing your own evaluation metric?

Mindful Modeler • 299 implied HN points • 21 Nov 23
🕹 Technology Machine Learning Evaluation Metrics Customization Domain Knowledge Model optimization
  1. Consider writing your own evaluation metric in machine learning to better align with your specific goals and domain knowledge.
  2. Off-the-shelf metrics like mean squared error come with assumptions that may not always fit your model's needs, so customizing metrics can be beneficial.
  3. Communication with domain experts and incorporating domain knowledge into evaluation metrics can lead to more effective model performance assessments.

Hacking Famine and Eating Caviar- A look at love for for Tech's Revolutionary Garbage[Finance Fridays]

Technology Made Simple • 159 implied HN points • 26 Aug 23
🕹 Technology Startups Innovation VC Funding Domain Knowledge
  1. Startups in the tech industry often focus more on appearances and moral high ground rather than creating sustainable, impactful solutions. This can lead to overpromising and underdelivering.
  2. Many tech startups lack deep domain knowledge, causing their innovative ideas to fall apart when faced with the complexities of different industries. Without a deep understanding of the field, disruption is difficult.
  3. To truly address real-world challenges, tech solutions must be approached with humility and an understanding that technology alone cannot solve deep systemic issues. It should be seen as a tool, not a be-all-end-all solution.

Large Language Models for Clinical Applications: Part 1

m3 | music, medicine, machine learning • 2 HN points • 11 Apr 23
🏥 Health & Wellness Domain Knowledge
  1. Understanding the clinical context is crucial for implementing Large Language Models effectively in clinical applications.
  2. Large Language Models can enable more nuanced clinical decision-making algorithms by capturing complex patient data.
  3. Incorporating domain-specific knowledge is essential for maximizing the benefits of Large Language Models in the clinical domain.
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