machine learning

• 2024-08-25: Dissecting the ESM3 Model Architecture
• 2024-08-09: A survey of how to use protein language models for protein design: Part 3
• 2024-08-02: A survey of how to use protein language models for protein design: Part 2
• 2024-06-08: The Neural Von Mises Mixture Model
• 2024-05-12: Paper Review: Design of highly functional genome editors by modeling the universe of CRISPR-Cas sequences
• 2024-03-10: Mixtral-8x7b-Instruct works on an old GTX1080!
• 2024-02-25: How to keep sharp with technical skills as a data science team lead
• 2024-02-18: Dashboard-ready data is often machine learning-ready data
• 2023-11-19: Zephyr vs. GPT4: What's your verdict?
• 2023-10-10: When to write tests for your data science code
• 2023-09-09: Article Review: 4 Skills the Next Generation of Data Scientists Needs to Develop
• 2023-09-06: Interviewing Data Science Candidates with Code Reviews
• 2023-08-07: Journal Club: Differentiable Search of Evolutionary Trees
• 2023-07-24: Climbing the Tech Ladder or Staying Grounded? A Guide to Navigating Data Science Innovations
• 2023-06-20: Automatically write awesome commit messages
• 2023-05-13: How to Craft Stellar Pull Request Summaries with GPT-4
• 2023-02-05: Building a Translation App with GPT-3: The Story Behind My Creation
• 2021-09-12: Machine-Directed Evolution
• 2021-03-01: Machine learning system design
• 2020-06-09: With what symbols do you write thermodynamic equations?
• 2019-03-24: Variance Explained
• 2018-06-05: My Latent Dissatisfaction with Modern ML
• 2018-05-06: Model Baselines Are Important
• 2017-10-27: Random Forests: A Good Default Model?
• 2016-06-16: Boston Area Antibiotic Resistance Network (BAARN) Meeting 2016