A field guide for ML scientists working in genomics. How is genomics similar to NLP, and how is it different? This post covers a molecular biology primer, some biological context that makes genomics data different from text, some widely-used genomics datasets, and some popular genomics AI models.
A description of the tech stack behind joseph-rich.com. Writing blog posts is as simple as writing a markdown file and pushing to GitHub. Everything else is automated: site generation and deployment, notebook testing, and CI/CD.
A field guide for ML scientists working in genomics. How is genomics similar to NLP, and how is it different? This post covers a molecular biology primer, some biological context that makes genomics data different from text, some widely-used genomics datasets, and some popular genomics AI models.
A field guide for ML scientists moving into radiology: what is genuinely easier than natural images, where computer-vision intuitions misfire, the data and labels you can actually get, how the FDA regulates these models, and why the model in the paper is rarely the one that ships.
A field guide for ML scientists working in genomics. How is genomics similar to NLP, and how is it different? This post covers a molecular biology primer, some biological context that makes genomics data different from text, some widely-used genomics datasets, and some popular genomics AI models.
A field guide for ML scientists working in genomics. How is genomics similar to NLP, and how is it different? This post covers a molecular biology primer, some biological context that makes genomics data different from text, some widely-used genomics datasets, and some popular genomics AI models.
A field guide for ML scientists moving into radiology: what is genuinely easier than natural images, where computer-vision intuitions misfire, the data and labels you can actually get, how the FDA regulates these models, and why the model in the paper is rarely the one that ships.
A field guide for ML scientists moving into radiology: what is genuinely easier than natural images, where computer-vision intuitions misfire, the data and labels you can actually get, how the FDA regulates these models, and why the model in the paper is rarely the one that ships.
A field guide for ML scientists working in genomics. How is genomics similar to NLP, and how is it different? This post covers a molecular biology primer, some biological context that makes genomics data different from text, some widely-used genomics datasets, and some popular genomics AI models.
A description of the tech stack behind joseph-rich.com. Writing blog posts is as simple as writing a markdown file and pushing to GitHub. Everything else is automated: site generation and deployment, notebook testing, and CI/CD.
A field guide for ML scientists moving into radiology: what is genuinely easier than natural images, where computer-vision intuitions misfire, the data and labels you can actually get, how the FDA regulates these models, and why the model in the paper is rarely the one that ships.
A description of the tech stack behind joseph-rich.com. Writing blog posts is as simple as writing a markdown file and pushing to GitHub. Everything else is automated: site generation and deployment, notebook testing, and CI/CD.
A description of the tech stack behind joseph-rich.com. Writing blog posts is as simple as writing a markdown file and pushing to GitHub. Everything else is automated: site generation and deployment, notebook testing, and CI/CD.
A field guide for ML scientists working in genomics. How is genomics similar to NLP, and how is it different? This post covers a molecular biology primer, some biological context that makes genomics data different from text, some widely-used genomics datasets, and some popular genomics AI models.