Comments (4)
I'd like to take this on. Can you provide some details on the issue please?
from dive-into-machine-learning.
Just review the existing document and find a reasonable place to add the link and a sentence or so 'pitching' it. Somewhere in 'Assorted Opinions and Other Resources' probably makes sense. Maybe the 'Deep Learning' subsection because distill.pub is mostly concerned with that subfield so far.
from dive-into-machine-learning.
Hi, I submitted a pull request with this addition to the README.md file. It's my first pull request, so let me know if there's any comments/concerns.
from dive-into-machine-learning.
Thank you @jldohmann and @sharad-vm
from dive-into-machine-learning.
Related Issues (20)
- section on timeseries DBs and tsfresh (automated feature extraction)
- add link to 'Dive into Deep Learning' HOT 1
- replace creative.ai like with CADL link
- pandas docs should point to latest
- braindump HOT 8
- Add link to Hands-On ML by @ageron HOT 2
- Add link to notebook collections by @trekhleb HOT 2
- Add link - "So You Want to Build an Ethical Algorithm..." (2017) HOT 1
- Add links to ines/spacy-course, exposion/thinc, spaCy NLP workflows
- add link that is pretty exciting - labmlai/annotated_deep_learning_paper_implementations HOT 1
- braindump re: IDE, editors - setup/config, notes on Jupyter plugins or integrations
- I would like to better emphasize MLOps, but without overwhelming beginners HOT 3
- add links to Lj Miranda's "Navigating the ML Ops Tooling Landscape" and Jupyter-tooling landscape posts. HOT 1
- add link to "How to share data with a statistician" HOT 1
- Chore: Automate broken link checking in the doc.
- Update the section about places to share work HOT 1
- add link to OSSU/data-science
- Datasette HOT 1
- Add link to Dan Nguyen's journalism-syllabi repository HOT 3
- Off
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from dive-into-machine-learning.