# \#7 PyTorch Book Thread: Sunday, 10th Oct 8AM PT

**URL:** <https://community.wandb.ai/t/7-pytorch-book-thread-sunday-10th-oct-8am-pt/874>\
**Category:** PyTorch Book Reading Group\
**Created:** [October 6, 2021, 12:25pm UTC](https://community.wandb.ai/t/7-pytorch-book-thread-sunday-10th-oct-8am-pt/874 "2021-10-06T12:25:09Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![bhutanisanyam1](https://sea2.discourse-cdn.com/flex020/user_avatar/community.wandb.ai/bhutanisanyam1/32/18_2.png) [@bhutanisanyam1](https://community.wandb.ai/u/bhutanisanyam1)\
**Post date:** [October 10, 2021, 3:08pm UTC](https://community.wandb.ai/t/7-pytorch-book-thread-sunday-10th-oct-8am-pt/874/3 "2021-10-10T15:08:57Z")

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> [@Creating a Movie Recommender](https://community.wandb.ai/t/creating-a-movie-recommender/190):
>
> The last 2 weeks in the #community-events:fastbook reading group have taught me A LOT about collaborative filtering. I tried to build my own movie recommender and documented what I learned in the process in these posts: [Building a Movie Recommender - Part 1](https://ravimashru.dev/blog/2021-08-22-movie-recommender-part-1/)[Building a Movie Recommender - Part 2](https://ravimashru.dev/blog/2021-08-24-movie-recommender-part-2/) I’m planning to now convert this model into a usable web application. That would mean creating an API that returns recommendations using the model (using something like Flask or FastAPI), deploying it…

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