Discussions not found
Sorry, we couldn't find anything for https://medium.com/@alexgulakov/200-links-for-must-reads-on-machine-learning-in-2023-def28906aa65.
See some search examples.
Linked pages
- daedalOS https://dustinbrett.com/ 804 comments
- Quick, Draw! https://quickdraw.withgoogle.com/ 390 comments
- AWS Tips I Wish I'd Known Before I Started - W(e)blinks https://wblinks.com/notes/aws-tips-i-wish-id-known-before-i-started/ 367 comments
- WebGazer.js: Democratizing Webcam Eye Tracking on the Browser https://webgazer.cs.brown.edu/ 366 comments
- GitHub - sdmg15/Best-websites-a-programmer-should-visit: :link: Some useful websites for programmers. https://github.com/sdmg15/Best-websites-a-programmer-should-visit 331 comments
- https://blog.devmastery.com/how-to-win-the-coding-interview-71ae7102d685#.dy3irg8ei 296 comments
- GitHub - getify/You-Dont-Know-JS: A book series on JavaScript. @YDKJS on twitter. https://github.com/getify/you-dont-know-js 279 comments
- Advanced Web Scraping: Bypassing "403 Forbidden," captchas, and more | sangaline.com http://sangaline.com/post/advanced-web-scraping-tutorial/ 238 comments
- A Neural Network Playground http://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.44309&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false 236 comments
- People are still bad at gauging their own interview performance. Here’s the data. | interviewing.io http://blog.interviewing.io/people-are-still-bad-at-gauging-their-own-interview-performance-heres-the-data/ 192 comments
- Devhints — TL;DR for developer documentation https://devhints.io/ 187 comments
- API design guide | Cloud APIs | Google Cloud https://cloud.google.com/apis/design 183 comments
- GitHub - alexjc/neural-doodle: Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.) https://github.com/alexjc/neural-doodle 93 comments
- How to present a GitHub project for your resume – The HFT Guy https://thehftguy.com/2016/10/24/heres-how-to-make-a-good-github-project-for-your-resume/ 84 comments
- https://blog.yalabot.com/i-got-sick-of-commoditized-content-for-entrepreneurs-heres-what-i-started-watching-instead-cdf9a5b28652#.50ev0pbn0 83 comments
- dragula - Browser drag-and-drop so simple it hurts http://bevacqua.github.io/dragula 71 comments
- Machine Learning Exercises In Python, Part 1 http://www.johnwittenauer.net/machine-learning-exercises-in-python-part-1/ 68 comments
- Pepperoni - Empowered by Futurice http://getpepperoni.com 63 comments
- GitHub - lukasz-madon/awesome-remote-job: A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python https://github.com/lukasz-madon/awesome-remote-job 62 comments
- https://www.amium.com/ 57 comments
Related searches:
Search whole site: site:medium.com
Search title: Alex Gulakov Blog — 200 Must-Reads on Machine Learning in 2023 | by Alex Gulakov | Jan, 2023 | Medium
See how to search.