Is it weird my #twitch channel is a combination of me re-learning how to play #trombone and crunching #algorithms in #typescript? It's really just my way to #learninpublic.

Lol this feels insane #streaming #trombone #music #coding #learninpublic

果然「不知道自己不知道的是什么」/ unknown unknowns 才是最可怕的：从昨晚到今天试图改一个看似很简单的 feature，最后发现是因为我没想到需要搞明白 __getitem__ 到底是啥 😱😱😱

忙完这轮一定要速通一遍 2022 Complete Python Bootcamp 里的 Object oriented programming 内容，不能继续文盲式编程了 :chuizhuo:

#LearnInPublic #programming

果然「不知道自己不知道的是什么」/ unknown unknowns 才是最可怕的：从昨晚到今天试图改一个看似很简单的 feature，最后发现是因为我没想到需要搞明白 __getitem__ 到底是啥 😱😱😱

忙完这轮一定要速通一遍 2022 Complete Python Bootcamp 里的 Object oriented programming 内容，不能继续文盲式编程了 :chuizhuo:

#LearnInPublic #programming

感谢 fediverse 监督我 #LearnInPublic , 这一轮面试通过了！我来发一下本次 machine learning speed review material repo:

- Jose Portilla: Python for Machine Learning & Data Science Masterclass @ Udemy / Andrew Ng: Deep Learning Specialization @ Coursera: 新手友好版深度学习，算法视觉化做得很好，适合速通 / 极速复习
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: 出乎意料地适合速读复习，令人舒适
- CS229: 机器学习的坚实数学基础，适合认真跟课程一起推导，不适合迅速入门 big picture
- CS188 & CS221: 人工智能课程，与本次复习目标无关，所以被跳过了

感谢 fediverse 监督我 #LearnInPublic , 这一轮面试通过了！我来发一下本次 machine learning speed review material repo:

- Jose Portilla: Python for Machine Learning & Data Science Masterclass @ Udemy / Andrew Ng: Deep Learning Specialization @ Coursera: 新手友好版深度学习，算法视觉化做得很好，适合速通 / 极速复习
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: 出乎意料地适合速读复习，令人舒适
- CS229: 机器学习的坚实数学基础，适合认真跟课程一起推导，不适合迅速入门 big picture
- CS188 & CS221: 人工智能课程，与本次复习目标无关，所以被跳过了

新年假期准备为一个重要的面试复习 ML，预计面试中有很多针对 basic machine learning fundamentals 的问题（例如：面对某种 dataset，要解答某某问题，应该用什么方法？背后的原理是什么？但不要求当场写码），诚求象友们推荐关于机器学习基础知识（尤其是计算机视觉）的突击复习材料 :ablobcatbongo:

目前的想法是速通尽可能多的下列材料（暂未设优先级），欢迎推荐资源 / 建议优先级 / 指路 ML interview question list！

UCB CS188 课件 - https://inst.eecs.berkeley.edu/~cs188/fa21/
Andrew Ng Deep Learning Specialization 课件 - https://www.coursera.org/specializations/deep-learning?
Jose Portilla 2021 Python for Machine Learning & Data Science Masterclass: ML sections - https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass/
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - http://libgen.rs/search.php?req=Hands-On+Machine+Learning+with+Scikit-Learn%2C+Keras%2C+and+TensorFlow&lg_topic=libgen&open=0&view=simple&res=25&phrase=1&column=def

#MachineLearning #programming #LearnInPublic
#书影音游bot #MOOC

新年假期准备为一个重要的面试复习 ML，预计面试中有很多针对 basic machine learning fundamentals 的问题（例如：面对某种 dataset，要解答某某问题，应该用什么方法？背后的原理是什么？但不要求当场写码），诚求象友们推荐关于机器学习基础知识（尤其是计算机视觉）的突击复习材料 :ablobcatbongo:

目前的想法是速通尽可能多的下列材料（暂未设优先级），欢迎推荐资源 / 建议优先级 / 指路 ML interview question list！

UCB CS188 课件 - https://inst.eecs.berkeley.edu/~cs188/fa21/
Andrew Ng Deep Learning Specialization 课件 - https://www.coursera.org/specializations/deep-learning?
Jose Portilla 2021 Python for Machine Learning & Data Science Masterclass: ML sections - https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass/
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - http://libgen.rs/search.php?req=Hands-On+Machine+Learning+with+Scikit-Learn%2C+Keras%2C+and+TensorFlow&lg_topic=libgen&open=0&view=simple&res=25&phrase=1&column=def

#MachineLearning #programming #LearnInPublic
#书影音游bot #MOOC

RT @winkerVSbecks@twitter.com

Made a little audio reactive WebGL scene with the @pmndrs@twitter.com stack. Things I experimented with:

🔊 Driving visuals with audio
✨ Different types of particle effects
💎 Creating a custom material with shaders
🎞️ Use post-processing effects

https://solarstorm.netlify.app/

#LearnInPublic

🐦🔗: https://twitter.com/winkerVSbecks/status/1424772046341431298