Загрузка...

gradient boosting #maths #machinelearning #datascience #statistics

📚 *RECOMMENDED BOOKS TO START WITH MACHINE LEARNING*
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
If you're new to ML, here are the 3 best books I recommend (I've personally read all of these):
1. Hands-On Machine Learning – the go-to practical ML guide: https://amzn.to/3UcGqSS
2. Mathematics for Machine Learning – deep dive into the theoretical aspects of ML: https://amzn.to/3IZgHe7
3. Designing Machine Learning Systems - practical strategies for building scalable ML solutions: https://amzn.to/4ojEqFX

These are affiliate links, so buying through them helps support the channel at no extra cost to you — thanks 🙏

*Summary*
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
This video explains gradient boosted trees in clear and practical terms, covering how boosting works, why iterative decision trees improve prediction accuracy, and how models like XGBoost, LightGBM, and CatBoost achieve strong performance in modern machine learning tasks.

*Follow Me*
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
🐦 Twitter: @datamlistic https://twitter.com/datamlistic
📸 Instagram: @datamlistic https://www.instagram.com/datamlistic
📱 TikTok: @datamlistic https://www.tiktok.com/@datamlistic
👔 Linkedin: https://www.linkedin.com/company/datamlistic

*Channel Support*
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
The best way to support the channel is to share the content. ;)

If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary)
► Patreon: https://www.patreon.com/datamlistic
► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq
► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281
► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5
► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a

Видео gradient boosting #maths #machinelearning #datascience #statistics канала DataMListic
Яндекс.Метрика
Все заметки Новая заметка Страницу в заметки
Страницу в закладки Мои закладки
На информационно-развлекательном портале SALDA.WS применяются cookie-файлы. Нажимая кнопку Принять, вы подтверждаете свое согласие на их использование.
О CookiesНапомнить позжеПринять