Less work, Better data: How machine learning improves your experiments

preview_player
Показать описание
In this video, I’ll show you how Bayesian Optimization can make experimentation faster, more efficient, and smarter by learning from each step and adapting in real-time. Instead of rigidly following a pre-planned design, this approach finds the best solution with fewer experiments—saving time, money, and effort.

WATCH THIS VIDEO TO LEARN:
- Why traditional experimental designs can be inefficient.
- How Bayesian Optimization works.
- The difference between exploitation and exploration.
- A step-by-step example of using Bayesian Optimization for a simple experiment.

📂 GET ACCESS TO CODE AND DATA:

📖 READ THE BLOG POST:

---

CONNECT WITH ME!
Рекомендации по теме
Комментарии
Автор

there are many other DoE types except what you have mentioned in your 29 videos playlist, , what about those ? are those not significant or used in extremly special conditions? please let us know which are mostly used in which scenarios ? like the example in this video of restrurants

mohammedshahzeb
welcome to shbcf.ru