在線或現場，講師指導的現場AdaBoost培訓課程通過互動式動手實踐演示如何使用AdaBoost構建用於Python機器學習的增強演算法。
AdaBoost培訓以「在線現場培訓」或「現場現場培訓」的形式提供。在線實時培訓（又名“遠程實時培訓”）通過互動式
AdaBoost也被稱為自適應增壓。
NobleProg -- 您當地的培訓機構
Machine Translated
AdaBoost課程大綱
課程名稱
課程時長
概覽
課程名稱
課程時長
概覽
14小時
AdaBoost is an algorithm that is used together with other machine learning models for optimal performance. It uses ensemble learning techniques, combining weaker models to form more accurate predictions.
This instructor-led, live training (online or onsite) is aimed at data scientists and software engineers who wish to use AdaBoost to build boosting algorithms for machine learning with Python.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start building machine learning models with AdaBoost.
- Understand the ensemble learning approach and how to implement adaptive boosting.
- Learn how to build AdaBoost models to boost machine learning algorithms in Python.
- Use hyperparameter tuning to increase the accuracy and performance of AdaBoost models.
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
- To request a customized training for this course, please contact us to arrange.
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