當地現場培訓指導！培訓課程類別！位置。
Testimonials
保持簡短和簡單。 圍繞概念創建直覺和視覺模型（決策樹圖、線性方程、手動計算y_pred以證明模型的工作原理）。
Nicolae - Oana Pancea , DB Global Technology
Course: Machine Learning
Machine Translated
它説明我實現了理解ML的目標。非常尊重 Pablo 在這個主題上給出適當的介紹，因為經過 3 天的培訓后，這個主題變得非常廣泛。我也很喜歡你提供的虛擬機的想法，它的延遲非常好！它允許每個專家按照自己的節奏進行實驗。
Silviu - Oana Pancea , DB Global Technology
Course: Machine Learning
Machine Translated
巴勃羅是一位偉大的教練！他的教學風格有趣且易於遵循。他以易於理解的方式解釋了複雜的主題，並花時間詳細介紹並提供實際範例。他回答了每一個問題，即使是那些超出課程一般範圍的問題。他準備了示例、練習、學習材料，並設法在短短 3 天內適應了大量資訊。肯定會參加他教的另一門課程。
Oana Pancea , DB Global Technology
Course: Machine Learning
Machine Translated
培訓者的氛圍、知識和態度
Oana Pancea , DB Global Technology
Course: Machine Learning
Machine Translated
Random Forest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
This instructor-led, live training in 台灣 (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to build machine learning algorithms for large datasets.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start building machine learning models with Random forest.
- Understand the advantages of Random Forest and how to implement it to resolve classification and regression problems.
- Learn how to handle large datasets and interpret multiple decision trees in Random Forest.
- Evaluate and optimize machine learning model performance by tuning the hyperparameters.
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