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課程簡介
概率 (3.5h)
- 概率的定義
- 二項分佈
- 日常使用練習
Statistics (10.5小時)
- 描述性 Statistics
- 推理 Statistics
- 回歸
- 邏輯回歸
- 習題
Programming簡介(3.5h)
- 程式 Programming
- 功能性 Programming
- 哎呀 Programming
- 練習(為選擇的遊戲編寫邏輯,例如無球和十字架)
Machine Learning (10.5小時)
- 分類
- 聚類
- Neural Networks
- 練習(為選擇的電腦遊戲編寫 AI)
規則引擎和專家系統(7 小時)
- 規則引擎簡介
- 為同一遊戲編寫 AI,並將解決方案結合到混合方法中
最低要求
- 沒有。本課程將解釋概率和統計等所有概念。如果您已經熟悉概率和統計學,請參考我們的課程代碼 aiint。
觀眾
- 對學習人工智慧 Machine Learning 和程式設計感興趣的初學者
35 時間:
客戶評論 (5)
實驗室
Frank Mhlongo - Standard Bank of South Africa
Course - JBoss
機器翻譯
節奏很好,知識分享、演示和實際工作很好地融合在一起。 菲力浦非常有吸引力,並提供了完成課程的能量。 有很多 1:1 的教學是件好事,菲力浦進行了個人訓練練習。
Colin - Worldpay
Course - BPMN, DMN, and CMMN - OMG standards for process improvement
機器翻譯
The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.
Terry Strachan - Exel Computer Systems plc
Course - OptaPlanner in Practice
Shared examples of every function and/or operators are all well explained.
Brian Amlon - Thakral One, Inc.
Course - Introduction to Drools 7 for Developers
a lot of practices are very welcome, many try and learn cases are embedded