- 應具備業務運營的基本知識和技術知識
- 必須對軟體和系統有基本的瞭解
- 基本瞭解 Statistics(在 Excel 級別中)
本培訓課程適合希望將Machine Learning應用於團隊實際應用中的人員。培訓不會深入技術細節,而是圍繞基本概念及其在業務/操作中的應用展開。
目標觀眾
- 投資者與AI企業家
- 公司正涉足AI領域的經理與工程師
- Business分析師與投資者
Neural Networks 簡介
應用材料簡介 Machine Learning
- 統計學習與機器學習
- 反覆運算和評估
- 偏差-方差權衡
機器學習與 Python
- 庫的選擇
- 附加工具
機器學習概念和應用
回歸
- 線性回歸
- 泛化和非線性
- 使用案例
分類
- 貝葉斯複習
- 樸素貝葉斯
- 邏輯回歸
- K-最近鄰
- Use Case秒
交叉驗證和重採樣
- 交叉驗證方法
- 啟動
- Use Case秒
無監督學習
- K-means 聚類
- 例子
- 無監督學習和超越 K 均值的挑戰
NLP方法簡介
- 單詞和句子標記化
- 文本分類
- 情緒分析
- 拼寫更正
- 資訊提取
- 解析
- 意義提取
- 問答
人工智慧 & Deep Learning
技術概述
- R 與秒 Python
- Caffe 與 Tensor Flow
- 各種機器學習庫
行業案例研究
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