A road map to become a Data Scientist（上）
这是Swami Chandrasekaran所绘制的一张地图。名字叫MetroMap to Data Scientist。 该地图一共十条路线，分别是基础原理、统计学、编程能力、机器学习、文本挖掘／自然语言处理、数据可视化、大数据、数据获取、数据清理、常用工具。 ●★● 基本原理： （1）矩阵和线性代数：涉及到的机器学习应用有SVD、PCA、最小二乘法、共轭梯度法等。 （2）哈希函数，二叉树，时间
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相关文章
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