[{"title":"( 11 个子文件 52.08MB ) 人工智能数学基础.zip","children":[{"title":"人工智能数学基础","children":[{"title":"第五章、第六章 函数,微分和积分.docx <span style='color:#111;'> 15.51MB </span>","children":null,"spread":false},{"title":"第四章.docx <span style='color:#111;'> 5.67MB </span>","children":null,"spread":false},{"title":"第十章(概率、一维随机变量、二位随机变量、多维随机变量).docx <span style='color:#111;'> 2.93MB </span>","children":null,"spread":false},{"title":"第九章(最小二乘法、梯度下降法、牛顿法、拉格朗日乘子法).docx <span style='color:#111;'> 4.15MB </span>","children":null,"spread":false},{"title":"第七章(曲面方程、二元函数、偏导数、高阶偏导数、全微分、复合函数求导).docx <span style='color:#111;'> 7.03MB </span>","children":null,"spread":false},{"title":"第八章(泰勒公式、向量函数、雅可比矩阵、海森矩阵).docx <span style='color:#111;'> 1.03MB </span>","children":null,"spread":false},{"title":"第一、二、三章(向量、矩阵、线性映射).docx <span style='color:#111;'> 6.10MB </span>","children":null,"spread":false},{"title":"第十二章(下)估计量的评价、区间估计.docx <span style='color:#111;'> 3.34MB </span>","children":null,"spread":false},{"title":"第十一章(一维、二维随机变量数字特征、大数定律、中心极限定律).docx <span style='color:#111;'> 3.06MB </span>","children":null,"spread":false},{"title":"第十二章(上)估计量,矩估计,最大似然估计.doc <span style='color:#111;'> 141.50KB </span>","children":null,"spread":false},{"title":"第十三章( 贝叶斯决策理论、HMM).docx <span style='color:#111;'> 3.99MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]