[{"title":"( 27 个子文件 21.83MB ) 斯坦福大学机器学习课程讲义cs229-andrew Ng. lecture notes","children":[{"title":"斯坦福大学机器学习课程讲义","children":[{"title":"斯坦福大学机器学习课程讲义第一讲——机器学习介绍.pptx <span style='color:#111;'> 4.54MB </span>","children":null,"spread":false},{"title":"cs229-notes10.pdf <span style='color:#111;'> 75.40KB </span>","children":null,"spread":false},{"title":"cs229-prob.pdf <span style='color:#111;'> 147.50KB </span>","children":null,"spread":false},{"title":"cs229-notes3.pdf <span style='color:#111;'> 175.57KB </span>","children":null,"spread":false},{"title":"cs229-cvxopt2.pdf <span style='color:#111;'> 196.80KB </span>","children":null,"spread":false},{"title":"cs229-notes2.pdf <span style='color:#111;'> 858.17KB </span>","children":null,"spread":false},{"title":"cs229-notes4.pdf <span style='color:#111;'> 108.74KB </span>","children":null,"spread":false},{"title":"cs229-cvxopt.pdf <span style='color:#111;'> 148.86KB </span>","children":null,"spread":false},{"title":"cs229-notes5.pdf <span style='color:#111;'> 86.63KB </span>","children":null,"spread":false},{"title":"cs229-linalg.pdf <span style='color:#111;'> 164.59KB </span>","children":null,"spread":false},{"title":"cs229-gp.pdf <span style='color:#111;'> 150.96KB </span>","children":null,"spread":false},{"title":"cs229-notes1.pdf <span style='color:#111;'> 229.65KB </span>","children":null,"spread":false},{"title":"cs229-notes6.pdf <span style='color:#111;'> 50.85KB </span>","children":null,"spread":false},{"title":"斯坦福机器学习公开课讲义_Lecture10.pdf <span style='color:#111;'> 1.48MB </span>","children":null,"spread":false},{"title":"cs229-notes11.pdf <span style='color:#111;'> 74.18KB </span>","children":null,"spread":false},{"title":"斯坦福大学机器学习课程讲义第四讲——_多变量的线性回归模型表达.pptx <span style='color:#111;'> 4.40MB </span>","children":null,"spread":false},{"title":"斯坦福大学机器学习课程讲义第三讲——_线性代数基础.pptx <span style='color:#111;'> 4.93MB </span>","children":null,"spread":false},{"title":"cs229-notes7a.pdf <span style='color:#111;'> 264.67KB </span>","children":null,"spread":false},{"title":"cs229-hmm.pdf <span style='color:#111;'> 197.80KB </span>","children":null,"spread":false},{"title":"ML-advice.pdf <span style='color:#111;'> 313.47KB </span>","children":null,"spread":false},{"title":"cs229-notes12.pdf <span style='color:#111;'> 73.96KB </span>","children":null,"spread":false},{"title":"cs229-notes8.pdf <span style='color:#111;'> 81.18KB </span>","children":null,"spread":false},{"title":"cs229-notes7b.pdf <span style='color:#111;'> 53.89KB </span>","children":null,"spread":false},{"title":"斯坦福大学机器学习公开课课件_Lecture7.pdf <span style='color:#111;'> 1.40MB </span>","children":null,"spread":false},{"title":"斯坦福大学机器学习课程讲义第五讲——_Octave的使用.pdf <span style='color:#111;'> 242.37KB </span>","children":null,"spread":false},{"title":"cs229-notes9.pdf <span style='color:#111;'> 81.16KB </span>","children":null,"spread":false},{"title":"斯坦福大学机器学习课程讲义第二讲——_单变量的线性回归模型表达.pdf <span style='color:#111;'> 2.88MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]