摘要: 如何通俗地理解概率论中的「极大似然估计法」? - 马同学的回答 - 知乎 https://www.zhihu.com/question/24124998/answer/242682386 高级数据库原理 http://blog.csdn.net/column/details/18976.html 阅读全文
posted @ 2017-12-27 18:07 付小同 阅读(190) 评论(0) 推荐(0) 编辑
摘要: mnist = tf.keras.datasets.mnist (x_train, y_train), (x_test, y_test) = mnist.load_data() x_train, x_test = x_train / 255.0, x_test / 255.0 model = tf. 阅读全文
posted @ 2020-10-15 18:31 付小同 阅读(103) 评论(0) 推荐(0) 编辑
摘要: Afinity Propagation AP 的关键在于用 匹配度 (Responsibility) 和 (Availability) 来衡量中心点(Examplar). 先上原文: The “responsibility” r(i,k), sent from data point i to can 阅读全文
posted @ 2020-04-24 18:43 付小同 阅读(1382) 评论(0) 推荐(0) 编辑
摘要: 这是一个计算决策树中信息增益、信息增益比和GINI指标的例子。 相关阅读: Information Gainhttp://www.cs.csi.cuny.edu/~imberman/ai/Entropy%20and%20Information%20Gain.htm Decision Treehttp 阅读全文
posted @ 2019-09-02 17:01 付小同 阅读(1083) 评论(0) 推荐(0) 编辑
摘要: Predictor Variable 自变量 Experimental Variable 因变量,实验变量 Control Variable 1. list all potential var2. if have no data, remove var3. combine similar var4. 阅读全文
posted @ 2018-01-08 09:56 付小同 阅读(132) 评论(0) 推荐(0) 编辑
摘要: Gradient Descent 1. USAGE When we want to know min[f(X)]. 2. ESSENCE Following the path of gradient, we go down (f(x) decrease) fastest. We define the 阅读全文
posted @ 2017-12-08 11:32 付小同 阅读(158) 评论(0) 推荐(0) 编辑
摘要: http://arogozhnikov.github.io/2016/06/24/gradient_boosting_explained.html good visualization, and explanation 阅读全文
posted @ 2017-11-08 17:27 付小同 阅读(122) 评论(0) 推荐(0) 编辑
摘要: Comparison with SQL¶ Since many potential pandas users have some familiarity with SQL, this page is meant to provide some examples of how various SQL 阅读全文
posted @ 2017-11-08 09:59 付小同 阅读(318) 评论(0) 推荐(0) 编辑
摘要: 常规操作: 选择列 print(data[["prov_id","gender_0"]]) 合并列: data = data.join JOIN: pd.merge UNION pd.concat data = data.join JOIN: pd.merge UNION pd.concat 删除列 阅读全文
posted @ 2017-09-22 10:31 付小同 阅读(200) 评论(0) 推荐(0) 编辑
摘要: search tables show tables "*sc*bak*" partial select set hive.support.quoted.identifiers=none; SELECT `(mo|code)?+.+`, NULL as zbk_tmc, NULL AS zbkrvFR 阅读全文
posted @ 2017-09-18 11:12 付小同 阅读(274) 评论(0) 推荐(0) 编辑