10.最终获取用户的收藏以及订单转换率
课时1：Spark介绍课时2：Spark2集群安装课时3：SparkRDD操作课时4：SparkRDD原理分析课时5：Spark2sql从mysql中导入课时6：Spark1.6.2sql与mysql数据交互课时7：SparkSQLjava操作mysql数据课时8：Spark计算用户的保藏转换率课时9：Spark整理用户的保藏以及订单转换率课时10：终究获取用户的保藏以及订单转换率课时11：SparkPipeline构建随机森林回归猜测模型课时12：Spark随机森林回归猜测成果并存储进mysql课时13：Spark对保藏转猜测换率与真实的转换率比照，以及决策树模型构建课时14：Spark机器学习对各种监视与非监视分类学习详细介绍课时15：Spark协同过滤算法，构建用户与产品模型课时16：Spark协同算法终结给用户推荐产品课时17：mongodb的安装以及其基本操作课时18：Spark与mongodb结合课时19：Spark猜测保藏以及给用户推荐的产品存储进mongodb课时20：操作RDD需要注意点，以及Spark内存分配资源调优课时21：Spark全面学习进程及其总结本资料共包括以下附件：
_rels\.rels
01.Spark介绍.mp4
深入浅出Spark机器学习实践（用户行为分析）(1).txt
(Session 1: Spark Introduction Session 2: Spark2 Cluster Installation Session 3: SparkRDD Operation Session 4: SparkRDD Principle Analysis Session 5: Spark2Sql Import from MySQL Session 6: Spark1.6.2 SQL and MySQL Data Interaction Session 7: SparkSQLjava Operation MySQL Data Session 8: Spark Calculation of User's Preservation Conversion Rate Session 9: Spark Sorting User's Preservation and Order Conversion Rate Session 10: Getting User's Preservation and Order Conversion Rate Session 11: SparkP Ipeline Building Random Forest Regression Guess Model Session 12: Spark Random Forest Regression Guess Results and Store them in MySQL Session 13: Spark Compares the conversion rate of conservation to guess with the real conversion rate, and Decision Tree Model Construction Session 14: Spark Machine Learning Detailed introduction of various monitoring and non monitoring classification learning Session 15: Spark Collaborative Filtering Algorithm, Building a User and Product Model Session 16: End of Spark Collaborative Algorithm Recommending Products to Users Session 17: Mongodb Installation and Basic Operation Session 18: Combination of Spark and Mongodb Session 19: Spark Guessing Preservation and Storing Recommended Products to Users Session 20: Precautions for RDD Operation and Spark Memory Allocation Resource Tuning Session 21: Spark Comprehensive Learning Process and Summary
This document includes the following annexes:
_ rels\.rels
01.Spark Introduction.mp4
Learn More About Spark Machine Learning (User Behavior Analysis) (1). txt)
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