Mosquito 发表于 2025-3-21 18:05:02
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Basics of Machine LearningIn this chapter, the basics of machine learning are introduced with its key terminologies and its tasks. The different types of tasks that are involved in machine learning are data acquisition, data cleaning, data modeling, and data visualization. These tasks are discussed in this chapter with steps on getting started with machine learning.原始 发表于 2025-3-22 11:15:35
Other Analytical Techniquesroviding the suitable offers for the customers. Random forest is a classification technique that builds a number of decision trees based on the decision points in the classification. In this chapter, these analytical techniques are discussed with examples.GUILT 发表于 2025-3-22 16:11:37
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Apache Hiver processing the data. In this chapter, Hive and its architectural components are discussed first. Later, the chapter is followed with different kinds of operations that can be executed in Hive and examples on it. The chapter concludes with the network log and call log case studies with Hive.