Knowledge Discovery in Databases (KDD) Training in Beijing Chaoyang
Online or onsite, instructor-led live Knowledge Discovery in Databases (KDD) training courses demonstrate through interactive hands-on practice the processes involved in KDD and how to implement those processes.
KDD training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Beijing Chaoyang onsite live Knowledge Discovery in Databases (KDD) trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Between the China International Trade Center and the Kerry Centre, it is backed by the International Trade Center and is acro...
Between the China International Trade Center and the Kerry Centre, it is backed by the International Trade Center and is across the street from Kerry Apartments, with a total construction area of 32,000 square meters.
Peripheral package
Shopping mall: Beijing Guomao Mall flagship store, Wanda New World Mall, Guiyou Shopping Mall
Bank: Guangfa Bank International Trade Branch, Huaxia Bank Jingguang Sub-branch, Industrial Bank Guanghua Road Sub-branch, Huaxia Bank Guanghua Sub-branch, CITIC Bank Wealth Center Branch
Hotel: Liandu Business Hotel, Home Inn, Jianguo Hotel, Wanda Sofitel Hotel, Jinglun Hotel, Beijing Bohao Ruiting Hotel, Beijing Kerry Hotel, Millennium Hotel
Catering: Grandma's Kitchen, Xiaowangfu, Ganges Indian Restaurant, Shijiao Guoguomen Restaurant, etc.
Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing.
In this instructor-led, live course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes.
Audience
Data analysts or anyone interested in learning how to interpret data to solve problems
Format of the Course
After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.
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