Knowledge Discovery in Databases (KDD) Training in Zhuhai
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. Onsite live Knowledge Discovery in Databases (KDD) trainings in Zhuhai can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Zhuhai Tianlang Haifeng
1210, Tianlang Haifeng 2 Building 1210, Zhuhai, China, 519000
Tianlang Haifeng is located in the west of Qianshan Bridge, the southeast corner of Zhuhai Avenue and Nanping Sub-main Road. ...
Tianlang Haifeng is located in the west of Qianshan Bridge, the southeast corner of Zhuhai Avenue and Nanping Sub-main Road. The plot ratio is 5.2, covering an area of 17,428 m2, and the total construction area is 130,977.32 m2 (including 70,705.03 m2 of residential buildings and 19,702.17 m2 of commercial buildings. About 33012.6 m2, the other about 4407.76 m2), the building height is 185 meters.
Tianlang Haifeng functional layout: three-story basement (parking, civil air defense and other functional configurations);
Four-story podium shopping mall; two residential towers above the top floor of the podium, 58 floors per tower (including: the first floor of the tower is the residential entrance lobby, the second floor is the clubhouse, the third floor is the commercial office floor, the 22nd floor, The 37th floor is the refuge floor, and the remaining 53 floors are residential standard floors)
Architectural style: complete and clean residential tower, reasonable structural system, no square opening and no groove, very original;
The city landmarks are quiet and restrained, but they are quite upright.
There is a temperament of Yushu Linfeng, there is no apparent sexuality simulation, and it is close to the style of Binhai Garden City.
Park: Return to Park, Zhuxiandong Park
Supermarket: Get a supermarket
Business: Huafa Shangdu, Binhe Fengqing Bar Street, Nanping Seafood Street, Nanping Market, etc.
School: Rongrong International Kindergarten, Rongsong Primary School, Beishan Primary School, Nanping Middle School
Zhuhai - Yu Hai World Financial Centre
12/F, No. 1009 Middle Jiuzhou Avenue, Zhuhai, China
The Regus World Financial Centre is located on Middle Jiuzhou Avenue, Xiangzhou district, in the core area of Zhuhai Jida CBD...
The Regus World Financial Centre is located on Middle Jiuzhou Avenue, Xiangzhou district, in the core area of Zhuhai Jida CBD, close to the district government. Zhuhai Jiuzhou Helicoper Airport is only 7-minute drive from the centre, and it will only take 13 minutes to drive to Zhuhai Railway Station. Zhuhai is a special economic zone with convenient connections to Hong Kong and Macau. The centre has all business amenities at hand, such as banks, hotels, high-end shopping complexes and restaurants. Hotels such as Holiday Inn and Zhuhai Dehan Hotel are both within five minutes walking distance. Scenic spots such as Zhuhai Museum, Shihuashan Park and Bailiandong Park are also close to the centre. Regus World Financial Centre has become one of the best choices for both international and domestic companies in various industries, looking for flexible and fully equipped office space with professional office services at reasonable cost.
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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