東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Machine learning contests = a guideb...

Wang he.

FindBook

Google Book

Amazon

博客來

Machine learning contests = a guidebook /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning contests/ by Wang He, Peng Liu, Qian Qian.
其他題名:	a guidebook /
作者:	Wang he.
其他作者:	Liu, Peng.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xix, 393 p. :ill., digital ;24 cm.
內容註:	Chapter 1 First Sight -- Chapter 2 Problem Modeling -- Chapter 3 Data Exploration -- Chapter 4 Characteristic Engineering -- Chapter 5 Model Training -- Chapter 6 Model Fusion -- Chapter 7 User Portrait -- Chapter 8 Actual Combat Case: Elo Merchant -- Chapter 9 time sequence -- Chapter 10 Practical Cases: Global Urban -- Chapter 11 Practical Case: Corporaci -- Corporación Favorita Grocery Sales Forecasting -- Chapter 12 Computing Advertising -- Chapter 13 Practical Cases: Tencent 2018 Advertising Algorithm Contest-Similarity Crowd Expansion -- Chapter 14: TalkingData AdTracking Fraud Detection Challenge -- Chapter 15 Natural Language Processing -- Chapter 16 Practical Case: Quora Question Pairs.
Contained By:	Springer Nature eBook
標題:	Machine learning - Competitions. -
電子資源:	https://doi.org/10.1007/978-981-99-3723-3
ISBN:	9789819937233

Machine learning contests = a guidebook /
Wang he.

Machine learning contestsa guidebook /[electronic resource] :by Wang He, Peng Liu, Qian Qian. - Singapore :Springer Nature Singapore :2023. - xix, 393 p. :ill., digital ;24 cm.

Chapter 1 First Sight -- Chapter 2 Problem Modeling -- Chapter 3 Data Exploration -- Chapter 4 Characteristic Engineering -- Chapter 5 Model Training -- Chapter 6 Model Fusion -- Chapter 7 User Portrait -- Chapter 8 Actual Combat Case: Elo Merchant -- Chapter 9 time sequence -- Chapter 10 Practical Cases: Global Urban -- Chapter 11 Practical Case: Corporaci -- Corporación Favorita Grocery Sales Forecasting -- Chapter 12 Computing Advertising -- Chapter 13 Practical Cases: Tencent 2018 Advertising Algorithm Contest-Similarity Crowd Expansion -- Chapter 14: TalkingData AdTracking Fraud Detection Challenge -- Chapter 15 Natural Language Processing -- Chapter 16 Practical Case: Quora Question Pairs.

This book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions. Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc. The authors, also knew as "competition professionals", will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors.

ISBN: 9789819937233

Standard No.: 10.1007/978-981-99-3723-3doiSubjects--Topical Terms:

3667396
Machine learning
--Competitions.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning contests = a guidebook /
LDR:02788nmm a2200325 a 4500 001 2335214
003 DE-He213
005 20231011013337.0
006 m d
007 cr nn 008maaau
008 240402s2023 si s 0 eng d
020 $a 9789819937233 $q (electronic bk.)
020 $a 9789819937226 $q (paper)
024 7 $a 10.1007/978-981-99-3723-3 $2 doi
035 $a 978-981-99-3723-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQM $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .W246 2023
100 1 $a Wang he. $3 3667394
245 1 0 $a Machine learning contests $h [electronic resource] : $b a guidebook / $c by Wang He, Peng Liu, Qian Qian.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xix, 393 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1 First Sight -- Chapter 2 Problem Modeling -- Chapter 3 Data Exploration -- Chapter 4 Characteristic Engineering -- Chapter 5 Model Training -- Chapter 6 Model Fusion -- Chapter 7 User Portrait -- Chapter 8 Actual Combat Case: Elo Merchant -- Chapter 9 time sequence -- Chapter 10 Practical Cases: Global Urban -- Chapter 11 Practical Case: Corporaci -- Corporación Favorita Grocery Sales Forecasting -- Chapter 12 Computing Advertising -- Chapter 13 Practical Cases: Tencent 2018 Advertising Algorithm Contest-Similarity Crowd Expansion -- Chapter 14: TalkingData AdTracking Fraud Detection Challenge -- Chapter 15 Natural Language Processing -- Chapter 16 Practical Case: Quora Question Pairs.
520 $a This book systematically introduces the competitions in the field of algorithm and machine learning. The first author of the book has won 5 championships and 5 runner-ups in domestic and international algorithm competitions. Firstly, it takes common competition scenarios as a guide by giving the main processes of using machine learning to solve real-world problems, namely problem modelling, data exploration, feature engineering, model training. And then lists the main points of difficulties, general ideas with solutions in the whole process. Moreover, this book comprehensively covers several common problems in the field of machine learning competitions such as recommendation, temporal prediction, advertising, text computing, etc. The authors, also knew as "competition professionals", will explain the actual cases in detail and teach you various processes, routines, techniques and strategies, which is a rare treasure book for all competition enthusiasts. It is very suitable for readers who are interested in algorithm competitions and deep learning algorithms in practice, or computer-related majors.
650 0 $a Machine learning $x Competitions. $3 3667396
650 0 $a Computer algorithms $x Competitions. $3 3667397
650 1 4 $a Machine Learning. $3 3382522
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
650 2 4 $a Algorithms. $3 536374
700 1 $a Liu, Peng. $3 1005586
700 1 $a Qian, Qian. $3 3667395
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-99-3723-3
950 $a Computer Science (SpringerNature-11645)