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Shortcut to a medal!
Kaggle Competition Experiment Management Techniques Revealed at a Glance

[Overview of this book]
This book is for those who want to win a medal (silver medal or higher) in Kaggle competitions, and explains how to manage experiments in building models and how to manage information using generative AI.
It introduces experiment management methods using WandB as a tool, and information management methods using Notion and ChatGPT.
In the final chapter, the secrets of experiment management as practiced by Kaggle Competitions Grandmasters/Masters (8 of them) are presented in an interview format over 60 pages.

[Tools utilized]
*WandB
*Notion
*ChatGPT

[Main experiment management methods]
*Directory structure design
*Hyperparameter management
*Log management

[Target Audience]
*Data scientists
*Machine Learning Engineers
*Kaggler

[Table of Contents]
CH0 Transition from a novice to a medal winning approach to Kaggle
CH1 What is Experiment Management
CH2 Tools for Experiment Management
CH3 Use of Generated AI
CH4 Hands-on with past competitions
CH5 Experiment management in teams
CH6 Kaggler interview

SD item code:13192059

Detail Price & Quantity
S1
? Masanori Hashi, Hiroyuki Shinoda (Author)
?橋 正憲、篠田 裕之 (著)
(187450)
JAN:9784798187457
(187450) JAN:9784798187457

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Details
Item added on: 2025/3/7
Shipping Date
About 1 week
Dimensions
Format:A5
Number of pages:272
Specifications
Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2025
Product tag: None

Description

Shortcut to a medal!
Kaggle Competition Experiment Management Techniques Revealed at a Glance

[Overview of this book]
This book is for those who want to win a medal (silver medal or higher) in Kaggle competitions, and explains how to manage experiments in building models and how to manage information using generative AI.
It introduces experiment management methods using WandB as a tool, and information management methods using Notion and ChatGPT.
In the final chapter, the secrets of experiment management as practiced by Kaggle Competitions Grandmasters/Masters (8 of them) are presented in an interview format over 60 pages.

[Tools utilized]
*WandB
*Notion
*ChatGPT

[Main experiment management methods]
*Directory structure design
*Hyperparameter management
*Log management

[Target Audience]
*Data scientists
*Machine Learning Engineers
*Kaggler

[Table of Contents]
CH0 Transition from a novice to a medal winning approach to Kaggle
CH1 What is Experiment Management
CH2 Tools for Experiment Management
CH3 Use of Generated AI
CH4 Hands-on with past competitions
CH5 Experiment management in teams
CH6 Kaggler interview

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