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Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI
Manage episode 508660891 series 3683458
CyberSecurity Summary에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 CyberSecurity Summary 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Focuses on machine learning for tabular data, covering its fundamental concepts and practical applications. The sources explore various machine learning and deep learning approaches, with a particular emphasis on gradient boosting techniques like XGBoost and LightGBM, highlighting their efficacy with structured data. Readers will learn about data preparation, feature engineering, and advanced processing methods, including handling missing values and categorical features. The text also discusses model optimization, evaluation, and deployment strategies, demonstrating how to build and implement machine learning pipelines, including discussions on cloud platforms and generative AI tools that aid in these processes.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Machine-Learning-Tabular-Data-XGBoost/dp/1633438546?&linkCode=ll1&tag=cvthunderx-20&linkId=de0b879ca6bb24b542f7419b514415e7&language=en_US&ref_=as_li_ss_tl
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You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Machine-Learning-Tabular-Data-XGBoost/dp/1633438546?&linkCode=ll1&tag=cvthunderx-20&linkId=de0b879ca6bb24b542f7419b514415e7&language=en_US&ref_=as_li_ss_tl
1001 에피소드
공유
