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Statistics for Machine Learning: Implement Statistical methods used in Machine Learning using Python
Manage episode 524289463 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.
An educational resource detailing statistical concepts foundational to machine learning, including descriptive statistics (mean, median, mode, and measures of dispersion), probability theory, and methods for parameter estimation and hypothesis testing. The book covers various analytical techniques such as ANOVA, regression models (linear, logistic, and regularized forms), and non-parametric statistics, often illustrating their practical application using Python libraries like Pandas and NumPy. The text also offers an overview of machine learning algorithms, including supervised and unsupervised methods, positioning statistics as the core discipline underpinning these advanced applications.
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/Statistics-Machine-Learning-Implement-Statistical/dp/9388511972?&linkCode=ll1&tag=cvthunderx-20&linkId=334106a284fd7b6360bf1aa51ed5b699&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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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/Statistics-Machine-Learning-Implement-Statistical/dp/9388511972?&linkCode=ll1&tag=cvthunderx-20&linkId=334106a284fd7b6360bf1aa51ed5b699&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
1001 에피소드
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