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08-23-2023, 08:04 PM
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Machine Learning Foundations: Probability | LinkedIn
English | Size: 211.75 MB
Genre: eLearning
If you work with machine learning models, you probably already know that your models are based on estimation and approximation. Probability is everything and more-but how do you leverage it to your advantage?
In this course, the third part of the Machine Learning Foundations series, join instructor Terezija Semenski for an in-depth exploration of probability, its core concepts and functionalities, and how to use it to design, implement, and manage more reliable machine learning algorithms. Along the way, discover some of the most essential tools and techniques you need to know for successful probabilistic modeling, pulling from the rules of probability, joint and marginal probability, discrete probability distributions, continuous probability distributions, Bayes' theorem, and more.
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https://rapidgator.net/file/fa72c024201f56ce4bc1c04cd586b068/LN-MachineLearningFoundations-Probability.rar.html
https://i.imgur.com/DnAn0tn.png
https://nitroflare.com/view/3F8027FA9178D0D/LN-MachineLearningFoundations-Probability.rar
If any links die or problem unrar, send request to
https://forms.gle/e557HbjJ5vatekDV9
Machine Learning Foundations: Probability | LinkedIn
English | Size: 211.75 MB
Genre: eLearning
If you work with machine learning models, you probably already know that your models are based on estimation and approximation. Probability is everything and more-but how do you leverage it to your advantage?
In this course, the third part of the Machine Learning Foundations series, join instructor Terezija Semenski for an in-depth exploration of probability, its core concepts and functionalities, and how to use it to design, implement, and manage more reliable machine learning algorithms. Along the way, discover some of the most essential tools and techniques you need to know for successful probabilistic modeling, pulling from the rules of probability, joint and marginal probability, discrete probability distributions, continuous probability distributions, Bayes' theorem, and more.
https://i.imgur.com/yMNlxlr.png
https://i.imgur.com/lzLY3aA.png
https://rapidgator.net/file/fa72c024201f56ce4bc1c04cd586b068/LN-MachineLearningFoundations-Probability.rar.html
https://i.imgur.com/DnAn0tn.png
https://nitroflare.com/view/3F8027FA9178D0D/LN-MachineLearningFoundations-Probability.rar
If any links die or problem unrar, send request to
https://forms.gle/e557HbjJ5vatekDV9