Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Fundamentals Of Data Science Trilogy: Experiment-Model-LearnISBN13:9781941043011ISBN10:1941043011Author:Maruskin, Jared M. (Author)Description:In This Series, We Cover Statistical Experimentation, Modeling, And Machine Learning, Focusing On: Basic Statistics, Hypothesis Testing, And Experimentationvalidation Methodologylinear And Logistic Regression; Generalized Linear Modelscausalitytime Series Analysisbayesian Statisticsclusteringdecision Trees, Random Forests, And Boosted Forestsartificial Neural Networks And Deep Learningreinforcement Learningour Focus Is On Mathematical Derivations, Algorithmic Development, And Programming We Use Python Throughout The Text To Support Our Theory All Machine Learning Techniques Are Coded From Scratch Using Python Binding:Paperback, PaperbackPublisher:Cayenne Canyon PressPublication Date:2022-04-29Weight:2.7 lbsDimensions:1.76'' H x 9.21'' L x 6.14'' WNumber of Pages:892Language:English
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Location: USA
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Book Title: Fundamentals Of Data Science Trilogy: Experiment-Model-Learn
Item Weight: 2.7 lbs
Author: Jared Maruskin
Publication Name: Fundamentals of Data Science Trilogy : Experiment-Model-Learn
Format: Trade Paperback
Language: English
Publisher: Cayenne Canyon Press
Publication Year: 2022
Type: Textbook
