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Random Forests with R

book, each result is given together with the code (in R) that can be used to reproduce it. Thus, the book offers readers essential information;

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Data Analysis and Graphics Using R

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this;

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Introduction to Data Science

Covers the basics of R and the tidyverse Demonstrate how to use ggplot2 to generate graphs and describe important Data Visualization;

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Learning Approaches in Signal Processing

video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random;

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Statistics for Linguistics with R

the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands;

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Extending The Linear Model With R

expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and;

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Hands-On Ensemble Learning with R

Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble;

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Quantitative Economics with R

This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R;

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Random Thoughts From a Simple Believer

Random Thoughts From a Simple Believer is a collection of scriptures applied to the everyday things we experience in life. ;

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Python Artificial Intelligence Projects for Beginners

forests for classification Detect YouTube comment spam with a bag-of-words and random forests Identify handwritten mathematical symbols with;

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Artificial Intelligence, Machine Learning, and Deep Learning

This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will;

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Effective Statistical Learning Methods for Actuaries II

aspects and numerical illustrations or case studies. All numerical illustrations are performed with the R statistical software. The technical;

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Intuitive Probability and Random Processes Using Matlab(r)

Intuitive Probability and Random Processes using MATLAB (R) is an introduction to probability and random processes that merges theory with;

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Probability

qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough;

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Data Analysis Using Hierarchical Generalized Linear Models with R

advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs;

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Data Analysis Using Hierarchical Generalized Linear Models with R

advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs;

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Generalized Linear Models with Random Effects

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and;

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Data Science Using Python and R

the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R;

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Generalized Linear Models with Random Effects: Unified Analysis Via H-Likelihood, Second Edition

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and;

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Data Analytics for the Social Sciences

applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter;

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Data Analytics for the Social Sciences

applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter;

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Statistical Inference in Financial and Insurance Mathematics with R

different statistical experiments considered in order to give the proper sense of estimation risk. Eighty examples and computations with R software;

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Combinatorial Stochastic Processes

of combinatorics and stochastic processes. There is particular focus on the theory of random combinatorial structures such as partitions, permutations;

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Probability and Random Processes for Electrical and Computer Engineers

With updates and enhancements to the incredibly successful first edition, Probability and Random Processes for Electrical and Computer;

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Intuitive Probability And Random Processes Using Matlab

Intuitive Probability and Random Processes using MATLAB (R) is an introduction to probability and random processes that merges theory with;

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Forests and Insect Conservation in Australia

connectivity between otherwise isolated remnant patches. In parallel, the recent attention to improving forest insect conservation in harmony with;

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Stochastic Processes An Introduction, Third Edition Chapman HallCRC Texts in Statistical Science

, discusses the modelling and analysis of random experiments, where processes evolve over time. The text begins with a review of relevant fundamental;

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