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data visualization, linear and advanced regression, additive models, survival / time to event analysis Handle machine learning using R;
Vergelijkbare producten zoals Advanced R Statistical Programming and Data Models
This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned;
Vergelijkbare producten zoals Statistical Regression and Classification: From Linear Models to Machine Learning
Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;
Vergelijkbare producten zoals Machine Learning with scikit-learn Quick Start Guide
covering deep learning and machine learning basics. It then explains how to use Scala-based ML libraries to solve classification and regression;
Vergelijkbare producten zoals Machine Learning with Scala Quick Start Guide
and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to;
Vergelijkbare producten zoals Introduction to Machine Learning with R
Python's rich suite of libraries for statistical modeling Implement regression, clustering and train neural networks from scratch Includes real;
Vergelijkbare producten zoals Training Systems Using Python Statistical Modeling
linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these;
Vergelijkbare producten zoals Linear Algebra and Optimization for Machine Learning
linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these;
Vergelijkbare producten zoals Linear Algebra and Optimization for Machine Learning
Classification and Regression is the first book to bring together, in a consistent statistical framework, the ideas of nonlinear modelling and Bayesian;
Vergelijkbare producten zoals Bayesian Methods for Nonlinear Classification and Regression
trees, both for classification and regression. Explore the practical applications of a variety of deep learning architectures, such as;
Vergelijkbare producten zoals Machine Learning Using TensorFlow Cookbook
cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge;
Vergelijkbare producten zoals An Introduction to Statistical Learning
cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge;
Vergelijkbare producten zoals An Introduction to Statistical Learning
. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best;
Vergelijkbare producten zoals Probability and Statistics for Data Science
. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best;
Vergelijkbare producten zoals Probability and Statistics for Data Science
a number of different regression models, from very simple to more complex ones. It covers the general linear model (GLM), nonlinear;
Vergelijkbare producten zoals Confidence Intervals in Generalized Regression Models
a number of different regression models, from very simple to more complex ones. It covers the general linear model (GLM), nonlinear;
Vergelijkbare producten zoals Confidence Intervals in Generalized Regression Models
is written for people who want to adopt and use the main tools of machine learning, but aren't necessarily going to want to be machine learning;
Vergelijkbare producten zoals Applied Machine Learning
supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. You'll also see unsupervised;
Vergelijkbare producten zoals Machine Learning with PySpark
their applications to real life data Covers a broad range of statistical learning models, ranging from relatively linear techniques (e.g;
Vergelijkbare producten zoals Distress Risk and Corporate Failure Modelling: The State of the Art
main chapters. Those succeeding chapters present essential topics in statistical learning: linear regression, classification, resampling;
Vergelijkbare producten zoals Statistical Learning with Math and Python
chapters. Those succeeding chapters present essential topics in statistical learning: linear regression, classification, resampling, information;
Vergelijkbare producten zoals Statistical Learning with Math and R
, statistics, and probability. * See how to evaluate and validate models. * Look at regression, classification, clustering. * Learn about neural;
Vergelijkbare producten zoals Machine Learning With Go
, and now includes the relation between regression models and machine learning, additional details on statistical inference in structured;
Vergelijkbare producten zoals Regression: Models, Methods and Applications
The book presents machine learning as an approach to building models that learn from data, and that can be used to complement the existing;
Vergelijkbare producten zoals Learning from Data for Aquatic and Geotechnical Environments
The book presents machine learning as an approach to building models that learn from data, and that can be used to complement the existing;
Vergelijkbare producten zoals Learning from Data for Aquatic and Geotechnical Environments
models using individual recipes. What you will learn Understand how to use machine learning algorithms for regression and classification problems;
Vergelijkbare producten zoals Ensemble Machine Learning Cookbook
of machine learning and goes on to cover: Knowledge discovery environments Describing data mathematically Linear decision surfaces and functions;
Vergelijkbare producten zoals Knowledge Discovery with Support Vector Machines
Einde inhoud
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