Applied Machine Learning

David Forsyth

Computer Science (R0)

Comprar el eBook

Ahorra 10 %Precio de venta: $106.127 CLP.$95.514CLP

Estás en la librería de Chile

¿No estás en Chile? Elige la librería de tu país para ver los libros que puedes comprar.

Elige tu librería

Comprar ahora

¿Por qué leer con nosotros?

Kobo anima a los amantes de los libros a leer más.

Experiencia de lectura mejorada con nuestros eReaders Kobo

Catálogo de libros extenso y relevante

Aplicación de lectura gratuita de Kobo

Sinopsis

Categorías

Acerca de este libro

Idioma:English
ISBN:9783030181147
Fecha de lanzamiento:10 may 2023
Editorial:Springer International Publishing

Edición:Springer
Formato de archivo:EPUB3
Tamaño de archivo:39.93 MB
Opciones de descarga:EPUB3 (Adobe DRM)

En esta serie

Probability and Statistics for Computer Science

David Forsyth

Lecturas relacionadas

Math for Deep Learning

Ronald T. Kneusel

$30.859

System Identification

Lennart Ljung

$144.681

Fundamentals of Deep Learning

Nithin Buduma, Nikhil Buduma, Joe Papa

$52.467

Introduction to Machine Learning, fourth edition

Ethem Alpaydin

$69.444

Machine Learning

Steven W. Knox

$86.390

Applied Geostatistics with SGeMS

Nicolas Remy, Jianbing Wu, Alexandre Boucher

$62.400

Regularized System Identification

Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung

Gratis

Fundamentals of Machine Learning for Predictive Data Analytics, second edition

John D. Kelleher, Brian Mac Namee, Aoife D'Arcy

$69.444

Generalized Additive Models

Simon N. Wood

$135.034

Hands-On Mathematics for Deep Learning

Jay Dawani

$29.893

o Gratis con Kobo Plus

Probabilistic Machine Learning

Kevin P. Murphy

$96.453

Statistical Analysis Techniques in Particle Physics

Ilya Narsky, Frank C. Porter

$98.775

Hands-On Unsupervised Learning with Python

Giuseppe Bonaccorso

$38.574

o Gratis con Kobo Plus

A Course in Statistics with R

Prabhanjan N. Tattar, Suresh Ramaiah, B. G. Manjunath

$90.248

Machine Learning - A Journey To Deep Learning: With Exercises And Answers

Andreas Miroslaus Wichert, Luis Sa-couto

$129.257

Learning Bayesian Models with R

Hari Manassery Koduvely

$29.893

o Gratis con Kobo Plus

An Introduction to Machine Learning

Miroslav Kubat

$56.180

The R Book

Elinor Jones, Simon Harden, Michael J. Crawley

$75.586

Handbook of Monte Carlo Methods

Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev

$148.124

Algorithms for Optimization

Mykel J. Kochenderfer, Tim A. Wheeler

$77.161

Gmdh-methodology And Implementation In Matlab

Godfrey C Onwubolu

$41.477

Bayesian Reasoning and Machine Learning

David Barber

$87.007

Introduction to Deep Learning Using R

Taweh Beysolow II

$66.160

Pro Deep Learning with TensorFlow

Santanu Pattanayak

$70.362

Analyzing Compositional Data with R

K. Gerald van den Boogaart, Raimon Tolosana-Delgado

$73.037

Introduction To Machine Learning In Quantitative Finance, An

Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu

$36.654

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Boris Mirkin

$37.074

Computational Statistics

Geof H. Givens, Jennifer A. Hoeting

$113.399

Python for Probability, Statistics, and Machine Learning

José Unpingco

$123.609

Statistical Foundations of Actuarial Learning and its Applications

Mario V. Wüthrich, Michael Merz

Gratis

Probability and Statistics with Reliability, Queuing, and Computer Science Applications

Kishor S. Trivedi

$111.084

Analysis and Synthesis of Fault-Tolerant Control Systems

Magdi S. Mahmoud, Yuanqing Xia

$116.486

Algorithms for Decision Making

Mykel J. Kochenderfer, Tim A. Wheeler, Kyle H. Wray

$73.302

Bayesian Essentials with R

Christian P. Robert, Jean-Michel Marin

$112.372

Machine Learning in Image Steganalysis

Hans Georg Schaathun

$96.422

Hands-On Simulation Modeling with Python

Giuseppe Ciaburro

$53.043

o Gratis con Kobo Plus

Data Analytics

Thomas A. Runkler

$41.570

Machine Learning Algorithms

Giuseppe Bonaccorso

$44.362

o Gratis con Kobo Plus

Handbook of Computational Statistics

James E. Gentle, Wolfgang Karl Härdle, Yuichi Mori

$324.786

Guide to Intelligent Data Analysis

Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn

$67.418

Fuzzy Logic with Engineering Applications

Timothy J. Ross

$77.130

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Frank L. Lewis, Derong Liu

$142.723

Graphical Models with R

Steffen Lauritzen, David Edwards, Søren Højsgaard

$89.895

Exploratory Data Analysis with MATLAB

Wendy L. Martinez, Angel R. Martinez, Jeffrey Solka

$78.229

Practical Mathematics for AI and Deep Learning

Tamoghna Ghosh, Shravan Kumar Belagal Math

$15.395

o Gratis con Kobo Plus

Data Science for Engineers

Raghunathan Rengaswamy, Resmi Suresh

$79.302

Statistical Models in S

T.J. Hastie, J. M. Chambers

$300.099

Python for Probability, Statistics, and Machine Learning

José Unpingco

$73.037

Simulation and the Monte Carlo Method

Reuven Y. Rubinstein, Dirk P. Kroese

$114.942

Machine Learning with R

Abhijit Ghatak

$64.047

Machine Learning for Engineers

Ryan G. McClarren

$61.799

Data Analytics

Shuai Huang, Houtao Deng

$129.675

Statistical Computing with R, Second Edition

Maria L. Rizzo

$129.675

Statistics with Julia

Yoni Nazarathy, Hayden Klok

$191.039

An Introduction to Object Recognition

Marco Alexander Treiber

$56.180

Modern Deep Learning for Tabular Data

Andre Ye, Zian Wang

$66.160

Fuzzy Image Processing and Applications with MATLAB

Tamalika Chaira, Ajoy Kumar Ray

$83.588

Nonlinear Regression Modeling for Engineering Applications

R. Russell Rhinehart

$108.770

Probabilistic Machine Learning for Civil Engineers

James-A. Goulet

$38.576

Monitoring Continuous Phenomena

Peter Lorkowski

$107.168

Mastering Machine Learning with scikit-learn

Gavin Hackeling

$40.504

o Gratis con Kobo Plus

Machine Learning for the Quantified Self

Mark Hoogendoorn, Burkhardt Funk

$179.802

Pro Deep Learning with TensorFlow 2.0

Santanu Pattanayak

$66.160

Classification, Parameter Estimation and State Estimation

Bangjun Lei, Guangzhu Xu, Ming Feng, Yaobin Zou, Ferdinand van der Heijden, Dick de Ridder, David M. J. Tax

$108.770

Neural Networks: Tricks of the Trade

Grégoire Montavon, Geneviève Orr, Klaus-Robert Müller

$168.562

Data Science and Predictive Analytics

Ivo D. Dinov

$95.514

An Introduction to Pattern Recognition and Machine Learning

Paul Fieguth

$101.133

Hands-On Simulation Modeling with Python

Giuseppe Ciaburro

$40.504

o Gratis con Kobo Plus

Basic Elements of Computational Statistics

Yarema Okhrin, Ostap Okhrin, Wolfgang Karl Härdle

$73.037

Algorithms and Programs of Dynamic Mixture Estimation

Ivan Nagy, Evgenia Suzdaleva

$56.180

Modern Methodology and Applications in Spatial-Temporal Modeling

Gareth William Peters, Tomoko Matsui

$56.180

An Introduction to Sequential Monte Carlo

Nicolas Chopin, Omiros Papaspiliopoulos

$78.657

Advances in Principal Component Analysis

Ganesh R. Naik

$123.609

Fast Sequential Monte Carlo Methods for Counting and Optimization

Reuven Y. Rubinstein, Ad Ridder, Radislav Vaisman

$105.682

Pattern Recognition and Classification

Geoff Dougherty

$112.372

Multivariate Kernel Smoothing and Its Applications

José E. Chacón, Tarn Duong

$76.086

Learning in Non-Stationary Environments

Moamar Sayed-Mouchaweh, Edwin Lughofer

$157.324

Ver más por autor

Denver's Lakeside Amusement Park

David Forsyth

$23.883

The Handbook of New Zealand Mammals

Carolyn King, David Forsyth

$93.366

Global Force

David Forsyth

$28.689

Probability and Statistics for Computer Science

David Forsyth

$56.180

¿Te ha gustado el libro?

¡Sé la primera persona en valorar y reseñar este libro!

Esta es nuestra librería de Chile.

Applied Machine Learning

¿Por qué leer con nosotros?

Sinopsis

Acerca de este libro

Detalles del libro

Cómo leer

En esta serie

Probability and Statistics for Computer Science

Lecturas relacionadas

Math for Deep Learning

System Identification

Fundamentals of Deep Learning

Introduction to Machine Learning, fourth edition

Machine Learning

Applied Geostatistics with SGeMS

Regularized System Identification

Fundamentals of Machine Learning for Predictive Data Analytics, second edition

Generalized Additive Models

Hands-On Mathematics for Deep Learning

Probabilistic Machine Learning

Statistical Analysis Techniques in Particle Physics

Hands-On Unsupervised Learning with Python

A Course in Statistics with R

Machine Learning - A Journey To Deep Learning: With Exercises And Answers

Learning Bayesian Models with R

An Introduction to Machine Learning

The R Book

Handbook of Monte Carlo Methods

Algorithms for Optimization

Gmdh-methodology And Implementation In Matlab

Bayesian Reasoning and Machine Learning

Introduction to Deep Learning Using R

Pro Deep Learning with TensorFlow

Analyzing Compositional Data with R

Introduction To Machine Learning In Quantitative Finance, An

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Computational Statistics

Python for Probability, Statistics, and Machine Learning

Statistical Foundations of Actuarial Learning and its Applications

Probability and Statistics with Reliability, Queuing, and Computer Science Applications

Analysis and Synthesis of Fault-Tolerant Control Systems

Algorithms for Decision Making

Bayesian Essentials with R

Machine Learning in Image Steganalysis

Hands-On Simulation Modeling with Python

Data Analytics

Machine Learning Algorithms

Handbook of Computational Statistics

Guide to Intelligent Data Analysis

Fuzzy Logic with Engineering Applications

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Graphical Models with R

Exploratory Data Analysis with MATLAB

Practical Mathematics for AI and Deep Learning

Data Science for Engineers

Statistical Models in S

Python for Probability, Statistics, and Machine Learning

Simulation and the Monte Carlo Method

Machine Learning with R

Machine Learning for Engineers

Data Analytics

Statistical Computing with R, Second Edition

Statistics with Julia

An Introduction to Object Recognition

Modern Deep Learning for Tabular Data

Fuzzy Image Processing and Applications with MATLAB

Nonlinear Regression Modeling for Engineering Applications

Probabilistic Machine Learning for Civil Engineers

Monitoring Continuous Phenomena

Mastering Machine Learning with scikit-learn

Machine Learning for the Quantified Self

Pro Deep Learning with TensorFlow 2.0

Classification, Parameter Estimation and State Estimation

Neural Networks: Tricks of the Trade

Data Science and Predictive Analytics

An Introduction to Pattern Recognition and Machine Learning

Hands-On Simulation Modeling with Python

Basic Elements of Computational Statistics

Algorithms and Programs of Dynamic Mixture Estimation