Dine fortrolighedsindstillinger

Ved at vælge "Accepter alle", giver du Rakuten Kobo og deres partnere tilladelse til at bruge cookies, sporing og lignende teknologier til at indsamle dine personlige data og behandle dem til følgende formål: at drive hjemmesiden og Kobos tjenester og sikre, at de fungerer korrekt, at levere personligt tilpasset indhold til dig på Kobo og annoncere for Kobo på andre platforme, og at måle analyser og analysere, hvordan vores hjemmeside og tjenester bliver brugt. Ellers skal du klikke på "Afvis" nedenfor for at afvise alle ikke-væsentlige formål eller se "Databeskyttelsesindstillinger" for at administrere dine præferencer for hvert formål. Læs vores Databeskyttelsespolitik.

Probabilistic Machine Learning

Advanced Topics

Kevin P. Murphy

Adaptive Computation and Machine Learning series

Køb e-bogen

Spar 15 %Listepris: 1.090,41 kr..926,86 kr.

Du er i Danmark-butikken

Ikke i Danmark? Vælg dit lands butik for at se bøger, der kan købes.

Vælg Butik

Køb nu

Hvorfor læse hos os?

Kobo giver bogelskere mulighed for at læse mere.

Forbedret læseoplevelse med vores Kobo e-læsere

Omfattende og relevant bogkatalog

Gratis Kobo-læseapp

Synopsis

Kategorier

Om denne bog

Sprog:English
ISBN:9780262376006
Udgivelsesdato:16. nov. 2022
Udgiver:MIT Press

Tryk:The MIT Press
Filformat:EPUB3
Filstørrelse:37.63 MB
Downloadmuligheder:EPUB3 (Adobe DRM)

I denne serie

Machine Learning

Kevin P. Murphy

Probabilistic Machine Learning

Kevin P. Murphy

Relaterede læsninger

System Identification

Lennart Ljung

1.202,58 kr.

Introduction to Machine Learning, fourth edition

Ethem Alpaydin

552,11 kr.

Machine Learning

Steven W. Knox

762,99 kr.

Regularized System Identification

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

Gratis

Statistical Analysis Techniques in Particle Physics

Ilya Narsky, Frank C. Porter

872,36 kr.

Bayesian Networks

Timo Koski, John Noble

810,74 kr.

Data Analysis

Gérard Govaert

1.349,11 kr.

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

Andreas Miroslaus Wichert, Luis Sa-couto

1.074,38 kr.

Algorithms for Optimization

Mykel J. Kochenderfer, Tim A. Wheeler

613,36 kr.

Applied Bayesian Statistics

Mary Kathryn Cowles

1.027,44 kr.

Pathways to Machine Learning and Soft Computing

Jyh-Horng Jeng, 鄭志宏

56,04 kr.

eller Gratis med Kobo Plus

An Introduction to Machine Learning

Miroslav Kubat

466,97 kr.

Computational Statistics

Geof H. Givens, Jennifer A. Hoeting

1.001,49 kr.

An Elementary Introduction to Statistical Learning Theory

Sanjeev Kulkarni, Gilbert Harman

919,74 kr.

Bayesian Essentials with R

Christian P. Robert, Jean-Michel Marin

934,02 kr.

Algorithms for Decision Making

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

586,11 kr.

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

Kishor S. Trivedi

981,11 kr.

Probability, Random Variables, and Random Processes

John J. Shynk

1.212,74 kr.

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Boris Mirkin

308,17 kr.

Simulation-Based Algorithms for Markov Decision Processes

Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus

840,61 kr.

Handbook of Computational Statistics

James E. Gentle, Wolfgang Karl Härdle, Yuichi Mori

2.699,60 kr.

New Handbook of Mathematical Psychology: Volume 1, Foundations and Methodology

William H. Batchelder, Hans Colonius, Ehtibar N. Dzhafarov, Jay Myung

625,38 kr.

Fuzzy Logic with Engineering Applications

Timothy J. Ross

681,24 kr.

Adaptive Filters

Ali H. Sayed

1.389,99 kr.

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Frank L. Lewis, Derong Liu

1.260,49 kr.

Probability, Random Processes, and Statistical Analysis

Hisashi Kobayashi, Brian L. Mark, William Turin

833,84 kr.

Bayesian Filtering and Smoothing

Simo Särkkä

344,68 kr.

Local Polynomial Modelling and Its Applications

Jianqing Fan, Irene Gijbels

1.904,90 kr.

Variational Methods for Machine Learning with Applications to Deep Networks

Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto

840,61 kr.

Advanced Markov Chain Monte Carlo Methods

Faming Liang, Chuanhai Liu, Raymond Carroll

974,24 kr.

Algorithmic Learning Theory

Ronald Ortner, Hans Ulrich Simon, Sandra Zilles

466,97 kr.

Introduction to Online Convex Optimization, second edition

Elad Hazan

368,11 kr.

Chain Event Graphs

Rodrigo A. Collazo, Christiane Goergen, Jim Q. Smith

591,84 kr.

Probabilistic Machine Learning for Civil Engineers

James-A. Goulet

306,74 kr.

Handbook of Mixture Analysis

Sylvia Fruhwirth-Schnatter, Gilles Celeux, Christian P. Robert

742,52 kr.

Mixtures

Kerrie L. Mengersen, Christian Robert, Mike Titterington

810,74 kr.

Exploratory Data Analysis with MATLAB

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

591,84 kr.

Artificial Intelligence and Causal Inference

Momiao Xiong

538,03 kr.

Data Science for Engineers

Raghunathan Rengaswamy, Resmi Suresh

602,61 kr.

Artificial General Intelligence

Bas Steunebrink, Pei Wang, Ben Goertzel

466,97 kr.

Algorithms for Sparsity-Constrained Optimization

Sohail Bahmani

1.307,67 kr.

Practical Mathematics for AI and Deep Learning

Tamoghna Ghosh, Shravan Kumar Belagal Math

135,99 kr.

eller Gratis med Kobo Plus

Modern Methodology and Applications in Spatial-Temporal Modeling – E-bog af Gareth William Peters, Tomoko Matsui

Mere af denne forfatter

Kunne du lide bogen?

Vær den første til at bedømme og anmelde denne bog!

Dine fortrolighedsindstillinger

Probabilistic Machine Learning

Hvorfor læse hos os?

Synopsis

Om denne bog

Detaljer om bogen

Oplysninger om tilgængelighed

Sådan læser du

I denne serie

Machine Learning

Probabilistic Machine Learning

Relaterede læsninger

System Identification

Introduction to Machine Learning, fourth edition

Machine Learning

Regularized System Identification

Statistical Analysis Techniques in Particle Physics

Bayesian Networks

Data Analysis

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

Algorithms for Optimization

Applied Bayesian Statistics

Pathways to Machine Learning and Soft Computing

An Introduction to Machine Learning

Computational Statistics

An Elementary Introduction to Statistical Learning Theory

Bayesian Essentials with R

Algorithms for Decision Making

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

Probability, Random Variables, and Random Processes

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Simulation-Based Algorithms for Markov Decision Processes

Handbook of Computational Statistics

New Handbook of Mathematical Psychology: Volume 1, Foundations and Methodology

Fuzzy Logic with Engineering Applications

Adaptive Filters

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Probability, Random Processes, and Statistical Analysis

Bayesian Filtering and Smoothing

Local Polynomial Modelling and Its Applications

Variational Methods for Machine Learning with Applications to Deep Networks

Advanced Markov Chain Monte Carlo Methods

Algorithmic Learning Theory

Introduction to Online Convex Optimization, second edition

Chain Event Graphs

Probabilistic Machine Learning for Civil Engineers

Handbook of Mixture Analysis

Mixtures

Exploratory Data Analysis with MATLAB

Artificial Intelligence and Causal Inference

Data Science for Engineers

Artificial General Intelligence

Algorithms for Sparsity-Constrained Optimization

Practical Mathematics for AI and Deep Learning

Modern Methodology and Applications in Spatial-Temporal Modeling

The Mathematics Of Generalization

Machine Learning

An Introduction to Pattern Recognition and Machine Learning

Smoothing and Regression

Elements of Statistical Computing

Uncertainty Modeling

Statistical Inference and Machine Learning for Big Data

Decision Making Under Uncertainty and Reinforcement Learning

Learning in Non-Stationary Environments

Optimal Experimental Design

Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

The Design and Analysis of Computer Experiments

Computational Statistics in Data Science

Machine Learning for Speaker Recognition

Mixture and Hidden Markov Models with R

Advances in Modeling and Simulation

Quantitative Evaluation of Systems

Pattern Recognition and Classification

Design of Experiments in Nonlinear Models

Bayesian and High-Dimensional Global Optimization

Large-Scale Inverse Problems and Quantification of Uncertainty

Neural Networks: Tricks of the Trade

Quantitative Evaluation of Systems

Kalman Filtering Under Information Theoretic Criteria

Advanced Linear Models