Dimensionality Reduction in Machine Learning

Jamal Amani Rad,Snehashish Chakraverty,Kourosh Parand

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

Sinopsis

Categorías

Acerca de este libro

Idioma:English
ISBN:9780443328190
Fecha de lanzamiento:4 feb 2025
Editorial:Morgan Kaufmann

Formato de archivo:EPUB3
Tamaño de archivo:25.05 MB
Opciones de descarga:EPUB3 (Adobe DRM)

Lecturas relacionadas

Hands-On Mathematics for Deep Learning

Jay Dawani

$29.893

o Gratis con Kobo Plus

Fundamentals of Deep Learning

Nithin Buduma, Nikhil Buduma, Joe Papa

$52.467

Practical Mathematics for AI and Deep Learning

Tamoghna Ghosh, Shravan Kumar Belagal Math

$15.395

o Gratis con Kobo Plus

Hands-On Unsupervised Learning with Python

Giuseppe Bonaccorso

$38.574

o Gratis con Kobo Plus

The Shape of Data

Colleen M. Farrelly, Yaé Ulrich Gaba

$24.687

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

Andreas Miroslaus Wichert, Luis Sa-couto

$129.257

Deep Learning For Physics Research

Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt

$37.619

Kernel Methods and Machine Learning

S. Y. Kung

$105.464

Gmdh-methodology And Implementation In Matlab

Godfrey C Onwubolu

$41.477

Neural Networks and Statistical Learning

Ke-Lin Du, M. N. S. Swamy

$112.372

Optimization in Engineering Sciences

Pierre Borne, Dumitru Popescu, Dan Stefanoiu, Florin Gheorghe Filip

$138.865

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Boris Mirkin

$37.074

Analysis and Synthesis of Fault-Tolerant Control Systems

Magdi S. Mahmoud, Yuanqing Xia

$116.486

Introduction to Deep Learning Using R

Taweh Beysolow II

$66.160

Computer Aided Verification

Alexandra Silva, K. Rustan M. Leino

Gratis

Fundamentals of Computational Intelligence

James M. Keller, Derong Liu, David B. Fogel

$102.595

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Frank L. Lewis, Derong Liu

$142.723

Guide to Intelligent Data Analysis

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

$67.418

Cognitive Radio Communication and Networking

Robert Caiming Qiu, Zhen Hu, Husheng Li, Michael C. Wicks

$101.052

Machine Learning for Materials Discovery

N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo

$191.039

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Nello Cristianini, John Shawe-Taylor

$102.827

Adaptive Machine Learning Algorithms with Python

Chanchal Chatterjee

$49.358

Computer Aided Verification

Arie Gurfinkel, Vijay Ganesh

Gratis

Machine Learning for Engineers

Marcus J. Neuer

$56.180

Recent Advances in Algorithmic Differentiation

Shaun Forth, Paul Hovland, Eric Phipps, Jean Utke, Andrea Walther

$101.133

Information Theoretic Learning

Jose C. Principe

$224.754

Computation in Science

Konrad Hinsen

$24.694

Sparse Representation, Modeling and Learning in Visual Recognition

Hong Cheng

$101.133

Computer Aided Verification

Sharon Shoham, Yakir Vizel

Gratis

High-Dimensional Optimization and Probability

Ashkan Nikeghbali, Panos M. Pardalos, Andrei M. Raigorodskii, Michael Th. Rassias

$95.514

Data Science for Engineers

Raghunathan Rengaswamy, Resmi Suresh

$70.726

Foundations of Statistical Algorithms

Claus Weihs, Olaf Mersmann, Uwe Ligges

$101.808

Empirical Approach to Machine Learning

Plamen P. Angelov, Xiaowei Gu

$179.802

Automating Data-Driven Modelling of Dynamical Systems

Dhruv Khandelwal

$157.324

Multi-parametric Optimization and Control

Efstratios N. Pistikopoulos, Nikolaos A. Diangelakis, Richard Oberdieck

$111.084

Dimensionality Reduction in Data Science

Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng

$52.809

Formal Methods and Software Engineering

Kazuhiro Ogata, Dominique Mery, Meng Sun, Shaoying Liu

$84.276

Reinforcement Learning and Dynamic Programming Using Function Approximators

Lucian Busoniu, Robert Babuska, Bart De Schutter, Damien Ernst

$83.588

Data Science for Mathematicians

Nathan Carter

$192.910

Introduction to Data Science

WSPC/HEP

$43.408

Machine Learning for the Quantified Self

Mark Hoogendoorn, Burkhardt Funk

$179.802

Deep Learning and Computational Physics

Deep Ray, Orazio Pinti, Assad A. Oberai

$101.133

Pattern Recognition Algorithms for Data Mining

Sankar K. Pal, Pabitra Mitra

$98.593

Efficient Online Learning Algorithms for Total Least Square Problems

Xiangyu Kong, Dazheng Feng

$157.324

Learning Algorithms

P. Mars

$300.099

Adaptive Filtering Under Minimum Mean p-Power Error Criterion

Wentao Ma, Badong Chen

$262.576

Adaptive and Learning-Based Control of Safety-Critical Systems

Max Cohen, Calin Belta

$67.418

Learning Decision Sequences For Repetitive Processes—Selected Algorithms

Wojciech Rafajłowicz

$146.087

Machine Learning and Knowledge Discovery in Databases

Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken

$101.133

Formal Modeling and Analysis of Timed Systems

Sergiy Bogomolov, David Parker

$61.799

Security and Policy Driven Computing

Lei Liu

$251.859

Multi-Label Dimensionality Reduction

Liang Sun, Shuiwang Ji, Jieping Ye

$83.588

Learning in Non-Stationary Environments

Moamar Sayed-Mouchaweh, Edwin Lughofer

$157.324

Quantitative Evaluation of Systems

Alessandro Abate, Andrea Marin

$101.133

Methods and Techniques in Deep Learning

Avik Santra, Souvik Hazra, Lorenzo Servadei, Thomas Stadelmayer, Michael Stephan, Anand Dubey

$119.572

Information-Driven Machine Learning

Gerald Friedland

$61.799

Foundations of Large-Scale Multimedia Information Management and Retrieval

Edward Y. Chang

$101.133

Machine Learning Techniques for Gait Biometric Recognition

Isaac Woungang, Issa Traoré, James Eric Mason

$56.180

Quantitative Evaluation of Systems

Javier Campos, Boudewijn R. Haverkort

$56.180

Nonparametric Kernel Density Estimation and Its Computational Aspects

Artur Gramacki

$146.087

Probabilistic Search for Tracking Targets

Irad Ben-Gal, Eugene Kagan

$84.846

Machine Learning Methods

Hang Li, Lu Lin, Huanqiang Zeng

$78.657

Issues in the Use of Neural Networks in Information Retrieval

Iuliana F. Iatan

$101.133

Deep Learning Through the Prism of Tensors

Pradeep Singh, Balasubramanian Raman

$101.133

Realtime Data Mining

Alexander Paprotny, Michael Thess

$101.133

Textbook of Machine Learning and Data Mining

Hiroshi Mamitsuka

$96.451

Handbook of Big Data

Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan

$114.670

Ver más por autor

Fuzzy Arbitrary Order System

Snehashish Chakraverty, Smita Tapaswini, Diptiranjan Behera

$88.705

Applied Artificial Neural Network Methods For Engineers And Scientists: Solving Algebraic Equations

Snehashish Chakraverty, Sumit Kumar Jeswal

$59.806

Vibration of Plates

Snehashish Chakraverty

$101.808

Modeling and Computation in Vibration Problems, Volume 2

Francesco Tornabene, J N Reddy, Snehashish Chakraverty

$122.699

Functionally Graded Structures

Snehashish Chakraverty, Subrat Kumar Jena, Ömer Civalek

$122.699

Static And Dynamic Problems Of Nanobeams And Nanoplates

Snehashish Chakraverty, Laxmi Behera

$67.522

Modeling and Computation in Vibration Problems, Volume 1

Francesco Tornabene, J N Reddy, Snehashish Chakraverty

$122.699

Wave Dynamics

Snehashish Chakraverty, Perumandla Karunakar

$75.239

Assistive Robotics

Debanik Roy, Snehashish Chakraverty

$250.787

Computational Fractional Dynamical Systems

Rajarama M. Jena, Subrat K. Jena, Snehashish Chakraverty

$103.367

Concepts of Soft Computing

Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato

$84.276

Advanced Numerical and Semi-Analytical Methods for Differential Equations

Snehashish Chakraverty, Nisha Mahato, Perumandla Karunakar, Tharasi Dilleswar Rao

$90.248

Polynomial Paradigms

Snehashish Chakraverty

$122.699

Mathematical Methods in Interdisciplinary Sciences

Snehashish Chakraverty

$102.595

Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines

Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty

$157.324

Recent Advances in Applications of Computational and Fuzzy Mathematics

Snehashish Chakraverty, Sanjeewa Perera

$101.133

Assistive Robotics

Debanik Roy, Snehashish Chakraverty

$83.588

¿Te ha gustado el libro?

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

Esta es nuestra librería de Chile.

Dimensionality Reduction in Machine Learning

Sinopsis

Acerca de este libro

Detalles del libro

Detalles de accesibilidad

Cómo leer

Lecturas relacionadas

Hands-On Mathematics for Deep Learning

Fundamentals of Deep Learning

Practical Mathematics for AI and Deep Learning

Hands-On Unsupervised Learning with Python

The Shape of Data

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

Deep Learning For Physics Research

Kernel Methods and Machine Learning

Gmdh-methodology And Implementation In Matlab

Neural Networks and Statistical Learning

Optimization in Engineering Sciences

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Analysis and Synthesis of Fault-Tolerant Control Systems

Introduction to Deep Learning Using R

Computer Aided Verification

Fundamentals of Computational Intelligence

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Guide to Intelligent Data Analysis

Cognitive Radio Communication and Networking

Machine Learning for Materials Discovery

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Adaptive Machine Learning Algorithms with Python

Computer Aided Verification

Machine Learning for Engineers

Recent Advances in Algorithmic Differentiation

Information Theoretic Learning

Computation in Science

Sparse Representation, Modeling and Learning in Visual Recognition

Computer Aided Verification

High-Dimensional Optimization and Probability

Data Science for Engineers

Foundations of Statistical Algorithms

Empirical Approach to Machine Learning

Automating Data-Driven Modelling of Dynamical Systems

Multi-parametric Optimization and Control

Dimensionality Reduction in Data Science

Formal Methods and Software Engineering

Reinforcement Learning and Dynamic Programming Using Function Approximators

Data Science for Mathematicians

Introduction to Data Science

Machine Learning for the Quantified Self

Deep Learning and Computational Physics

Pattern Recognition Algorithms for Data Mining

Efficient Online Learning Algorithms for Total Least Square Problems

Learning Algorithms

Adaptive Filtering Under Minimum Mean p-Power Error Criterion

Adaptive and Learning-Based Control of Safety-Critical Systems

Learning Decision Sequences For Repetitive Processes—Selected Algorithms

Machine Learning and Knowledge Discovery in Databases

Formal Modeling and Analysis of Timed Systems

Security and Policy Driven Computing

Multi-Label Dimensionality Reduction

Learning in Non-Stationary Environments

Quantitative Evaluation of Systems

Methods and Techniques in Deep Learning

Information-Driven Machine Learning

Foundations of Large-Scale Multimedia Information Management and Retrieval

Machine Learning Techniques for Gait Biometric Recognition

Quantitative Evaluation of Systems

Nonparametric Kernel Density Estimation and Its Computational Aspects

Probabilistic Search for Tracking Targets

Machine Learning Methods

Issues in the Use of Neural Networks in Information Retrieval

Deep Learning Through the Prism of Tensors

Realtime Data Mining

Textbook of Machine Learning and Data Mining

Handbook of Big Data

Ver más por autor

Fuzzy Arbitrary Order System

Applied Artificial Neural Network Methods For Engineers And Scientists: Solving Algebraic Equations

Vibration of Plates

Modeling and Computation in Vibration Problems, Volume 2