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Machine learning using R

131759
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Behavior Analysis with Machine Learning Using R
90 折
出版日:2024/01/29 作者:Enrique Garcia Ceja  出版社:CRC PR INC  裝訂:平裝
優惠價: 9 3236
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Machine Learning Using R ― With Time Series and Industry-based Use Cases in R
滿額折
出版日:2019/01/04 作者:Karthik Ramasubramanian; Abhishek Singh  出版社:Apress  裝訂:平裝
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use i
優惠價: 1 2660
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Behavior Analysis with Machine Learning Using R
90 折
出版日:2021/11/26 作者:Enrique Garcia Ceja  出版社:CRC PR INC  裝訂:精裝
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
出版日:2021/08/13 作者:Swati Patel  出版社:BLUES KIDS OF AMER  裝訂:平裝
優惠價: 1 3240
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Applied Analytics Through Case Studies Using SAS & R ― Implementing Predictive Models and Machine Learning Techniques
滿額折
出版日:2018/08/04 作者:Deepti Gupta  出版社:Apress  裝訂:平裝
Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This bo
優惠價: 1 2470
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Advanced R Statistical Programming and Data Models ― Analysis, Machine Learning, and Visualization
90 折
出版日:2019/03/02 作者:Matt Wiley; Joshua F. Wiley  出版社:Apress  裝訂:平裝
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapt
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
R語言機器學習(簡體書)
滿額折
出版日:2018/06/01 作者:(印度)卡西克‧拉瑪蘇布蘭馬尼安  出版社:機械工業出版社  裝訂:平裝
本書講解的是在R語言平臺上使用大數據技術構建可擴展機器學習模型的新技術成果。它全面展示了如何採用機器學習算法在原始數據的基礎上構建機器學習模型。本書還能讓那些希望利用ApacheHadoop、Hive、Pig和Spark來實現可擴展機器學習模型的讀者從中受益。
優惠價: 87 517
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出版日:2015/10/30 作者:Hari M. Koduvely  出版社:Packt Pub Ltd  裝訂:平裝
Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problemsAbout This BookUnderstand the principles of Bayesian Inference with less mathematical
優惠價: 1 2219
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出版日:2015/07/31 作者:Brett Lantz  出版社:Lightning Source Inc  裝訂:平裝
Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning
優惠價: 1 3119
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出版日:2013/07/31 作者:Brett Lantz  出版社:Lightning Source Inc  裝訂:平裝
Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning
優惠價: 1 3479
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Practical Machine Learning and Image Processing ― For Facial Recognition, Object Detection, and Pattern Recognition Using Python
滿額折
出版日:2019/03/01 作者:Himanshu Singh  出版社:Apress  裝訂:平裝
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using r
優惠價: 1 2470
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出版日:2018/01/31 作者:Md. Rezaul Karim  出版社:Packt Pub Ltd  裝訂:平裝
Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.Key FeaturesExplore machine learning techniques with prominent ope
優惠價: 1 2819
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出版日:2016/01/31 出版社:Packt Pub Ltd  裝訂:平裝
Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniquesAbout This BookFully-coded working examples using a wide range of machine learning libraries and
優惠價: 1 2939
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Data Mining ─ Practical Machine Learning Tools and Techniques
90 折
出版日:2011/01/04 作者:Ian H. Witten; Eibe Frank; Geoffrey Holmes  出版社:新月圖書  裝訂:平裝
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in r
優惠價: 9 1125
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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
90 折
出版日:2020/08/17 作者:Shrirang Ambaji Kulkarni; Varadrah P. Gurupur and Steven L. Fernandes  出版社:Chapman & Hall  裝訂:平裝
This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for
優惠價: 9 2749
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Introduction to Computer Vision, Machine Learning, and Deep Learning Applications using Raspberry Pi
90 折
出版日:2020/08/17 作者:Shrirang Ambaji Kulkarni; Varadrah P. Gurupur and Steven L. Fernandes  出版社:Chapman & Hall  裝訂:精裝
This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Cognitive Computing Recipes ― Artificial Intelligence Solutions Using Microsoft Cognitive Services and Tensorflow
滿額折
出版日:2019/02/25 作者:Adnan Masood; Adnan Hashmi  出版社:Apress  裝訂:平裝
Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday de
優惠價: 1 1520
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出版日:2018/10/30 作者:Eduonix Learning Solutions  出版社:Packt Pub Ltd  裝訂:平裝
Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learnKey FeaturesDevelop a range of healthcare analytics projects using real-world datasetsImplement key machin
優惠價: 1 1499
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出版日:2018/01/22 作者:Dipanjan Sarkar; Raghav Bali; Tushar Sharma  出版社:Apress  裝訂:平裝
Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosyste
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Machine-learning Techniques in Economics ― New Tools for Predicting Economic Growth
90 折
出版日:2018/01/08 作者:Atin Basuchoudhary; James T. Bang; Tinni Sen  出版社:Springer Verlag  裝訂:平裝
This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer
優惠價: 9 3038
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Thoughtful Machine Learning With Python ─ A Test-driven Approach
滿額折
出版日:2015/11/25 作者:Matthew Kirk  出版社:Oreilly & Associates Inc  裝訂:平裝
By teaching you how to code machine-learning algorithms using a test-driven approach, this practical book helps you gain the confidence you need to use machine learning effectively in a business envir
優惠價: 1 2364
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Machine Learning for Engineers
滿額折
出版日:2022/08/31 作者:Osvaldo Simeone  出版社:Cambridge Univ Pr  裝訂:精裝
This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slide
優惠價: 9 3217
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Data Management in Machine Learning Systems
滿額折
出版日:2019/02/25 作者:Matthias Boehm; Arun Kumar; Jun Yang; H. V. Jagadish (EDT)  出版社:Morgan & Claypool  裝訂:平裝
Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing these ML workloads in an efficient and scala
優惠價: 1 3767
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An Introduction to Machine Learning
90 折
出版日:2017/09/08 作者:Miroslav Kubat  出版社:Springer-Verlag New York Inc  裝訂:精裝
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevan
優惠價: 9 3240
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出版日:2017/01/19 作者:Maria De Marsico; Michele Nappi; Proen?? Hugo Pedro  出版社:Academic Pr  裝訂:精裝
Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics provides a unique picture of the complete ‘in-the-wild’ biometri
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Python for Probability, Statistics, and Machine Learning
90 折
出版日:2016/03/29 作者:Jose Unpingco  出版社:Springer Verlag  裝訂:精裝
This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and n
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
An Introduction to Machine Learning
90 折
出版日:2015/07/24 作者:Miroslav Kubat  出版社:Springer Verlag  裝訂:精裝
This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of inter
優惠價: 9 2430
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出版日:2015/06/29 作者:Mathias Brandewinder  出版社:Springer Verlag  裝訂:平裝
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-
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Machine Learning Paradigms ― Applications in Recommender Systems
90 折
出版日:2015/06/25 作者:Aristomenis S. Lampropoulos; George A. Tsihrintzis  出版社:Springer Verlag  裝訂:精裝
This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Machine Learning in Python ─ Essential Techniques for Predictive Analysis
滿額折
出版日:2015/03/30 作者:Michael Bowles  出版社:John Wiley & Sons Inc  裝訂:平裝
Learn a simpler and more effective way to analyze data and predict outcomes with PythonMachine Learning in Python shows you how to successfully analyze data using only two core machine learning algori
優惠價: 9 1710
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Distributed Machine Learning with Pyspark: Migrating Effortlessly from Pandas and Scikit-Learn
滿額折
出版日:2023/11/12 作者:Abdelaziz Testas  出版社:Apress  裝訂:平裝
Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using
優惠價: 1 2090
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Probabilistic Machine Learning
79 折
出版日:2022/02/01 作者:Kevin P. Murphy  出版社:Mit Pr  裝訂:精裝
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne
優惠:外文書周末優惠-單79雙75 優惠價: 79 5925
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Machine Learning In The Aws Cloud
滿額折
出版日:2019/08/23 作者:Mishra  出版社:John Wiley & Sons Inc  裝訂:平裝
Put the power of AWS Cloud machine learning services to work in your business and commercial applications! Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabiliti
優惠價: 9 1710
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Genetic Algorithms and Machine Learning for Programmers ― Create Ai Models and Evolve Solutions
滿額折
出版日:2019/03/07 作者:Frances Buontempo  出版社:Pragmatic Bookshelf  裝訂:平裝
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you.Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems.In this book, you will:Use heuristics and design fitness functions.Build genetic algorithms.Make nature-inspired swarms with ants, bees and particles.Create Monte Carlo simulations.Investigate cellular automata.Find minima and maxima, using hill climbing and simulated annealing.Try selection methods,
優惠價: 1 2527
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Foundations of Machine Learning
79 折
出版日:2018/12/25 作者:Mehryar Mohri; Afshin Rostamizadeh; Ameet Talwalkar; Francis Bach  出版社:Mit Pr  裝訂:精裝
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook f
優惠:外文書周末優惠-單79雙75 優惠價: 79 4029
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Industrial Applications of Machine Learning
90 折
出版日:2018/12/10 作者:Pedro Larrañaga; Alberto Ogbechie; Javier Diaz-rozo; David Atienza; Concha Bielza  出版社:CRC Pr I Llc  裝訂:精裝
Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Machine Learning with Python: A Step-By-Step Guide to Learn and Master Python Machine Learning
滿額折
出版日:2018/11/23 作者:Mr Hein Smith  出版社:Createspace Independent Pub  裝訂:平裝
Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning w
優惠價: 1 834
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Source Separation and Machine Learning
90 折
出版日:2018/11/01 作者:Jen-tzung Chien  出版社:Academic Pr  裝訂:平裝
Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It il
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
出版日:2018/10/02 作者:Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja  出版社:Springer-Nature New York Inc  裝訂:平裝
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the late
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
Ensemble Classification Methods With Applications In R
90 折
出版日:2018/09/05 作者:Alfaro  出版社:John Wiley & Sons Inc  裝訂:精裝
An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Applications in R introduces the concepts a
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
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