Python machine learning

90 折

3721.

Cost-sensitive Machine Learning

出版日：2019/09/01 作者：Balaji Krishnapuram (EDT); Shipeng Yu (EDT); R. Bharat Rao (EDT) 出版社：CRC Pr I Llc 裝訂：平裝

優惠價： 9 3238

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Agile Machine Learning ― Effective Machine Learning Inspired by the Agile Manifesto

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3722.

Agile Machine Learning ― Effective Machine Learning Inspired by the Agile Manifesto

出版日：2019/08/22 作者：Eric Carter; Matthew Hurst 出版社：Apress 裝訂：平裝

定價：3040 元

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3723.

Principles of Artificial Neural Networks ― Basic Designs to Deep Learning

出版日：2019/06/27 作者：Daniel Graupe 出版社：World Scientific Pub Co Inc 裝訂：精裝

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the

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3724.

Applied Machine Learning

出版日：2019/06/07 作者：M. Gopal 出版社：McGraw-Hill 裝訂：精裝

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3725.

An Introduction to Machine Learning

出版日：2019/05/17 作者：Gopinath Rebala; Ajay Ravi; Sanjay Churiwala 出版社：Springer Nature 裝訂：精裝

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3726.

Advanced Machine Learning with R

出版日：2019/05/16 作者：Lesmeister; Cory 出版社：Packt Publishing 裝訂：平裝

定價：1800 元

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Learn Computer Vision Using Opencv ― With Deep Learning Cnn and Rnn

90 折

3727.

Learn Computer Vision Using Opencv ― With Deep Learning Cnn and Rnn

出版日：2019/04/27 作者：Sunila Gollapudi 出版社：Apress 裝訂：平裝

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion an

優惠價： 9 1310

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3728.

Data Science for Marketing Analytics: Achieve your marketing goals with the data analytics power of Python

出版日：2019/03/30 作者：Tommy Blanchard; Debasish Behera; Pranshu Bhatnagar 出版社：Packt Pub Ltd 裝訂：平裝

Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise resultsKey FeaturesStudy new techniques for marketing analyticsExplore uses of machine learni

定價：2519 元

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Python強化學習實戰：應用OpenAI Gym和TensorFlow精通強化學習和深度強化學習（簡體書）

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3729.

Python強化學習實戰：應用OpenAI Gym和TensorFlow精通強化學習和深度強化學習（簡體書）

出版日：2019/01/01 作者：(印)蘇達桑‧拉維尚迪蘭 出版社：機械工業出版社 裝訂：平裝

強化學習是一種重要的機器學習方法，在智能體及分析預測等領域有許多應用。本書共13章，主要包括強化學習的各種要素，即智能體、環境、策略和模型以及相應平臺和庫；Anaconda、Docker、OpenAI Gym、Universe和TensorFlow等安裝配置；馬爾可夫鏈和馬爾可夫過程及其與強化學習問題建模之間的關係，動態規劃的基本概念；蒙特卡羅方法以及不同類型的蒙特卡羅預測和控制方法；時間差分學習、預測、離線/在線策略控制等；多臂賭博機問題以及相關的各種探索策略方法；深度學習的各種基本概念和RNN、LSTM、CNN等神經網絡；深度強化學習算法DQN，以及雙DQN和對抗網絡體系結構等改進架構；DRQN以及DARQN；A3C網絡的基本工作原理及架構；策略梯度和優化問題；最後介紹了強化學習的最新進展以及未來發展。

優惠價： 87 360

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Deep Learning Illustrated ― A Visual, Interactive Guide to Artificial Intelligence

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3730.

Deep Learning Illustrated ― A Visual, Interactive Guide to Artificial Intelligence

出版日：2018/12/14 作者：Jon Krohn; Beyleveld Grant; Agla? Bassens 出版社：Addison-Wesley Professional 裝訂：平裝

Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications, in organizations ranging from Googl

定價：2880 元

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3731.

Empirical Approach to Machine Learning

出版日：2018/10/25 作者：Plamen P. Angelov; Xiaowei Gu 出版社：Springer-Nature New York Inc 裝訂：精裝

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Monetizing Machine Learning ― Quickly Turn Python Ml Ideas into Web Applications on the Serverless Cloud

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3732.

Monetizing Machine Learning ― Quickly Turn Python Ml Ideas into Web Applications on the Serverless Cloud

出版日：2018/09/13 作者：Manuel Amunategui; Mehdi Roopaei 出版社：Apress 裝訂：平裝

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this

定價：3040 元

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Machine Learning and Knowledge Extraction ― Second Ifip Tc 5, Tc 8/Wg 8.4, 8.9, Tc 12/Wg 12.9 International Cross-domain Conference, Cd-make 2018, Hamburg, Germany, August 27?0, 2018, Proceedin

90 折

3733.

Machine Learning and Knowledge Extraction ― Second Ifip Tc 5, Tc 8/Wg 8.4, 8.9, Tc 12/Wg 12.9 International Cross-domain Conference, Cd-make 2018, Hamburg, Germany, August 27?0, 2018, Proceedin

出版日：2018/08/24 作者：Andreas Holzinger (EDT); Peter Kieseberg (EDT); A. Min Tjoa (EDT); Edgar Weippl (EDT) 出版社：Springer-Nature New York Inc 裝訂：平裝

This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, held in Hamburg, G

優惠價： 9 3240

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3734.

Decision Tree and Ensemble Learning Based on Ant Colony Optimization

出版日：2018/07/05 作者：Jan Kozak 出版社：Springer-Nature New York Inc 裝訂：精裝

This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be incl

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3735.

Machine Learning With R

出版日：2017/12/07 作者：Abhijit Ghatak 出版社：Springer-Verlag New York Inc 裝訂：精裝

This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory

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Computer Programming for Beginners ― Learn the Basics of Java, SQL, C, C++, C#, Python, Html, Css and Javascript

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3736.

Computer Programming for Beginners ― Learn the Basics of Java, SQL, C, C++, C#, Python, Html, Css and Javascript

出版日：2017/12/07 作者：Cooper Alvin 出版社：Createspace Independent Pub 裝訂：平裝

Welcome Future Coder! Are You Ready To Learn And Start Programming With Any Language In 2 Hours? Learning to write computer programs can be fun if you take up the right approach and this shall be the

定價：1124 元

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Elements of Causal Inference ─ Foundations and Learning Algorithms

79 折

3737.

Elements of Causal Inference ─ Foundations and Learning Algorithms

出版日：2017/11/29 作者：Jonas Peters; Dominik Janzing; Bernhard Sch?女opf 出版社：Mit Pr 裝訂：精裝

The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduct

優惠價： 79 2133

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Machine Learning With Clustering ― A Visual Guide for Beginners With Examples in Python 3

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3738.

Machine Learning With Clustering ― A Visual Guide for Beginners With Examples in Python 3

出版日：2017/10/24 作者：Artem Kovera 出版社：Createspace Independent Pub 裝訂：平裝

There are four major tasks for clustering: Making simplification for further data processing. In this case, the data is split into different groups which then are processed individually. In business,

定價：862 元

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90 折

3739.

Machine Learning in R

出版日：2017/07/15 作者：Alexandros Karatzoglou 出版社：CRC Pr I Llc 裝訂：精裝

This book provides a practical, hands-on introduction to the use of R in machine learning. Both supervised and unsupervised learning are comprehensively covered in the book, and the book explores key

優惠價： 9 3238

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Learn Python 3 the Hard Way ─ A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code

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3740.

Learn Python 3 the Hard Way ─ A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code

出版日：2017/07/10 作者：Zed A. Shaw 出版社：Addison-Wesley Professional 裝訂：平裝

You Will Learn Python! Zed Shaw has perfected the world's best system for learning Python. Follow it and you will succeed-just like the hundreds of thousands of beginners Zed has taught to date! Y

定價：1520 元

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Interaction Online Paperback With Online Resources ― Creative Activities for Blended Learning

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3741.

Interaction Online Paperback With Online Resources ― Creative Activities for Blended Learning

出版日：2017/04/30 作者：Lindsay Clandfield; Jill Hadfield 出版社：Cambridge Univ Pr 裝訂：平裝

This book is for teachers interested in incorporating interaction online into their teaching.Interaction Online is a valuable resource for anyone who wants to incorporate an aspect of online interaction in their language teaching. It is relevant for use with online, blended or face-to-face courses and appropriate for a wide range of teachers and learning contexts. This handbook contains over 75 tried and tested activities, the majority of which can be carried out either synchronously or asynchronously. Activities are purposeful and foster interaction between and among learners and instructors, rather than between learner and machine, and make use of generic tools and applications, such as discussion forums, instant message services and Facebook.

定價：1380 元

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Support Vector Machines and Perceptrons ― Learning, Optimization, Classification, and Application to Social Networks

90 折

3742.

Support Vector Machines and Perceptrons ― Learning, Optimization, Classification, and Application to Social Networks

出版日：2016/08/25 作者：Narasimha Murty; Rashmi Raghava 出版社：Springer-Verlag New York Inc 裝訂：平裝

This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including

優惠價： 9 2835

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Deep Learning Neural Networks ─ Design and Case Studies

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3743.

Deep Learning Neural Networks ─ Design and Case Studies

出版日：2016/08/02 作者：Daniel Graupe 出版社：World Scientific Pub Co Inc 裝訂：平裝

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems

優惠價： 9 1469

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3744.

Deep Learning Neural Networks ─ Design and Case Studies

出版日：2016/08/02 作者：Daniel Graupe 出版社：World Scientific Pub Co Inc 裝訂：精裝

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems

優惠價： 9 2693

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3745.

Machine Learning in Java

出版日：2016/04/29 作者：Bo Tjan Kalu 出版社：Packt Pub Ltd 裝訂：平裝

定價：2999 元

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Make Your Own Neural Network ─ A Gentle Journey Through the Mathematics of Neural Networks, and Making Your Own Using the Python Computer Language

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3746.

Make Your Own Neural Network ─ A Gentle Journey Through the Mathematics of Neural Networks, and Making Your Own Using the Python Computer Language

出版日：2016/03/31 作者：Tariq Rashid 出版社：Createspace Independent Pub 裝訂：平裝

A gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial intelligence, whi

定價：2609 元

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3747.

Test-driven Machine Learning

出版日：2015/11/27 作者：Justin Bozonier 出版社：Packt Pub Ltd 裝訂：平裝

Control your machine learning algorithms using test-driven development to achieve quantifiable milestonesAbout This BookBuild smart extensions to pre-existing features at work that can help maximize t

定價：2319 元

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3748.

Learning Beaglebone Python Programming

出版日：2015/07/20 作者：Alexander Hiam 出版社：Lightning Source Inc 裝訂：平裝

If you have experience with the Python language and are interested in getting started with electronics, then BeagleBone Black is the perfect platform for you and this book will provide you with the in

定價：2519 元

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3749.

Efficient Learning Machines ― Theories, Concepts, and Applications for Engineers and System Designers

出版日：2015/04/13 作者：Rahul Khanna; Mariette Awad 出版社：Springer Verlag 裝訂：平裝

Efficient Learning Machines explores all the major topics of machine learning, including big data, knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and gami

定價：2000 元

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3750.

Introduction to Machine Learning

出版日：2014/08/22 作者：Ethem Alpaydin 出版社：Mit Pr 裝訂：精裝

The goal of machine learning is to program computers to use example data or pastexperience to solve a given problem. Many successful applications of machine learning exist already,including systems th

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3751.

Learning to Program Using Python

出版日：2014/04/21 作者：Cody Jackson 出版社：Createspace Independent Pub 裝訂：平裝

This books teaches fundamental programming concepts using the powerful, yet easy to learn, Python programming language. Python is a cross-platform language used by organizations such as Google and NAS

定價：637 元

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3752.

Statistical Analysis Techniques In Particle Physics - Fits, Density Estimation And Supervised Learning

出版日：2013/11/13 作者：Narsky 出版社：John Wiley & Sons Inc 裝訂：平裝

Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost e

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3753.

Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications ― A Support Vector Machine Approach

出版日：2013/07/31 作者：Jenny Terzic; Edin Terzic; Romesh Nagarajah; Muhammad Alamgir 出版社：Springer Verlag 裝訂：精裝

Accurate fluid level measurement in dynamic environments can be assessed using a Support Vector Machine (SVM) approach. SVM is a supervised learning model that analyzes and recognizes patterns. It is

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3754.

Foundations of Machine Learning

出版日：2012/08/17 作者：Mehryar Mohri; Afshin Rostamizadeh; Ameet Talwalkar 出版社：Mit Pr 裝訂：精裝

This graduate-level textbook introduces fundamental concepts and methods in machinelearning. It describes several important modern algorithms, provides the theoretical underpinningsof these algorithms

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3755.

Optimization for Machine Learning

出版日：2011/09/30 作者：Suvrit Sra; Sebastian Nowozin; Stephen J. Wright 出版社：Mit Pr 裝訂：精裝

The interplay between optimization and machine learning is one of the most importantdevelopments in modern computational science. Optimization formulations and methods are proving tobe vital in design

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3756.

Optimization for Machine Learning

出版日：2011/09/30 作者：Suvrit Sra; Sebastian Nowozin; Stephen J. Wright; Suvrit Sra 出版社：Mit Pr 裝訂：平裝

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning

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3757.

Introduction to Machine Learning

出版日：2009/12/04 作者：Ethem Alpaydin 出版社：Mit Pr 裝訂：精裝

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems

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3758.

Learning Machine Translation

出版日：2008/11/14 作者：Cyril Goutte; Nicola Cancedda; Marc Dymetman; George Foster 出版社：Mit Pr 裝訂：精裝

The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research fie

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3759.

Ontology Learning and Population: Bridging the Gap Between Text and Knowledge

出版日：2008/08/30 作者：Paul Buitelaar (EDT); Philipp Cimiano (EDT) 出版社：Ios Pr Inc 裝訂：精裝

Contributors from natural language processing, machine learning, knowledge representation and engineering, and user interface design explore theories and practices by which people can learn simply by

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3760.

Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning

出版日：2008/07/07 作者：Alan Julian Izenman 出版社：Springer Verlag 裝訂：精裝

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

熱搜：

Cost-sensitive Machine Learning

Agile Machine Learning ― Effective Machine Learning Inspired by the Agile Manifesto

Principles of Artificial Neural Networks ― Basic Designs to Deep Learning

Applied Machine Learning

An Introduction to Machine Learning

Advanced Machine Learning with R

Learn Computer Vision Using Opencv ― With Deep Learning Cnn and Rnn

Data Science for Marketing Analytics: Achieve your marketing goals with the data analytics power of Python

Python強化學習實戰：應用OpenAI Gym和TensorFlow精通強化學習和深度強化學習（簡體書）

Deep Learning Illustrated ― A Visual, Interactive Guide to Artificial Intelligence

Empirical Approach to Machine Learning

Monetizing Machine Learning ― Quickly Turn Python Ml Ideas into Web Applications on the Serverless Cloud

Machine Learning and Knowledge Extraction ― Second Ifip Tc 5, Tc 8/Wg 8.4, 8.9, Tc 12/Wg 12.9 International Cross-domain Conference, Cd-make 2018, Hamburg, Germany, August 27?0, 2018, Proceedin

Decision Tree and Ensemble Learning Based on Ant Colony Optimization

Machine Learning With R

Computer Programming for Beginners ― Learn the Basics of Java, SQL, C, C++, C#, Python, Html, Css and Javascript

Elements of Causal Inference ─ Foundations and Learning Algorithms

Machine Learning With Clustering ― A Visual Guide for Beginners With Examples in Python 3

Machine Learning in R

Learn Python 3 the Hard Way ─ A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code

Interaction Online Paperback With Online Resources ― Creative Activities for Blended Learning

Support Vector Machines and Perceptrons ― Learning, Optimization, Classification, and Application to Social Networks

Deep Learning Neural Networks ─ Design and Case Studies

Deep Learning Neural Networks ─ Design and Case Studies

Machine Learning in Java

Make Your Own Neural Network ─ A Gentle Journey Through the Mathematics of Neural Networks, and Making Your Own Using the Python Computer Language

Test-driven Machine Learning

Learning Beaglebone Python Programming

Efficient Learning Machines ― Theories, Concepts, and Applications for Engineers and System Designers

Introduction to Machine Learning

Learning to Program Using Python

Statistical Analysis Techniques In Particle Physics - Fits, Density Estimation And Supervised Learning

Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications ― A Support Vector Machine Approach

Foundations of Machine Learning

Optimization for Machine Learning

Optimization for Machine Learning

Introduction to Machine Learning

Learning Machine Translation

Ontology Learning and Population: Bridging the Gap Between Text and Knowledge

Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning