【预订】Supervised Machine Learning with Python 9781838825669 美国库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9781838825669 Author 作者 Taylor Smith Format 版本 平装-胶订 Pages Number 页数 162页 Publisher 出版社 Packt Publishing Publication Date 出版日期 2019-05-03 Language 语种 英语 Book Contents 内容简介 This book is for aspiring machine learning developers who want to get started with supervised learning. Intermediate knowledge of Python programming—and some fundamental knowledge of supervised learning—are expected.
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【预订】Supervised Machine Learning in Wind Forecasting and Ramp 美国库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9780128213537 Author 作者 Dhiman Harsh S. Format 版本 平装-胶订 Pages Number 页数 216页 Publisher 出版社 Academic Press Publication Date 出版日期 2020-01-01 Product Dimensions 商品尺寸 9 x 6 x 0.4 cm Shipping Weight 商品重量 6390g Language 语种 英语
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【预售 按需印刷】Supervised Machine Learning with Python
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【预订】Supervised Machine Learning 9780367277321 美国库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9780367277321 Author 作者 Tanya Kolosova and Samuel Berestizhevsky Format 版本 精装 Pages Number 页数 176页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 2020-09-22 Language 语种 英语 Book Contents 内容简介 AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. The AI framework comprises of bootstrapping to create multiple training and testing data sets with various characteristics, design and analysis of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness of the classifiers. Key Features:Using ML methods by itself doesn’t ensure building classifiers that generalize well for new data Identifying optimal feature subsets and hyper-parameters of ML methods can be resolved using design
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【预售 按需印刷】Supervised Machine Learning for Kids (Tin 北京发货，付款后10天内发货
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Supervised Machine Learning for Text Analysis in R 978036755 现货图书
Product Details 基本信息 ISBN-13 书号 9780367554194 Author 作者 Emil Hvitfeldt and Julia Silge Format 版本 平装-胶订 Pages Number 页数 392页 Publisher 出版社 CRC Press Publication Date 出版日期 2021-10-22 Language 语种 其它（含多语） Book Contents 内容简介 Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, us
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海外直订Supervised Machine Learning for Text Analysis in R 基于监督机
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预订 Supervised Machine Learning for Text Analysis in R [ISBN: 【全球购】进口原版图书，一般5-8周左右到国内
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预订 Supervised Machine Learning [ISBN:9780367277321] 【全球购】进口原版图书，一般5-8周左右到国内
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预订 Supervised Machine Learning: A Comprehensive Guide: 97862 国外库房发货，通常付款后3-5周到货
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预订 Supervised Machine Learning with Python [ISBN:97818388256 【全球购】进口原版图书，一般5-8周左右到国内后发出
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【预订】Supervised Machine Learning for Text Analysis in R 97803 国外库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9780367554187 Author 作者 Emil Hvitfeldt and Julia Silge Format 版本 精装 Pages Number 页数 392页 Publisher 出版社 CRC Press Publication Date 出版日期 2021-10-22 Language 语种 其它（含多语） Book Contents 内容简介 Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the c
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海外直订Supervised Machine Learning for Text Analysis in R 基于监督机
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预订 Supervised Machine Learning for Text Analysis in R [ISBN: 【全球购】进口原版图书，一般5-8周左右到国内
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Product Details 基本信息 ISBN-13 书号 9780367538828 Author 作者 Kolosova Tanya Format 版本 平装-胶订 Pages Number 页数 182页 Publisher 出版社 CRC Press Publication Date 出版日期 1800-01-01 Product Dimensions 商品尺寸 9.21 x 6.14 x 0.39 Shipping Weight 商品重量 0.59 Language 语种 其它（含多语）
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3-6周达 Supervised Machine Learning in Wind Forecasting and Ra 【全球购】进口原版图书，预计3-6周左右到国内后发出
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电子书 英文原版 Supervised Machine Learning with Python [ISBN:97818 Ebook，一般10个工作日左右发出
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3-6周达 Fundamentals of Supervised Machine Learning: With Appl 【全球购】进口原版图书，预计3-6周左右到国内
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【预订】Fundamentals of Supervised Machine Learning 978303141336 国外库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9783031413360 Author 作者 Giovanni Cerulli Format 版本 精装 Pages Number 页数 321页 Publisher 出版社 Springer International Publishing Publication Date 出版日期 2023-10-15 Language 语种 其它（含多语） Book Contents 内容简介 This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness of the availability of machine learning methods over different software platforms.After introducing the machine learning basics, the focus turns to a broad spectrum of topics: model selection and regularization, discriminant analysis, nearest neighbors, support vector machines, tree modeling, artificial neural networks, deep learning, and sentiment analysis. Each chapter is self-contained and comp
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预订 Machine Learning. Supervised and unsupervised learning, l 国外库房发货，通常付款后3-5周到货
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3-6周达 Welding and Cutting Case Studies with Supervised Machi 【全球购】进口原版图书，预计3-6周左右到国内
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海外直订Welding and Cutting Case Studies with Supervised Machine
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预订 Machine Learning: Master Supervised and Unsupervised Lear 【全球购】进口原版图书，一般5-8周左右到国内后发出
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【预订】Machine Learning Foundations: Supervised, Unsupervised, 国外库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9783030659028 Author 作者 Taeho Jo Format 版本 平装-胶订 Pages Number 页数 412页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2022-02-13 Product Dimensions 商品尺寸 9.21 x 6.14 x 0.84 Shipping Weight 商品重量 1.27 Language 语种 其它（含多语） Book Contents 内容简介 This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core
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海外直订Machine Learning Foundations: Supervised, Unsupervised,
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海外直订Machine Learning Foundations: Supervised, Unsupervised,
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【预订】Machine Learning Algorithms & Markov Models Supervised a 美国库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9781978170957 Author 作者 Sullivan, William(作者) Format 版本 平装-胶订 Pages Number 页数 384页 Publisher 出版社 Createspace Independent Publishing Platform Publication Date 出版日期 1800-01-01 Product Dimensions 商品尺寸 8 x 5 x 0.7 cm Shipping Weight 商品重量 840g Language 语种 英语
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【预订】Machine Learning: Fundamental Algorithms for Supervised 美国库房发货，通常付款后3-5周到货！
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3-6周达 Semi-Supervised and Unervised Machine Learning: Novel 【全球购】进口原版图书，预计3-6周左右到国内
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海外直订Markov Models Supervised and Unsupervised Machine Learni
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海外直订Statistics for Machine Learning: Techniques for explorin
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现货 英文原版 机器学习统计 Statistics for Machine Learning: Techniques f
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【预订】Semi-Supervised and Unsupervised Machine Learning 978184 美国库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9781848212039 Author 作者 Amparo Albalate Format 版本 精装 Pages Number 页数 320页 Publisher 出版社 Wiley-ISTE Publication Date 出版日期 2011-01-07 Shipping Weight 商品重量 510g Language 语种 英语 Book Contents 内容简介 This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsuperv
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海外直订Machine Learning: Fundamental Algorithms for Supervised
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