【预订】Practical Explainable AI Using Python 9781484271575
国外库房发货,通常付款后3-5周到货!
/ 2021-12-04
/ Apress
Product Details 基本信息 ISBN-13 书号 9781484271575 Author 作者 Pradeepta Mishra Format 版本 平装-胶订 Pages Number 页数 340页 Publisher 出版社 Apress Publication Date 出版日期 2021-12-04 Language 语种 其它(含多语) Book Contents 内容简介 Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as Python XAI libraries, TensorFlow 2.0+, Keras, and custom frameworks using Python wrappers. You’ll begin with an introduction to model explainability and interpretability basics, ethical consideration, and biases in predictions generated by AI models. Next, you’ll look at methods and systems to interpret linear, non-linear, and time-series models used in AI. The boo
¥528.00
【预订】PyTorch Recipes 9781484242575
美国库房发货,通常付款后3-5周到货!
/ 2019-01-28
/ Apress
Product Details 基本信息 ISBN-13 书号 9781484242575 Author 作者 Pradeepta Mishra Format 版本 平装-胶订 Pages Number 页数 184页 Publisher 出版社 Apress Publication Date 出版日期 2019-01-28 Language 语种 英语 Book Contents 内容简介 Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you’ll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look at probability distributions using PyTorch and get acquainted with its concepts. Further you will dive into transformations and graph computations with PyTorch. Along the way you will take a look at common issues faced with neural network implementation and tensor differentiation, and get the best solutions for them. Moving on to algorithms; you will learn how PyTorch works wi
¥250.00
【预订】PyTorch Recipes 9781484289242
国外库房发货,通常付款后3-5周到货!
/ 2022-11-27
/ Apress
Product Details 基本信息 ISBN-13 书号 9781484289242 Author 作者 Pradeepta Mishra Format 版本 平装-胶订 Pages Number 页数 256页 Publisher 出版社 Apress Publication Date 出版日期 2022-11-27 Language 语种 其它(含多语) Book Contents 内容简介 Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code. You’ll start by learning how to use tensors to develop and fine-tune neural network models and implement deep learning models such as LSTMs, and RNNs. Next, you’ll explore probability distribution concepts using PyTorch, as well as supervised and unsupervised algorithms with PyTorch. This is followed by a deep dive on building models with convolutional neural networks, deep neu
¥432.00
【预订】Explainable AI Recipes 9781484290286
国外库房发货,通常付款后3-5周到货!
/ 2023-02-04
/ Apress
Product Details 基本信息 ISBN-13 书号 9781484290286 Author 作者 Pradeepta Mishra Format 版本 平装-胶订 Pages Number 页数 253页 Publisher 出版社 Apress Publication Date 出版日期 2023-02-04 Language 语种 其它(含多语) Book Contents 内容简介 Understand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining machine learning models and their algorithms. The book starts with model interpretation for supervised learning linear models, which includes feature importance, partial dependency analysis, and influential data point analysis for both classification and regression models. Next, it explains supervised learning using non-linear models and state-of-the-art frameworks such as SHAP values/scores and LIME for local interpretation. Explainability for time series models is covered using LIME and SHAP, as are
¥290.00
预订 Pytorch Recipes 9781484242575
海外仓库发货,通常付款后4-9周到货!
/ 2019-01-28
/ Apress
图书信息 书号: 9781484242575 作者: Pradeepta Mishra 装帧: 平装-胶订 页数: 184页 出版社: Apress 尺寸: 22.9 x 15.2 x 23.3 cm 出版日期: 2019-01-28 重量: 454g 语种: 其它(含多语) 内容简介 Get up to speed with the deep learning concepts of Pytorch using a proble
¥254.00
R语言数据挖掘 (印)普拉迪帕塔·米什拉(Pradeepta Mishra) 著;黄芸 译
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/ 2017-05-01
/ 机械工业出版社
¥33.80定价:¥49.00(6.9折)
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2017-05-01
/ 机械工业出版社
Product Details 基本信息 ISBN-13 书号 9787111565208 Author 作者 (印)普拉迪帕塔·米什拉(Pradeepta Mishra) 著;黄芸 译 Format 版本 平装-胶订 Pages Number 页数 187页 Publisher 出版社 机械工业出版社 Publication Date 出版日期 2017-05-01 Product Dimensions 商品尺寸 16开 Language 语种 其它(含多语) Book Contents 内容简介 本书将阐述数据挖掘的一些主题,如数学表述、在软件中的实现,以及如何据此来解决商业问题。本书旨在让读者可以从数据管理技术、探索性数据分析、数据可视化等内容着手学习,循序渐进,直至建立不错预测模型。本书也从数据科学、分析学、统计建模以及可视化等角度对数据挖掘这一概念进行了综述。
¥33.00定价:¥66.00(5折)