Machine Learning(共36册),这套丛书还有 《Deep Learning》《Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning)》《Foundations of Machine Learning》《Gaussian Processes for Machin
频率派 Bayesian贝叶斯派 概率是用来衡量不确定性 (uncertainty) 的 不确定性可以分为:模型不确定性(model uncertainty)或者认知不确定性,数据不确定性(data uncertainty) 事件的条件独立性 (Conditional independence of events) The event A is conditional independent of event B ifPr(A|B)=Pr(A). ...
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series) 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...
《现货 概率机器学习:基础 Probabilistic Machine Learning: An Introduction 谷歌研究科学家 凯文科菲 新书》,作者:现货 概率机器学习:基础 Probabilistic Machine Learning: An Introduction 谷歌研究科学家 凯文科菲 新书Kevin P. Murphy 著,出版社:The MIT Press,
Adaptive Computation and Machine Learning(共36册), 这套丛书还有 《Introduction to Online Convex Optimization, second edition》《Learning with Kernels》《Foundations of Computer Vision》《Probabilistic Graphical Models》《Foundations of Machine Learning》 等。
Social Psychology and Human Nature 6th Edition (2024, Cengage Learning) 346 p. Ground Water and Well Drilling (2019) 507 p. Textbook of Surgery (2022) _部分2 528 p. Textbook of Surgery (2022) _部分1 314 p. Influencer Boot Camp _ A Guide to Building a Successful Social Media ...
Probabilistic Machine Learning An Introduction 概率机器学习 导论 精装 英文原版 英文版 作者:Kevin出版社:MIT Press出版时间:2022年07月 手机专享价 ¥ 当当价 降价通知 ¥1065 配送至 广东广州市 至 北京市东城区 服务 由“瑞雅图书专营店”发货,并提供售后服务。
Probabilistic Machine Learning: An Introduction Probabilistic Machine Learning: Advanced Topics 备注: 这套书的第二本尚未定稿。更新的github项目 github.com/probml/pml2- 推荐理由 1对ML相关从业者 《Machine Learning: A Probabilistic Perspective》作者的新书,应该不用太多吹嘘。 必读。特别是对更完善的理论框...
Baraddur 参与任务:1件 被采纳率:100% 2023-08-09 20:37:42 Kevin P. Murphy - Probabilistic Machine Learning:An Introduction(2022) [大小:22.87 MB ] [页数:854 ]高额悬赏 5000积分 求分享 GJB299D 剩余名额 :1人 截止时间 :2天 后截止 3000积分 AOUABEAM □ボットシ... 剩余名额 :1人 截止...
This book is a comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. - free b