Mastering Probabilistic Graphical Models Using Python： Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python（Ankur Ankan， Abinash Panda）（Packt Publishing 2015）

  • 书名：Mastering Probabilistic Graphical Models Using Python: Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
  • 出版社：Packt Publishing
  • 作者：Ankur Ankan, Abinash Panda
  • 出版年份：2015
  • 电子书格式： pdf
  • 简介：Dive into the world of probabilistic graphical models with this practical guide. Learn through real-world examples and clear Python code. Master concepts like Bayesian networks, Markov random fields, and inference algorithms. Ideal for data scientists, machine learning engineers, and anyone seeking to build intelligent systems. Gain hands-on experience with practical applications and improve your skills in probabilistic modeling and Python programming. Unlock the power of probabilistic graphical models for advanced data analysis and decision-making.
  • ISBN：9781784394684, 17843
  • 下载地址（点击下载）：
    隐藏内容
    本内容登录后免费查看
声明：本站所有文章，如无特殊说明或标注，均为本站原创发布。任何个人或组织，在未征得本站同意时，禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益，可联系我们进行处理。