- 书名:Mathematical Methods in Artificial Intelligence
- 出版社:Wiley-IEEE Computer Society Pr
- 作者:Edward A. Bender
- 出版年份:1996
- 电子书格式: pdf
- 简介:Dive into the core mathematics behind artificial intelligence with Edward A. Bender’s classic text, “Mathematical Methods in Artificial Intelligence.” This comprehensive guide, published in 1996 by Wiley-IEEE Computer Society Pr, provides a robust foundation in linear algebra, calculus, probability, and statistics – all essential for understanding and developing advanced AI systems. Ideal for students and professionals seeking a rigorous mathematical approach to AI, this book remains highly relevant in today’s rapidly evolving field. Explore topics ranging from linear algebra and optimization to probability and statistical inference, crucial for mastering machine learning, deep learning, and other AI domains. Gain a competitive edge by mastering the mathematical underpinnings of AI.
- ISBN:9780818672002, 08186
- 下载地址(点击下载):
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。
评论(0)