出版年:2022-10-18 页数:326 定价:USD 66.99 装帧:Paperback ISBN:9781098120610 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices...
Imagine if you had to solve this set of equations without using linear algebra. Let me remind you that this data set is less than even 1% of original date set. Now imagine if you had to find parameter vector without using linear algebra. It would have taken a lots of time and effort ...
Linear algebra is the branchof mathematics that deals withvector spaces. Although I can’t hope to teach you linear algebra in a brief chapter, it underpins a large number of data science concepts and techniques, which means I owe it to you to at least try. What we learn in this chapter...
http://bing.comRuben van de Geer: A Primer (or Refresher) On Linear Algebra for Data Science 字幕版之后会放出,敬请持续关注欢迎加入人工智能机器学习群:556910946,会有视频,资料放送, 视频播放量 28、弹幕量 0、点赞数 0、投硬币枚数 0、收藏人...
Linear Algebra is a branch of mathematics that is extremely useful in data science and machine learning. Linear algebra is the most important math skill in machine learning. Most machine learning models can be expressed in matrix form. A dataset itself is often represented as a matrix. Linear ...
Linear Algebra and Learning from Data豆瓣评分:8.8 简介:This is a textbook to help readers understand the steps that lead to deep learning. Linear algebra comes first especially singular values, least squares, and matrix factorizations. Often the goal i
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(CNNs) to find patterns in data. Audience: This book is for anyone who wants to learn how data is reduced and interpreted by and understand matrix methods. Based on the second linear algebra course taught by Professor Strang, whose lectures on the training data are widely known, it starts...
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