add ds business code

yishuai · Feb 22, 2024 · bf7cdc2 · bf7cdc2
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diff --git a/ai/dl/3-3-cnn.md b/ai/dl/3-3-cnn.md
@@ -50,6 +50,8 @@ title: 卷积神经元网络
 
 - Berkeley DeepRL Camp Lab 2: Introduction to Chainer. You will implement deep supervised learning using Chainer, and apply it to the MNIST dataset. [website](https://sites.google.com/view/deep-rl-bootcamp/labs)
 
+- CNN Explainer, [Website](https://poloclub.github.io/cnn-explainer/), [Github](https://github.com/poloclub/cnn-explainer), [Paper](https://arxiv.org/abs/2004.15004)
+
 ## 练习
 
 - AI4ALL MNIST Mini-Project, CNN handwritten digit recognition, [Colab](https://colab.research.google.com/drive/1iTn-955vrJ9Ezd-p99Ba-niIjwx_Ap10#scrollTo=G1O50g42BalH)

diff --git a/ai/ds/1-intro.md b/ai/ds/1-intro.md
@@ -28,7 +28,7 @@ title: 数据科学入门
 
 - 微软：https://github.com/microsoft/Data-Science-For-Beginners
 
-- Data Science for Business. Foster Provost and Tom Fawcett, 2013, 中文版：商战数据挖掘
+- Data Science for Business. Foster Provost and Tom Fawcett, 2013, 中文版：商战数据挖掘，NYU 课程代码：[Foster 2021](https://github.com/bwolfson2/dsclass2022)，[2021 夏](https://github.com/bwolfson2/data_biz_2021) ，[2022](https://github.com/bwolfson2/dsclass2022)
 
 - Book Machine Learning: The Art and Science of Algorithms that Make Sense of Data
 

diff --git a/ai/index.md b/ai/index.md
@@ -9,5 +9,6 @@ title: 人工智能
 2. [深度学习模型](dl)
 3. [增强学习原理与实践](rl)
 4. [大语言模型的原理和实践](llm)
+5. [生成流网络](gfn)
 
 <br/>
diff --git a/ai/project/23-python.md b/ai/project/23-python.md
@@ -31,7 +31,7 @@ title: Python
 
 ## Python 数据分析
 
-课本：Python for Data Analysis， 3rd Version， [Website](https://wesmckinney.com/book/)
+课本：Python for Data Analysis， 3rd Version， [Website](https://wesmckinney.com/book/), [Code](https://github.com/wesm/pydata-book)
 
 Pandas cheat sheet，[PDF](https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf)
 
@@ -43,6 +43,12 @@ Pandas cheat sheet，[PDF](https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf)
 
 - C 部分是大数据的 SPARK 的入门练习，包括 RDD、DataFrame、SQL、机器学习。
 
+## 商业数据科学
+
+课本，Data Science for Business. Foster Provost and Tom Fawcett, 2013, 中文版：商战数据挖掘
+
+NYU 课程代码：[Foster 2021](https://github.com/bwolfson2/dsclass2022)，[2021 夏](https://github.com/bwolfson2/data_biz_2021) ，[2022](https://github.com/bwolfson2/dsclass2022)，
+
 ## ML 应用开发
 
 - Streamlit — A faster way to build and share data apps, [Github](https://github.com/streamlit/streamlit)