ai cheat sheet

Author: jiaxianhua

_posts/2019-01-07-ai-cheat-sheet.md

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+---
+layout: post
+title: "ai cheat sheet"
+author: iosdevlog
+date: 2019-01-07 23:06:04 +0800
+description: ""
+category: 
+tags: []
+---
+
+在过去的几个月里，我一直在收集AI备忘单。我不时与朋友和同事分享这些内容，最近我被问到很多，所以我决定组织和分享整个系列。为了使事情更有趣并给出上下文，我为每个主要主题添加了描述和/或摘录。
+
+这是最完整的列表，Big-O就在最后，享受吧......
+
+#### 如果你喜欢这个列表，可以[在这里](https://twitter.com/intent/tweet?url=https%3A%2F%2Fbecominghuman.ai%2Fcheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463&text=Thanks%20@kojouharov%20for%20the%20AI%20%26%20Machine%20Learning%20Cheat%20Sheet%20&hashtags=%23ai%20%23machinelearning%20%23cheatsheets)告诉我  。
+
+
+注意!这可能是相关领域最全的的一份速查表，文末还列出了各种算法的复杂度统计。
+神经网络
+
+![image](http://upload-images.jianshu.io/upload_images/910914-e139e54105645b1d.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+神经网络图
+
+![image](http://upload-images.jianshu.io/upload_images/910914-f5b0e0d28b9632f3.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![image](http://upload-images.jianshu.io/upload_images/910914-e8c0b998f41f8d36.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![image](http://upload-images.jianshu.io/upload_images/910914-5efbcf8fdf625964.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+机器学习概览
+
+![image](http://upload-images.jianshu.io/upload_images/910914-2687305f191a8e68.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+机器学习：Scikit-learn算法
+
+这个部分展示了Scikit-learn中每个算法的适用范围及优缺点，可以帮你快速找到解决问题的方法。
+
+![image](http://upload-images.jianshu.io/upload_images/910914-fd355ce4bad04864.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+Scikit-learn
+
+Scikit-learn（以前称为scikits.learn）是机器学习库。 它具有各种分类，回归和聚类算法，包括支持向量机，随机森林，梯度增强，k-means和DBSCAN等。
+
+![image](http://upload-images.jianshu.io/upload_images/910914-7452498409c8ffe0.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+机器学习：算法
+
+Microsoft Azure的这款机器学习备忘单将帮助您为预测分析解决方案选择合适的机器学习算法。
+
+![image](http://upload-images.jianshu.io/upload_images/910914-62fc4d3ab3ea5e10.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+数据科学中的Python
+
+![image](http://upload-images.jianshu.io/upload_images/910914-de2fe391ae1804da.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![image](http://upload-images.jianshu.io/upload_images/910914-3931ae2f149d5d3e.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+TensorFlow
+
+![image](http://upload-images.jianshu.io/upload_images/910914-f9b4885faa552c70.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+Keras
+
+2017年，Google的TensorFlow团队决定在TensorFlow的核心库中支持Keras。 Chollet解释说，Keras被认为是一个界面而不是端到端的机器学习框架。 它提供了更高级别，更直观的抽象集，无论后端科学计算库如何，都可以轻松配置神经网络。
+
+![image](http://upload-images.jianshu.io/upload_images/910914-039d9832d0445adc.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+NumPy
+
+NumPy通过提供多维数组以及在数组上高效运行的函数和运算符来提高运算效率，需要重写一些代码，主要是使用NumPy的内部循环。
+
+![image](http://upload-images.jianshu.io/upload_images/910914-7e16a50c4f7a6dcc.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+Pandas
+
+“Pandas”这个名称来自术语““panel data ”，这是一个多维结构化数据集的计量经济学术语。
+
+![image](http://upload-images.jianshu.io/upload_images/910914-9417abccd8719510.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+数据清洗
+
+Data Wrangling 是一款好用的数据清洗软件
+
+![image](http://upload-images.jianshu.io/upload_images/910914-85e3403541377d0a.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![image](http://upload-images.jianshu.io/upload_images/910914-74400d5710ef9626.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+dplyr 和tidyr
+
+![image](http://upload-images.jianshu.io/upload_images/910914-bee26b67498dc3f0.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![image](http://upload-images.jianshu.io/upload_images/910914-6d379a589a2fc7ad.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+SciPy
+
+SciPy建立在NumPy数组对象之上，是NumPy工具集的一部分
+
+![image](http://upload-images.jianshu.io/upload_images/910914-a40a6d84d4a555d8.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+Matplotlib
+
+![image](http://upload-images.jianshu.io/upload_images/910914-b064a3fa1669448a.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+数据可视化
+
+![image](http://upload-images.jianshu.io/upload_images/910914-5c553e2681b5cbae.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![image](http://upload-images.jianshu.io/upload_images/910914-32c43cfbd669287c.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+PySpark
+
+![image](http://upload-images.jianshu.io/upload_images/910914-70e5be42ddd776a8.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+Big-O
+
+各种算法的复杂度
+
+![image](http://upload-images.jianshu.io/upload_images/910914-56455526b4fc2ab4.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![image](http://upload-images.jianshu.io/upload_images/910914-461af87d85f25297.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![image](http://upload-images.jianshu.io/upload_images/910914-49aa16606cf11de1.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![image](http://upload-images.jianshu.io/upload_images/910914-3da48c758ec8f888.jpeg?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+参考资料：
+
+Big-O Algorithm Cheat Sheet:
+
+ http://bigocheatsheet.com/
+
+Bokeh Cheat Sheet:
+
+https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Bokeh_Cheat_Sheet.pdf
+
+Data Science Cheat Sheet:
+
+ https://www.datacamp.com/community/tutorials/python-data-science-cheat-sheet-basics
+
+Data Wrangling Cheat Sheet:
+
+ https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
+
+Data Wrangling:
+
+ https://en.wikipedia.org/wiki/Data_wrangling
+
+Ggplot Cheat Sheet: 
+
+https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf
+
+Keras Cheat Sheet:
+
+ https://www.datacamp.com/community/blog/keras-cheat-sheet#gs.DRKeNMs
+
+Keras: 
+
+https://en.wikipedia.org/wiki/Keras
+
+Machine Learning Cheat Sheet:
+
+ https://ai.icymi.email/new-machinelearning-cheat-sheet-by-emily-barry-abdsc/
+
+Machine Learning Cheat Sheet: 
+
+https://docs.microsoft.com/en-in/azure/machine-learning/machine-learning-algorithm-cheat-sheet
+
+ML Cheat Sheet: 
+
+http://peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-sheet-for-scikit.html
+
+Matplotlib Cheat Sheet: 
+
+https://www.datacamp.com/community/blog/python-matplotlib-cheat-sheet#gs.uEKySpY
+
+Matpotlib:
+
+https://en.wikipedia.org/wiki/Matplotlib
+
+Neural Networks Cheat Sheet:
+
+ http://www.asimovinstitute.org/neural-network-zoo/
+
+Neural Networks Graph Cheat Sheet:
+
+ http://www.asimovinstitute.org/blog/
+
+Neural Networks: 
+
+https://www.quora.com/Where-can-find-a-cheat-sheet-for-neural-network
+
+Numpy Cheat Sheet: 
+
+https://www.datacamp.com/community/blog/python-numpy-cheat-sheet#gs.AK5ZBgE
+
+NumPy: 
+
+https://en.wikipedia.org/wiki/NumPy
+
+Pandas Cheat Sheet: 
+
+https://www.datacamp.com/community/blog/python-pandas-cheat-sheet#gs.oundfxM
+
+Pandas: 
+
+https://en.wikipedia.org/wiki/Pandas_(software)
+
+Pandas Cheat Sheet: 
+
+https://www.datacamp.com/community/blog/pandas-cheat-sheet-python#gs.HPFoRIc
+
+Pyspark Cheat Sheet: 
+
+https://www.datacamp.com/community/blog/pyspark-cheat-sheet-python#gs.L=J1zxQ
+
+Scikit Cheat Sheet:
+
+https://www.datacamp.com/community/blog/scikit-learn-cheat-sheet
+
+Scikit-learn:
+
+ https://en.wikipedia.org/wiki/Scikit-learn
+
+Scikit-learn Cheat Sheet: 
+
+http://peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-sheet-for-scikit.html
+
+Scipy Cheat Sheet:
+
+https://www.datacamp.com/community/blog/python-scipy-cheat-sheet#gs.JDSg3OI
+
+SciPy: 
+
+https://en.wikipedia.org/wiki/SciPy
+
+TesorFlow Cheat Sheet:
+
+https://www.altoros.com/tensorflow-cheat-sheet.html
+
+Tensor Flow: 
+
+https://en.wikipedia.org/wiki/TensorFlow
+
+---
+
+今天头晕，嗓子疼，眼睛痛，总之是各种的不舒服，找了个 `CheatSheet` 大全转载一下。
+
+原文：<https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463>
+作者: [Stefan Kojouharov](https://becominghuman.ai/@kojouharov)
+