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Neural Network Cheat Sheet
This machine learning cheat sheet will help you find the right estimator for the job which is the most difficult part. The flowchart will help you check the documentation and rough guide of each estimator that will help you to know more about the problems and how to solve it.
机器学习:scikit学习算法这种机器学习作弊表将帮助你找到工作,这是最困难的部分正确的估计。流程图将帮助您检查每个估计量的文档和粗略指导,这将有助于您更好地了解问题以及如何解决问题。
Scikit-learn (formerly scikits.learn) is a free software machine learninglibrary for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
scikit学习
scikit学会(原scikits。学习)是Python编程语言的一个免费软件,机器学习库。它有各种的分类,回归和算法,包括支持向量机、随机森林、梯度聚类、k-均值和DBSCAN算法,并设计与Python的数值和科学图书馆NumPy、SciPy互操作。
This machine learning cheat sheet from Microsoft Azure will help you choose the appropriate machine learning algorithms for your predictive analytics solution. First, the cheat sheet will asks you about the data nature and then suggests the best algorithm for the job.机器学习算法 :欺骗 表
这台机器学习作弊表从微软Azure将帮助您选择适当的机器学习算法为您的预测分析解决方案。首先,作弊表会问你关于数据的性质并提出这项工作的最佳方法。
Python Data Science Cheat Sheet
它提供了一个更高层次、更直观的抽象集合,使得无论后端科学计算库如何配置神经网络都很容易。
NumPy targets the CPython reference implementation of Python, which is a non-optimizing bytecode interpreter. Mathematical algorithms written for this version of Python often run much slower than compiled equivalents. NumPy address the slowness problem partly by providing multidimensional arrays and functions and operators that operate efficiently on arrays, requiring rewriting some code, mostly inner loops using NumPy.
NumPy目标Python CPython的参考实现,这是一个非优化字节码解释器。数学算法写的这个版本的Python通常比编译等价物慢得多。
NumPy解决缓慢的问题部分是由提供多维数组、函数和运算符,有效运作的数组,需要重写部分代码,主要是内循环使用numpy。
“熊猫”这个名字来源于“面板数据”这一术语,它是多维结构数据集的计量经济学术语。
The term “data wrangler” is starting to infiltrate pop culture. In the 2017 movie Kong: Skull Island, one of the characters, played by actor Marc Evan Jackson is introduced as “Steve Woodward, our data wrangler”.
SciPy builds on the NumPy array object and is part of the NumPy stack which includes tools like Matplotlib, pandas and SymPy, and an expanding set of scientific computing libraries. This NumPy stack has similar users to other applications such as MATLAB, GNU Octave, and Scilab. The NumPy stack is also sometimes referred to as the SciPy stack.[3]
SciPy建立在NumPy数组对象是对NumPy堆栈包括工具如Matplotlib、熊猫和sympy,和不断扩大的科学计算库。这堆类似NumPy用户向其他应用程序如Matlab和Scilab,GNU Octave。的NumPy堆栈有时也简称SciPy堆栈。[ 3 ]
matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-orientedAPI for embedding plots into applications using general-purpose GUI toolkitslike Tkinter, wxPython, Qt, or GTK+. There is also a procedural “pylab” interface based on a state machine (like OpenGL), designed to closely resemble that of MATLAB, though its use is discouraged.[2] SciPy makes use of matplotlib.
pyplot is a matplotlib module which provides a MATLAB-like interface.[6]matplotlib is designed to be as usable as MATLAB, with the ability to use Python, with the advantage that it is free.
Matplotlib
Data Visualization
Data Visualization Cheat Sheet
PySpark
Big-O
Big-O Algorithm Cheat Sheet