Numpy Python 3

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Anaconda: The first choice for beginner Python, entry machine learning

Anaconda is the first choice for beginner Python and entry machine learning. It is a Python distribution for scientific computing that provides package management and environment management capabilities to easily handle multi-version python coexistence, switching, and various third-party package installation issues.

2.python Environment Preparation

My computer is Win7, the following is under the Win7 through the anaconda to build a Python environment Anaconda installation succeeded, open prompt common commands < yo? http://www.2cto.com/kf/ware/vc/"target= "_blank" class= "Keylink" >vcd4ncjxwcmugy2xhc3m9 "...

When to use Hadoop

Author: Chszs, reprint should be indicated. Blog homepage: Http://blog.csdn.net/chszs Someone asked me, "How much experience do you have in big data and Hadoop?"   I told them I've been using Hadoop, but I'm dealing with a dataset that's rarely larger than a few terabytes. They asked me, "Can you use Hadoop to do simple grouping and statistics?"   I said yes, I just told them I need to see some examples of file formats. They handed me a 600MB data ...

Don't get into the same old Hadoop, your data isn't big enough.

This article, formerly known as "Don t use Hadoop when your data isn ' t", came from Chris Stucchio, a researcher with years of experience, and a postdoctoral fellow at the Crown Institute of New York University, who worked as a high-frequency trading platform, and as CTO of a start-up company, More accustomed to call themselves a statistical scholar.     By the right, he is now starting his own business, providing data analysis, recommended optimization consulting services, his mail is: stucchio@gmail.com. "You ...

How to choose an open source machine learning framework

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

Why do some companies prefer to use the R + Hadoop solution in the machine learning business?

Introduction: It is well known that R is unparalleled in solving statistical problems. But R is slow at data speeds up to 2G, creating a solution that runs distributed algorithms in conjunction with Hadoop, but is there a team that uses solutions like python + Hadoop? R Such origins in the statistical computer package and Hadoop combination will not be a problem? The answer from the king of Frank: Because they do not understand the characteristics of R and Hadoop application scenarios, just ...

11 Open Source machine learning project worth Mark

Spam filtering, face recognition, recommendation engine-when you have a large dataset and want to use them to perform predictive analysis and pattern recognition, machine learning is the only way. In this science, computers can learn, analyze and manipulate data independently without prior planning, and more and more developers are now concerned with machine learning. The rise of machine learning technology is also important not only because hardware costs are getting cheaper and more powerful, but free software surges that machine learning is easily deployed on stand-alone or large-scale clusters The diversity of machine learning libraries means that whatever language you like ...

In-depth analysis of the five dimensions, the entry AI first needs to choose the direction

The pace of human use of machines to help production has never stopped. To enter the AI ??field, we must first understand the current structural system of the artificial intelligence industry.

Data Science in cloud Ipython and pandas investment analysis

This article will introduce some practical examples using IPython and pandas for investment analysis and http://www.aliyun.com/zixun/aggregation/10341.html "> Statistical analysis." Let's do a common analysis and you may be able to do it yourself. If you want to analyze stock performance, you can: find a stock in the Yahoo financial zone. Download historical data and save it in CSV file format. Will be CSV ...

OpenCV Image Processing - Crop an image to a circle

1, Requirements In order to facilitate the display of user avatars on the front of the project, the avatar needs to be processed as a circle and the non-circular area as transparent. In fact, the front-end can be displayed at the time of processing, but the front-end with WebGL, temporarily uncertain, so the image from the back-end one-time processing. So, we try to use the Linux tool Convert to complete, however, there is no solution, the subsequent decision to use Python + OpenCV. 2, to achieve good code do not need to explain, look at the code directly, O (∩ _ ∩) O. #coding: utf8 impo ...

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