Data Science Projects Python

The National Aeronautics and Astronautics Research organization NASA has been in deep cooperation with http://www.aliyun.com/zixun/aggregation/13856.html "> Open source Community, and many of its projects have been open source, Special websites have been set up to showcase these projects. Iteye has also recommended some of NASA's Open-source projects. In the following article, we try to overcome the fragmentation and diversity of the open source community, taking NASA and more open source communities as examples to see if they ...

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

According to Google trends, "big data" is rarely used as a search term in 2011, but since the beginning of 2012, you can almost hear people in all walks of life talking about "big data". This is a very fast growing area, and it has spawned a lot of jobs. A McKinsey report predicts that by 2018 only the United States will have a gap between 140,000 and 180,000 people in the "in-depth analysis" of large data professionals. According to the new Vantage company, "Fortune" of the United States 5 ...

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

The computer came into my life very early. However, I have always wandered as a layman: neither a computer education nor an IT industry. Think of yourself these years in the front of the door dangling, leaving and gathering, quite sentimental. The first time close contact with primary school, the family put a Lenovo "Qin" computer. Its domineering side leaky speaker, incomparable pull the wind microphone, mysterious remote control, all shook my heart. Then the little boy would spend an afternoon studying the difference between the left and right keys and the function of the "Start" menu. In junior high School, the game became synonymous with computers. I'm buying Volkswagen software at the newsstand ...

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.

Here to find year-end inventory counts 2017 top 20 hot topics in Yunqi Community (with 100+ topic list)

Machine learning engineers are part of the team that develops products and builds algorithms and ensures that they work reliably, quickly, and on a scale.

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 ...

Editor's note: With Docker, we can deploy Web applications more easily without having to worry about project dependencies, environment variables, and configuration issues, Docker can quickly and efficiently handle all of this. This is also the main purpose of this tutorial. Here's the author: first we'll learn to run a Python Dewar application using the Docker container, and then step through a cooler development process that covers the continuous integration and release of applications. The process completes the application code on the local functional branch. In the Gith ...