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Wuyi Free Data Science BooksA great collection of free data science books covering a wide range of topics from data science, business Analytics, da
Post date: September 2, 2014 By: Stephen Miller Marty rose, data scientist in the acxiom product and engineering group, and an active member of the DMA analytics councel shared the following list of data science books with the councel this week, and we thought the rest of the DMA family wowould also benefit. "I didn't
revision of this book. It is the most comprehensive research on first-class computer sorting and searching technologies, it expands the data structure processing method in volume 1 and includes large and small databases, as well as memory and external storage. this book includes a careful check of computer methods and a large amount of analysis on its efficiency. this version of this book is unique in the optimized sorting, as well as a new theoretic
-oriented (object-oriented) 9Software Engineering (software engineering) 10UNIX Programming (Unix programming) 11UNIX Administration (Unix system Management) 12Networks (Network) 13Windows programming (Windows programming) 14Other (others) Bibliographic 1Mathematics (mathematics)Title (English): Discrete Mathematics and its Applications (fifth Edition)Title (Chinese): Discrete Mathematics and its Application (fifth edition)Hara Kenneth H.rosenTitle (English): Concrete mathematic
What is the difference between data Mining (mining), machine learning (learning), and artificial intelligence (AI)? What is the relationship between data science and business Analytics? Originally I thought there was no need to explain the problem, in the End data Mining (mining), machine learning (machines le
StallingsAmazon reviews: Amazon.comBook info: This book is one of the classic books by William Stallings, a famous computer professional writer. It covers the most basic data communication principles, various types of computer networks, and various network protocols and applications. this version has thoroughly revised and reorganized the original content, making the new version more comprehensive and clea
Recommendation principles:It is better to be honest and never mix in the dregs (a good book may not be suitable for everyone, but it must be a good book for its target readers ). Book selection principles:There are foreign ones, not domestic onesThere are original versions, not translatedView master's Works It is best to read textbooks from abroad for computer books, because the classic textbooks are all from abroad and the original English versions s
Operating System Principle-our development is always performed on a specific operating system. If not, there is only one possibility: You can implement an operating system on your own. In any case, the operating system principle must be read. This is like we need to know the basic operating sequence of a chip when making a peripheral device for a chip. There are also many such books, and I have not found any outstanding book. I just think that if I h
When I sorted out the downloaded files, I archived some e-books and found that many of them had collected a lot. Most of them were classic books, and some were clear and almost. I plan to transfer the files to share them later, I mainly use C \ C ++, which is basically a Windows platform, so it is basically an e-book in this aspect. I have made all my homework in year 34. -- For free, enjoy! ===============
Data science Study Notes 1. science Study Notes Mutiple Plots on One Graphplt.plot(x, norm.pdf(x))plt.plot(x, norm.pdf(x, 1.0, 0.2)) #1.0 = mean, 0.2 = DSplt.show() Use plt. savefig to save the image as blank: Solution: Call plt. savefig before plt. show (). Scatter Plot From pylab import randnX = randn (10000) Y = randn (10000) plt. scatter (X, Y) # Pay Attentio
Algorithms and data structures: Computing Science Excerpt from: algorithms and data structures: the Science of Computing By Douglas Baldwin and Greg W. scragg Translated by Liu Jianwen (http://blog.csdn.net/keminlau ) Charles River media 2004 (640 pages) ISBN: 1584502509Back Cover While computing
http://blog.csdn.net/pipisorry/article/details/44245575A very good article on how to learn python and use Python for data science, data analysis, machine learning Comprehensive learning Path–data Science in PythonDeep learning paths-da
. This allows the compiler to generate very efficient C code from the Cython code. (Project address: Https://github.com/cython/cython)Benefits: May 10 (Thursday) Eight o'clock in the evening: "Live Online" An introduction to the method of cross test for---of sorting and evaluating artifactRegistration method: identify the promotional map QR code, the successful landing site immediately after registration! Follow the public account" Pegasus "past-term benefitsconcerned about the Pegasus public nu
sliced and diced some, data would always tell a story. But without A-priori belief, the story may is not being true in reality. This was often case of hindsight bias and poor (and often staple of motivational and self-help books). If you want to find differences in and groups (successful business versus non-successful, athletes versus slobs, rich vers US poor), you can always find some. There is hundreds o
Text files are basic file types, whether CSV, XLS, JSON, XML, and so on, can be read as text files.#-*-coding:utf-8-*-Fpath ="Data/textfile.txt"F= Open (Fpath,'R')## Read characters by characterFirst_char = F.read (1)Print "First Char:", First_char## Change the location of the file object, the location is calculated according to ByteSize## If you don't move the position to the beginning, then the reading starts at the current position.f.seek (0)## Rea
http://blog.csdn.net/pipisorry/article/details/44245575A good article on how to learn python and use Python for data science, data analysis, and machine learning Comprehensive(integrated) Learning Path–data Science in PythonJourney from a pythonnoob(Novice) to a kaggler on P
valuesIs.na () is used to test whether the object is Na,is.nan () to test whether the object is Nan. Na is Nan, but Nan is not na,nan much deeper than NA.10. Data frameThe data frame is used to store tabular data and is created with Data.frame (). You can treat a data frame as a special list collection, with the same
Learning Data Science at the Command Line, Win7 under the installation environment is encountered some small problems, finally through the Baidu solution.1) After the computer installs the Vagrant+virtual box, the new working directory, CMD enters the working directory$ vagrant Init Data-science-toolbox/
This is a paper I have spent a month in my postgraduate studies. It takes only a month to design and write a paper. It can be more than just a few minutes to publish, add, modify, and wait for the paper to be published, I remember writing started in November 2010. I wrote it in December 2010. I made a draft at the end of 2010. I changed it several times in early 2011 and finally published it in May. In November 2010, my tutor said that there were many topics that could be studied on wireless se
This is a creation in Article, where the information may have evolved or changed. Video information What is Data science The struggle of Data science Integrity Deployment Do Data S
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