good statistics books for data science

Comprehensive Learning Path–data Science in PythonJourney from a python noob to a kaggler on PythonSo, you want to become a data scientist or May is you is already one and want to expand your tool repository. You are landed at the right place. The aim of this page was to provide a comprehensive learning path to people new to Python for

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

Today I saw in this article how to choose the model, feel very good, write here alone.More machine learning combat can read this article: http://www.cnblogs.com/charlesblc/p/6159187.htmlIn addition to the difference between machine learning and data mining,Refer to this article: https://www.zhihu.com/question/30557267Data mining: Also known as mining, isa very broad concept.。 It literally means digging up useful information from tons of

There are thousands of packages and hundreds of functional formulas in the field of data science, although you don't need to know all of this, but it's important to have a quick look at your study. Learning Big Data includes understanding of statistics, math, programming knowledge (especially R, Python, SQL), and under

Intermediate Python for Data Science | Datacamp Https://www.datacamp.com/courses/intermediate-python-for-data-science The intermediate Python course is crucial to your data science curriculum. Learn to visualize real

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

the retention rate of active players over a period of time.For example, one of your games has successfully acquired 4,000 players thanks to some marketing behavior. On the 5th day, if the number of active players in the game reached 2000 on the day, the retention rate is 50%, if the next day (6th day) existing players reduced by 10% to 1800 people, then the 6th day game retention rate is 45%, and so on.In general, developers will count the retention rates for the first day of the game, the 7th

you don't like the learning style of interactive coding, you can also learn Google's Python lessons. This 2-day course series contains not only the Python knowledge mentioned earlier, but also some of the things that will be discussed behind it. Step 3: Learn regular expressions in the Python language You will often use regular expressions to clean up data, especially when you are working with text data. T

Deep and simple data analysis is one of the "deep and simple" series of American o'reilly press. This series is characterized by a lot of thoughts on how to make readers more comfortable to read and remember more content in the book. Although the book is thick, there are many illustrations. Illustrations and texts are often mixed together without obvious boundaries. It is really easy to read. It is easier to remember the content of a book than a book