000 | 02343nam a22002297a 4500 | ||
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999 |
_c193 _d193 |
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005 | 20190824113154.0 | ||
008 | 190824b ||||| |||| 00| 0 eng d | ||
020 | _a9781491901427 | ||
082 |
_a519.502855133 _bGRU |
||
100 |
_aGrus, Joel _9395 |
||
245 | _aData science from scratch: first principles with Python | ||
260 |
_bO'Reilly Media _aSebastopol _c2015 |
||
300 | _axvi, 311 p. | ||
365 |
_aINR _b800.00 |
||
504 | _aTable of Content Introduction A crash course in Python Visualizing data Linear algebra Statistics Probability Hypothesis and inference Gradient descent Getting data Working with data Machine learning k-Nearest neighbors Naive bayes Simple linear regression Multiple regression Logistic regression Decision trees Neural networks Clustering Natural language processing Network analysis Recommender systems Databases and SQL MapReduce Go forth and do data science. | ||
520 | _aData science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out.Get a crash course in PythonLearn the basics of linear algebra, statistics, and probability--and understand how and when they're used in data scienceCollect, explore, clean, munge, and manipulate dataDive into the fundamentals of machine learningImplement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clusteringExplore recommender systems, natural language processing, network analysis, MapReduce, and databases. | ||
650 |
_aPython (Computer program language) _9396 |
||
650 |
_aData structures (Computer science) _9397 |
||
650 |
_aDatabase management _9398 |
||
650 |
_aData mining _9365 |
||
942 |
_2ddc _cBK |