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245 1 _aPython machine learning /
_cWei-Meng Lee.
100 _aLee, Wei-Meng,|0http://id.loc.gov/authorities/names/n2001005414|eauthor
110 _aOhio Library and Information Network.|0http://id.loc.gov/authorities/names/no95058981.
260 _aIndianapolis, IN :
_bWiley,
_c2019.
300 _axxiv, 296 pages:
_billustrations
300 _c23 cm
020 _a9781119545637
650 _aMachine learning.
_0http://id.loc.gov/authorities/subjects/sh85079324.
650 _aPython (Computer program language)
_0http://id.loc.gov/authorities/subjects/sh96008834.
944 _aCIR
050 _a005.133 W41p c2019
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953 _pHS1704
546 _ain English
953 _cHigh School Library
856 _uWiley Online Library|zConnect to resource (off-campus)|uhttp://proxy.ohiolink.edu:9099/login?url=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119557500
505 _aPython makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart-it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand. - Python data science-manipulating data and data visualization - Data cleansing - Understanding Machine learning algorithms - Supervised learning algorithms - Unsupervised learning algorithms - Deploying machine learning models Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level.
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_b2022-02-17 15:00:16
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_e2022-02-17 15:00:16
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