Python machine learning

Python 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...

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Bibliographic Details
Main Author: Lee, Wei-Meng, (Author)
Format: eBook
Language: English
Published: Indianapolis, IN : Wiley, [2019]
Subjects:
Python (Computer program language)
Machine learning.
elektronické knihy
electronic books
ISBN: 9781119545675
1119545676
9781119545699
1119545692
9781119557500
111955750X
1119545633
9781119545637
1523128453
9781523128457
Physical Description: 1 online resource (xxiv, 296 pages)

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Table of contents

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100 1 |a Lee, Wei-Meng,  |e author. 
245 1 0 |a Python machine learning /  |c Wei-Meng Lee. 
264 1 |a Indianapolis, IN :  |b Wiley,  |c [2019] 
300 |a 1 online resource (xxiv, 296 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
505 0 |a Introduction to machine learning -- Extending Python using NumPy -- Manipulating tabular data using Pandas -- Data visualization using matplotlib -- Getting started with Scikit-learn for Machine Learning -- Supervised learning : linear regression -- Supervised learning : classification using logistic regression -- Supervised learning : classification using support vector machines -- Supervised learning : classification using K-Nearest Neighbors (KNN) -- Unsupervised learning : clustering using K-Means -- Using Azure Machine Learning Studio -- Deploying machine learning models. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Python 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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Python (Computer program language) 
650 0 |a Machine learning. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Lee, Wei-Meng.  |t Python machine learning.  |d Indianapolis, IN : Wiley, 2019  |z 1119545633  |z 9781119545637  |w (OCoLC)1042350760 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpPML0000S/python-machine-learning?kpromoter=marc  |y Full text 

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