Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets

With this book, you will learn how to perform various machine learning tasks in different environments. You'll use a wide variety of machine learning algorithms using Python to solve real-world problems. By the end of the book, you will learn to implement most used machine learning algorithms u...

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Bibliographic Details
Main Authors: Ciaburro, Giuseppe, (Author), Joshi, Prateek, (Author)
Format: eBook
Language: English
Published: Birmingham, UK : Packt Publishing, 2019.
Edition: Second edition.
Subjects:
Python (Computer program language)
Machine learning.
elektronické knihy
electronic books
ISBN: 9781789800753
1789800757
9781789808452
Physical Description: 1 online resource (1 volume) : illustrations

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Table of contents

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006 m o d
007 cr cn|||||||||
008 190516s2019 enka ob 000 0 eng d
040 |a UMI  |b eng  |e rda  |e pn  |c UMI  |d OCLCF  |d YDX  |d OCLCQ  |d UKMGB  |d OCLCO  |d OCLCQ  |d ESU  |d OCLCO  |d OCLCL  |d SXB 
020 |a 9781789800753 
020 |a 1789800757 
020 |z 9781789808452 
035 |a (OCoLC)1101443695  |z (OCoLC)1091653719 
100 1 |a Ciaburro, Giuseppe,  |e author. 
245 1 0 |a Python machine learning cookbook :  |b over 100 recipes to progress from smart data analytics to deep learning using real-world datasets /  |c Giuseppe Ciaburro, Prateek Joshi. 
250 |a Second edition. 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2019. 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Previous edition published: 2016. 
504 |a Includes bibliographical references. 
505 0 |a Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd edition -- Contributors -- Table of Contents -- Preface -- Chapter 1: The Realm of Supervised Learning -- Chapter 2: Constructing a Classifier -- Chapter 3: Predictive Modeling -- Chapter 4: Clustering with Unsupervised Learning -- Chapter 5: Visualizing Data -- Chapter 6: Building Recommendation Engines -- Chapter 7: Analyzing Text Data -- Chapter 8: Speech Recognition -- Chapter 9: Dissecting Time Series and Sequential Data -- Chapter 10: Analyzing Image Content -- Chapter 11: Biometric Face Recognition -- Chapter 12: Reinforcement Learning Techniques -- Chapter 13: Deep Neural Networks -- Chapter 14: Unsupervised Representation Learning -- Chapter 15: Automated Machine Learning and Transfer Learning -- Chapter 16: Unlocking Production Issues -- Other Books You May Enjoy -- Index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 3 |a With this book, you will learn how to perform various machine learning tasks in different environments. You'll use a wide variety of machine learning algorithms using Python to solve real-world problems. By the end of the book, you will learn to implement most used machine learning algorithms using complex datasets and optimized techniques. 
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 
700 1 |a Joshi, Prateek,  |e author. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpPMLCE00C/python-machine-learning?kpromoter=marc  |y Full text 

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