Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
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| Main Authors | , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Birmingham, UK :
Packt Publishing,
2019.
|
| Edition | Second edition. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9781789800753 1789800757 9781789808452 |
| Physical Description | 1 online resource (1 volume) : illustrations |
Cover
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| 001 | kn-on1101443695 | ||
| 003 | OCoLC | ||
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| 008 | 190516s2019 enka ob 000 0 eng d | ||
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| 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 |