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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2019.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 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 | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed May 15, 2019). | |
| 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. | |
| 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 O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 590 | |a Knovel |b ACADEMIC - Engineering Mgmt & leadership | ||
| 590 | |a Knovel |b ACADEMIC - General Engineering & Project Administration | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Biology, life sciences. |2 bicssc | |
| 650 | 7 | |a Computer hardware. |2 bicssc | |
| 650 | 7 | |a Consumer advice. |2 bicssc | |
| 650 | 7 | |a Information technology: general issues. |2 bicssc | |
| 650 | 7 | |a Computers. |x Buyer's Guides. |2 bisacsh | |
| 650 | 7 | |a Computers. |x Bioinformatics. |2 bisacsh | |
| 650 | 7 | |a Computers. |x General. |2 bisacsh | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 700 | 1 | |a Joshi, Prateek, |e author. | |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpPMLCE00C/toc |z Texto completo |
| 938 | |a YBP Library Services |b YANK |n 16142484 | ||
| 994 | |a 92 |b IZTAP | ||