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Sebastian Raschka Vahid Mirjalili Python Machine Learning - (Digital)
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Standort: Rushden, Vereinigtes Königreich
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eBay-Artikelnr.:357212540168
Artikelmerkmale
- Artikelzustand
- Buchtitel
- Python Machine Learning -
- EAN
- 9781787125933
- ISBN
- 9781787125933
- Erscheinungsdatum
- 02.04.2023
- Herstellungsland und -region
- GB
- Höhe
- 235mm
- Länge
- 191mm
- Genre
- Computing & Internet
- Produktart
- Lehrbuch
- Format
- Taschenbuch
- Erscheinungsjahr
- 2017
- Anzahl der Seiten
- 622 Seiten
- Autor
- Sebastian Raschka
- Verlag
- Packt Publishing
- Publikationsname
- Python Machine Learning, Second Edition
- Sprache
- Englisch
Über dieses Produkt
Produktinformation
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. Key Features Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve and optimize your machine learning systems and algorithms Book Description . Publisher's Note: This edition from 2017 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new third edition, updated for 2020 and featuring TensorFlow 2 and the latest in scikit-learn, reinforcement learning, and GANs, has now been published. Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Using Python's open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow 1.x deep learning library. The scikit-learn code has also been fully updated to v0.18.1 to include improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities. If you've read the first edition of this book, you'll be delighted to find a balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow 1.x more deeply than ever before, and get essential coverage of the Keras neural network library, along with updates to scikit-learn 0.18.1. What You Will Learn Understand the key frameworks in data science, machine learning, and deep learning Harness the power of the latest Python open source libraries in machine learning Explore machine learning techniques using challenging real-world data Master deep neural network implementation using the TensorFlow 1.x library Learn the mechanics of classification algorithms to implement the best tool for the job Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Delve deeper into textual and social media data using sentiment analysis Who this book is for If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.
Produktkennzeichnungen
ISBN-10
1787125939
ISBN-13
9781787125933
eBay Product ID (ePID)
239786313
Produkt Hauptmerkmale
Verlag
Packt Publishing
Erscheinungsjahr
2017
Anzahl der Seiten
622 Seiten
Sprache
Englisch
Publikationsname
Python Machine Learning, Second Edition
Produktart
Lehrbuch
Autor
Sebastian Raschka
Format
Taschenbuch
Zusätzliche Produkteigenschaften
Hörbuch
No
Inhaltsbeschreibung
Paperback
Mitautor
Vahid Mirjalili
Item Height
3cm
Item Length
23cm
Item Width
19cm
Item Weight
1kg
Artikelbeschreibung des Verkäufers
Rechtliche Informationen des Verkäufers
USt-IdNr.: GB 864 1548 11
CRN: 05540102
Info zu diesem Verkäufer
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Rarewaves Outlet
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- o***6 (25)- Bewertung vom Käufer.Letzter MonatBestätigter KaufNot the first time I've bought from Rarewaves who I've never had any issue with so most likely won't be the last. They often seem to have some great products that are sometimes difficult to obtain elsewhere. They are usually well priced, products as described and in this case brand new and still sealed. First class communication and timely delivery with very secure packaging mean you never have to worry about purchasing with this A+++ Seller.
- l***y (195)- Bewertung vom Käufer.Letzter MonatBestätigter KaufOne of my favourite retailers. I always receive excellent service, and this time was no different. They have great communication with buyers. Arrived in pristine condition and were extremely well packaged (very safe and secure). They've got a huge range and very competitive prices. Worthwhile.Not the first time I've bought from Rarewaves who I've never had any issue with so most likely won't be the last. They often seem to have some great products that are sometimes difficult to obtain elsewhere
- 0***e (8808)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufOne of my favourite retailers. I always receive excellent service, and this time was no different. They have great communication with buyers. Arrived in pristine condition and were extremely well packaged (very safe and secure). They've got a huge range and very competitive prices. Worthwhile saving this seller to come back for more (there's so many other 12"s I could've bought). I give them a solid 5 stars easily.