Librarian View

a| 1787125939 q| (paperback)

a| 9781787125933 q| (paperback)

a| (OCoLC)994987320

a| (OCoLC)ocn994987320

a| YDX b| eng e| rda c| YDX d| UUM d| OCLCF d| NZAUC d| HKP d| HK-SYU

a| QA76.73.P98 b| R37 2017

a| 005.133 b| RAS 2017

a| Raschka, Sebastian, e| author.

a| Python machine learning : b| machine learning and deep learning with Python, scikit-learn, and TensorFlow / c| Sebastian Raschka, Vahid Mirajalili.

a| Machine learning and deep learning with Python, scikit-learn, and TensorFlow

a| Second edition, fully revised and updated

a| Birmingham, UK : b| Packt Publishing, c| [2017].

c| ©2017

a| xviii, 595 pages : b| illustrations ; c| 24 cm

a| text b| txt 2| rdacontent

a| unmediated b| n 2| rdamedia

a| volume b| nc 2| rdacarrier

a| Includes index.

a| "Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book * 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 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. 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 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 In Detail 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. "--Publisher's description.

a| Python (Computer program language)

a| Machine learning.

a| Mirajalili, Vahid, e| author.

a| nlw b| wlc c| wsl

a| book b| 14-12-24

h| Principal l| location i| barcode y| id f| bookplate a| callnoa b| callnob n| DSA215