Description: Advanced Data Science and Analytics With Python, Hardcover by Rogel-salazar, Jesus, ISBN 0429446616, ISBN-13 9780429446610, Like New Used, Free P&P in the UK "Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow up from the topics discuss in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS applications. Th can be read independently from the previous volume and each of the chapters in this volume is sufficiently independent from the others providing flexibility for the reader. Each of the topics addressed in th tackles the data science workflow from a practical perspective, concentrating on the process and results obtained. The implementation and deployment of trained models are central to th. Time series analysis, natural language processing, topic modelling, social network analysis, neural networks and deep learning are comprehensively covered in th. Th discusses the need to develop data products and tackles the subject of bringing models to their intended audiences. In this case literally to the users's fingertips in the form of an iPhone app"--
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Book Title: Advanced Data Science and Analytics With Python
Number of Pages: 384 Pages
Publication Name: Advanced Data Science and Analytics with Python
Language: English
Publisher: Taylor & Francis LTD
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 916 g
Author: Jesus Rogel-Salazar
Item Width: 191 mm
Series: Chapman & Hall/Crc Data Mining and Knowledge Discovery Series
Format: Hardcover