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Advanced data science and analytics with python

By: Material type: TextTextSeries: Chapman & Hall/CRC data mining & knowledge discovery seriesPublication details: Oxon : CRC Press, ©2020.Description: xxxv, 383 p. : ill. ; 25 cmISBN:
  • 9781138315068
Subject(s): DDC classification:
  • 006.3 ROG-A
Contents:
1. Time Series 2. Speaking Naturally: Text and Natural Language Processing 3. Getting Social: Graph Theory and Social Network Analysis 4. Thinking Deeply: Neural Networks and Deep Learning 5. Here Is One I Made Earlier: Machine Learning Deployment
Summary: "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. The book 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 the book 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 the book. Time series analysis, natural language processing, topic modelling, social network analysis, neural networks and deep learning are comprehensively covered in the book. The book 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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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Books Books IIITD General Stacks Computer Science and Engineering 006.3 ROG-A (Browse shelf(Opens below)) Available Gifted by IIITD-IIC G02597
Total holds: 0

Includes bibliographical references and index.

1. Time Series
2. Speaking Naturally: Text and Natural Language Processing 3. Getting Social: Graph Theory and Social Network Analysis 4. Thinking Deeply: Neural Networks and Deep Learning 5. Here Is One I Made Earlier: Machine Learning Deployment

"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. The book 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 the book 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 the book. Time series analysis, natural language processing, topic modelling, social network analysis, neural networks and deep learning are comprehensively covered in the book. The book 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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