000 02383cam a22002898i 4500
001 on1129775792
003 OCoLC
007 ta
008 210519s2020 flua b 001 0 eng
010 _a 2019055620
020 _a9781138315068 (pbk.)
020 _a1138315060
035 _a(OCoLC)1129775792
_z(OCoLC)1129923395
050 _aQA76.9.D343
_bR64 2020
100 1 _aRogel-Salazar, Jesus.
245 1 0 _aAdvanced data science and analytics with Python /
_cJesus Rogel-Salazar.
260 _aBoca Raton, FL :
_bCRC Press,
_c2020.
300 _axxxv, 383 p. :
_bill.
490 1 _aChapman & Hall/CRC data mining & knowledge discovery series
504 _aIncludes bibliographical references and index.
520 _a"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"-- Provided by publisher.
650 4 _aData mining.
650 4 _aPython (Computer program language)
650 4 _aDatabases.
830 0 _aChapman & Hall/CRC data mining and knowledge discovery series.
942 _2lcc
_cBK
999 _c2740
_d2740