Advanced data science and analytics with Python
"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...
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| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press,
2020.
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| Series: | Chapman & Hall/CRC data mining and knowledge discovery series.
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| Subjects: | |
| ISBN: | 9780429446641 (electronic bk) 0429446640 (electronic bk) 9780429822308 0429822308 9780429822315 0429822316 9781138315068 1138315060 9780429446610 0429446616 9780429822322 0429822324 |
| Physical Description: | 1 online resource (1 volume : illustrations (black and white.). |
Cover
Table of contents
| LEADER | 03984cam a2200529Mi 4500 | ||
|---|---|---|---|
| 001 | kn-on1154070455 | ||
| 003 | OCoLC | ||
| 005 | 20240717213016.0 | ||
| 006 | m o d | ||
| 007 | cr cn||||||||| | ||
| 008 | 200508s2020 flu ob 001 0 eng | ||
| 040 | |a AU@ |b eng |e rda |c AU@ |d YDX |d OCLCO |d EBLCP |d N$T |d TYFRS |d OCLCF |d UKAHL |d OCLCO |d OCLCQ |d SFB |d OCLCQ |d OCLCO |d OCLCL | ||
| 020 | |a 9780429446641 (electronic bk) | ||
| 020 | |a 0429446640 (electronic bk) | ||
| 020 | |a 9780429822308 |q (electronic bk. : Mobipocket) | ||
| 020 | |a 0429822308 |q (electronic bk. : Mobipocket) | ||
| 020 | |a 9780429822315 |q (electronic bk. : EPUB) | ||
| 020 | |a 0429822316 |q (electronic bk. : EPUB) | ||
| 020 | |z 9781138315068 | ||
| 020 | |z 1138315060 | ||
| 020 | |z 9780429446610 | ||
| 020 | |z 0429446616 | ||
| 020 | |a 9780429822322 |q (electronic bk.) | ||
| 020 | |a 0429822324 |q (electronic bk.) | ||
| 035 | |a (OCoLC)1154070455 |z (OCoLC)1155202754 |z (OCoLC)1155638026 |z (OCoLC)1441601763 | ||
| 100 | 1 | |a Rogel-Salazar, Jesus, |e author. | |
| 245 | 1 | 0 | |a Advanced data science and analytics with Python / |c Jesús Rogel-Salazar. |
| 264 | 1 | |a Boca Raton : |b CRC Press, |c 2020. | |
| 300 | |a 1 online resource (1 volume : |b illustrations (black and white.). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC data mining & knowledge discovery series | |
| 504 | |a Includes bibliographical references and index. | ||
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 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"-- | ||
| 505 | 0 | |a 1.No Time To Lose: Time Series Analysis2.Speaking Naturally: Text and Natural Language Processing3.Let Us Get Social: Graph Theory and Social Network Analysis4.Thinking Deeply: Neural Networks and Deep Learning5.Here Is One I Made Earlier: Machine Learning Deployment | |
| 590 | |a Knovel |b Knovel (All titles) | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Databases. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i ebook version |z 9780429822315 |
| 776 | 0 | 8 | |c Original |z 9781138315068 |z 1138315060 |z 9780429446610 |z 0429446616 |w (DLC) 2019055620 |
| 830 | 0 | |a Chapman & Hall/CRC data mining and knowledge discovery series. | |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpADSAP001/advanced-data-science?kpromoter=marc |y Full text |
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