Advanced Data Science and Analytics with Python

Released on by Jesus Rogel-Salazar
preview-18

  • Advanced Data Science and Analytics with Python Book Detail

  • Author : Jesus Rogel-Salazar
  • Release Date : 2020-05-05
  • Publisher : CRC Press
  • Genre : Business & Economics
  • Pages : 424
  • ISBN 13 : 0429822324
  • File Size : 60,60 MB
DOWNLOAD BOOK

Advanced Data Science and Analytics with Python by Jesus Rogel-Salazar PDF Summary

Book Description: 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 to the topics discussed 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. Features: Targets readers with a background in programming, who are interested in the tools used in data analytics and data science Uses Python throughout Presents tools, alongside solved examples, with steps that the reader can easily reproduce and adapt to their needs Focuses on the practical use of the tools rather than on lengthy explanations Provides the reader with the opportunity to use the book whenever needed rather than following a sequential path 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. The book discusses the need to develop data products and addresses the subject of bringing models to their intended audiences – in this case, literally to the users’ fingertips in the form of an iPhone app. About the Author Dr. Jesús Rogel-Salazar is a lead data scientist in the field, working for companies such as Tympa Health Technologies, Barclays, AKQA, IBM Data Science Studio and Dow Jones. He is a visiting researcher at the Department of Physics at Imperial College London, UK and a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK.

Disclaimer: www.yourbookbest.com does not own Advanced Data Science and Analytics with Python books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Recent Advances in Data Science

Recent Advances in Data Science

File Size : 25,25 MB
Total View : 4343 Views
DOWNLOAD

This book constitutes selected papers of the ​Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China,

Advances in Data Science

Advances in Data Science

File Size : 41,41 MB
Total View : 8009 Views
DOWNLOAD

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3

Machine Learning Paradigms

Machine Learning Paradigms

File Size : 43,43 MB
Total View : 5254 Views
DOWNLOAD

This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced