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Advanced Data Science and Analytics with Python by Jesus Rogel-Salazar (English)

Description: Advanced Data Science and Analytics with Python by Jesus Rogel-Salazar Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description The book is intended for practitioners in data science and data analytics in both academic and business environments. It aims to present the reader with concepts in data science and analytics that were deemed to be more advanced or simply out of scope in the authors first book. Publisher 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 scienceUses Python throughoutPresents tools, alongside solved examples, with steps that the reader can easily reproduce and adapt to their needsFocuses on the practical use of the tools rather than on lengthy explanationsProvides the reader with the opportunity to use the book whenever needed rather than following a sequential pathThe 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 AuthorDr. 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. Author Biography Dr JesÚs Rogel-Salazar is a lead data scientist with experience in the field working for companies such as AKQA, IBM Data Science Studio, Dow Jones, Barclays and Tympa Health Technologies. 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. He obtained his doctorate in Physics at Imperial College London for work on quantum atom optics and ultra-cold matter.He has held a position as senior lecturer in mathematics as well as a consultant and data scientist for a number of years in a variety of industries including science, finance, marketing, people analytics and health, among others. He is the author of Data Science and Analytics with Python and Essential Matlab and Octave, both also published with CRC Press. His interests include mathematical modelling, data science and optimisation in a wide range of applications including optics, quantum mechanics, data journalism, finance and health. Details ISBN 0429446616 ISBN-13 9780429446610 Title Advanced Data Science and Analytics with Python Author Jesus Rogel-Salazar Format Hardcover Year 2020 Pages 424 Publisher Taylor & Francis Ltd GE_Item_ID:127510592; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Advanced Data Science and Analytics with Python by Jesus Rogel-Salazar (English)

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9780429446610

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: CRC Press LLC

Item Height: 1.2 in

Subject: Programming / Games, General, Statistics, Databases / General

Publication Year: 2020

Item Weight: 34.4 Oz

Type: Textbook

Author: Jesus Rogel-Salazar

Item Length: 9.4 in

Subject Area: Mathematics, Computers, Business & Economics

Item Width: 7.8 in

Series: Chapman and Hall/Crc Data Mining and Knowledge Discovery Ser.

Format: Hardcover

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