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än övriga butiker
Bokus

739 kr
Amazon
Bokbörsen
Vi har hittat boken hos 2 butiker med verifierade priser — alla är partnerbutiker som vi får provision från när du klickar på ”Visa hos butik”. Vissa butiker visas som extern länk utan pris — priset ser du först hos butiken. Priset för dig är detsamma. Frakt kan tillkomma och varierar mellan butiker och leveranssätt — kontrollera alltid aktuellt pris och leveransvillkor hos butiken innan du slutför köpet.
Skriver du om boken på en blogg eller sajt? .
Priset har nyligen gått ner jämfört med butikens eget tidigare pris.
Det lägsta priset vi sett för boken sedan Booki började mäta.
Billigaste butiken ligger under de övriga butikernas medianpris just nu — en jämförelse mellan butiker, inte ett prisfall över tid.
Butiken med lägst pris i prislistan på boksidan just nu.
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.
Okej pris
Bokus
50 kr dyrare
Rör sig ofta
Författare
Jesus Rogel-Salazar
Serie
Chapman & Hall/CRC data mining & knowledge discovery series
Förlag
CRC Press
Utgivningsår
2020
Sidantal
383
Språk
Engelska
Dewey
006.312
ISBN
9781138315068
Bokus

739 kr
Amazon
Bokbörsen
Vi har hittat boken hos 2 butiker med verifierade priser — alla är partnerbutiker som vi får provision från när du klickar på ”Visa hos butik”. Vissa butiker visas som extern länk utan pris — priset ser du först hos butiken. Priset för dig är detsamma. Frakt kan tillkomma och varierar mellan butiker och leveranssätt — kontrollera alltid aktuellt pris och leveransvillkor hos butiken innan du slutför köpet.
Skriver du om boken på en blogg eller sajt? .
Priset har nyligen gått ner jämfört med butikens eget tidigare pris.
Det lägsta priset vi sett för boken sedan Booki började mäta.
Billigaste butiken ligger under de övriga butikernas medianpris just nu — en jämförelse mellan butiker, inte ett prisfall över tid.
Butiken med lägst pris i prislistan på boksidan just nu.
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.
Okej pris
Bokus
50 kr dyrare
Rör sig ofta
Författare
Jesus Rogel-Salazar
Serie
Chapman & Hall/CRC data mining & knowledge discovery series
Förlag
CRC Press
Utgivningsår
2020
Sidantal
383
Språk
Engelska
Dewey
006.312
ISBN
9781138315068
”23% billigare” visar hur mycket lägre det billigaste priset är än medianpriset hos de övriga butikerna just nu — inte ett tidsbegränsat prisfall.
ISBN 9781138315068 jämförs hos alla butiker
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.
Okej pris
Bokus
50 kr dyrare
Rör sig ofta
Författare
Jesus Rogel-Salazar
Serie
Chapman & Hall/CRC data mining & knowledge discovery series
Förlag
CRC Press
Utgivningsår
2020
Sidantal
383
Språk
Engelska
ISBN
9781138315068
Det lägsta priset just nu är 739 kr hos Bokus, av 2 butiker vi jämför. Priser ändras löpande – kontrollera alltid slutpris och frakt hos butiken innan köp.
Priserna uppdateras automatiskt, vanligtvis minst en gång per dygn. Senaste registrerade uppdatering: 12 juli 2026.
Varje butik sätter sitt eget pris och kör olika kampanjer, så samma bok kan kosta olika mycket. Sverige har fri prissättning på böcker – därför lönar det sig att jämföra, och här ser du priserna samlade på ett ställe.
Nej. Priset vi visar är butikens bokpris – fraktkostnad tillkommer och varierar mellan butiker (flera erbjuder fri frakt över en viss summa). Den slutliga fraktkostnaden ser du i butikens kassa innan du betalar.
Ja. Sätt en kostnadsfri prisbevakning så får du besked när priset faller. Du kan också följa prisutvecklingen i prishistoriken här på sidan.
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