Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Advanced Data Science and Analytics with Python Ebook Tooltip Ebooks kunnen worden gelezen op uw computer en op daarvoor geschikte e-readers.
- Engels
- E-book
- 9780429822315
- 05 mei 2020
- Adobe ePub
Samenvatting
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.
Productspecificaties
Inhoud
- Taal
- en
- Bindwijze
- E-book
- Oorspronkelijke releasedatum
- 05 mei 2020
- Ebook Formaat
- Adobe ePub
- Illustraties
- Nee
Betrokkenen
- Hoofdauteur
- Jesus Rogel-Salazar
- Hoofduitgeverij
- Chapman and Hall/CRC
Lees mogelijkheden
- Lees dit ebook op
- Desktop (Mac en Windows) | Kobo e-reader | Android (smartphone en tablet) | iOS (smartphone en tablet) | Windows (smartphone en tablet)
Overige kenmerken
- Editie
- 1
- Studieboek
- Nee
EAN
- EAN
- 9780429822315
Je vindt dit artikel in
- Categorieën
- Taal
- Engels
- Boek, ebook of luisterboek?
- Ebook
- Beschikbaarheid
- Leverbaar
- Studieboek of algemeen
- Studieboeken
- E-book is direct beschikbaar na aankoop
- E-books lezen is voordelig
- Dag en nacht klantenservice
- Veilig betalen
Rapporteer dit artikel
Je wilt melding doen van illegale inhoud over dit artikel:
- Ik wil melding doen als klant
- Ik wil melding doen als autoriteit of trusted flagger
- Ik wil melding doen als partner
- Ik wil melding doen als merkhouder
Geen klant, autoriteit, trusted flagger, merkhouder of partner? Gebruik dan onderstaande link om melding te doen.