Akademska digitalna zbirka SLovenije - logo
Fakulteta za informacijske študije v Novem mestu (FIS)
  • Advanced data science and analytics with Python
    Rogel-Salazar, Jesus
    "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"--
    Vrsta gradiva - knjiga ; neleposlovje za odrasle
    Izdaja - 1st ed.
    Založništvo in izdelava - Boca Raton ; London ; New York : CRC Press, 2020
    Jezik - angleški
    ISBN - 978-1-138-31506-8; 1-1383-1506-0; 978-0-4294-4661-0; 0-4294-4661-6
    COBISS.SI-ID - 41224963

Rezervirajte gradivo na želenem mestu prevzema.

Mesto prevzema Status gradiva Rezervacija
Fakulteta za informacijske študije v Novem mestu
prosto - na dom, čas izposoje: 14 del. dni
Signatura – lokacija, inventarna št. ... Status izvoda
Knjižnica FIS
004.6 ROGEL-SALAZAR, J. Advanced...
IN: 100003268 Knjižnica FIS
004.6 ROGEL-SALAZAR, J. Advanced...
IN: 100003268 		prosto - na dom, čas izposoje: 14 del. dni
Knjižnica FIS
004.6 ROGEL-SALAZAR, J. Advanced...
IN: 100003269 Knjižnica FIS
004.6 ROGEL-SALAZAR, J. Advanced...
IN: 100003269 		izposojeno - na dom, rok vrnitve: nedoločen
loading ...
loading ...
loading ...

Vnos na polico