Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Isaac Triguero is Distinguished Senior Researcher at the Department of Computer Science and Artificial Intelligence, University of Granada, and Associate Professor of Data Science at the School of Computer Science of the University of Nottingham. He won the 2019 School of Computer Science – University of Nottingham Award for Teaching.
Mikel Galar is Associate Professor of Computer Science and Artificial Intelligence at the Department of Statistics, Computer Science and Mathematics, Public University of Navarre. He is a co-founder of Neuraptic AI and won the 2020 Excellence in Teaching Award of the Public University of Navarre.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: PAPER CAVALIER US, Brooklyn, NY, USA
Zustand: very good. Gently used. May include previous owner's signature or bookplate on the front endpaper, sticker on back and/or remainder mark on text block. Bestandsnummer des Verkäufers 9781009318259-3
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good. Minor shelf wear on cover. Bestandsnummer des Verkäufers mon0003837255
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Good. Cover/edges are worn and or have small tears, otherwise good reading copy. Bestandsnummer des Verkäufers mon0003801089
Anbieter: Textbooks_Source, Columbia, MO, USA
paperback. Zustand: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Bestandsnummer des Verkäufers 009452118U
Anbieter: Textbooks_Source, Columbia, MO, USA
paperback. Zustand: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Bestandsnummer des Verkäufers 009452118N
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Bestandsnummer des Verkäufers 46130746-5
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 46130746
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New. Bestandsnummer des Verkäufers 46130746-n
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions. Book. Bestandsnummer des Verkäufers BBS-9781009318259
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. Bestandsnummer des Verkäufers 26396515761