Verwandte Artikel zu Machine Learning, revised and updated edition (The...
Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series) - Softcover
Inhaltsangabe
MIT presents a concise primer on machine learning—computer programs that learn from data and the basis of applications like voice recognition and driverless cars.
No in-depth knowledge of math or programming required!
Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don’t yet use every day, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of “the new AI.” This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias.
Alpaydin explains that as Big Data has grown, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. He covers:
• The evolution of machine learning
• Important learning algorithms and example applications
• Using machine learning algorithms for pattern recognition
• Artificial neural networks inspired by the human brain
• Algorithms that learn associations between instances
• Reinforcement learning
• Transparency, explainability, and fairness in machine learning
• The ethical and legal implicates of data-based decision making
A comprehensive introduction to machine learning, this book does not require any previous knowledge of mathematics or programming—making it accessible for everyday readers and easily adoptable for classroom syllabi.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Ethem Alpaydín is Professor in the Department of Computer Engineering at Özyegin University and a member of the Science Academy, Istanbul. He is the author of the widely used textbook, Introduction to Machine Learning (MIT Press), now in its fourth edition.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 9,28
EUR 3,41 für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerSuchergebnisse für Machine Learning, revised and updated edition (The...
Foto des Verkäufers
Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series)
Anbieter: -OnTimeBooks-, Phoenix, AZ, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if youâre not satisfied with purchase please return item for full refund. Ships USPS Media Mail. Bestandsnummer des Verkäufers OTV.0262542528.VG
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series)
Anbieter: Lakeside Books, Benton Harbor, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Bestandsnummer des Verkäufers OTF-S-9780262542524
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Machine Learning
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 42270753-n
Anzahl: 15 verfügbar
Foto des Verkäufers
Machine Learning, Revised and Updated Edition (Paperback or Softback)
Verlag:
MIT Press 8/17/2021, 2021
ISBN 10: 0262542528
ISBN 13: 9780262542524
Neu
Paperback or Softback
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback or Softback. Zustand: New. Machine Learning, Revised and Updated Edition 0.55. Book. Bestandsnummer des Verkäufers BBS-9780262542524
Anzahl: 5 verfügbar
Foto des Verkäufers
Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series)
Anbieter: Goodwill of Silicon Valley, SAN JOSE, CA, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Bestandsnummer des Verkäufers GWSVV.0262542528.G
Anzahl: 1 verfügbar
Foto des Verkäufers
Machine Learning, revised and updated edition
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. MIT presents a concise primer on machine learning-computer programs that learn from data and the basis of applications like voice recognition and driverless cars. No in-depth knowledge of math or programming required! Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition-as well as some we don't yet use every day, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of "the new AI." This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpaydin explains that as Big Data has grown, the theory of machine learning-the foundation of efforts to process that data into knowledge-has also advanced. He covers: . The evolution of machine learning . Important learning algorithms and example applications . Using machine learning algorithms for pattern recognition . Artificial neural networks inspired by the human brain . Algorithms that learn associations between instances . Reinforcement learning . Transparency, explainability, and fairness in machine learning . The ethical and legal implicates of data-based decision making A comprehensive introduction to machine learning, this book does not require any previous knowledge of mathematics or programming-making it accessible for everyday readers and easily adoptable for classroom syllabi. Bestandsnummer des Verkäufers LU-9780262542524
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series)
Anbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers I-9780262542524
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning, revised and updated edition (Paperback)
Anbieter: Grand Eagle Retail, Mason, OH, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.MIT presents a concise primer on machine learning-computer programs that learn from data and the basis of applications like voice recognition and driverless cars.No in-depth knowledge of math or programming required!Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition-as well as some we don't yet use every day, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of "the new AI." This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias.Alpaydin explains that as Big Data has grown, the theory of machine learning-the foundation of efforts to process that data into knowledge-has also advanced. He covers-. The evolution of machine learning.Important learning algorithms and example applications.Using machine learning algorithms for pattern recognition.Artificial neural networks inspired by the human brain.Algorithms that learn associations between instances.Reinforcement learning.Transparency, explainability, and fairness in machine learning.The ethical and legal implicates of data-based decision makingA comprehensive introduction to machine learning, this book does not require any previous knowledge of mathematics or programming-making it accessible for everyday readers and easily adoptable for classroom syllabi. "An updated introduction for generalists to this powerful technology, its applications and possible future directions"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780262542524
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series)
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Revised, Updated edition NO-PA16APR2015-KAP. Bestandsnummer des Verkäufers 26387271487
Anzahl: 3 verfügbar
Foto des Verkäufers
Machine Learning
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 42270753
Anzahl: 15 verfügbar