SKU: 79532499469

Alternative Antriebe - E-Mobilität

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Alternative Antriebe - E-MobilitätWie wird man Fachkundiger fr Arbeiten an Hochvolt Systemen im Kraftfahrzeug? EAN: 9783958633391 Farbverschnitt: Generell werden die Bcher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. Auflage: berarbeitete und korrigierte, 23004 Erscheinungsjahr: 26. 06. 2023 Produktform: Kartoniert Autoren: Maier, Reinhard & Schubert, Jrgen & Wagner, Henning Auflage Ausgabe: berarbeitete und korrigierte Seitenzahl Blattzahl:

Wie wird man Fachkundiger für Arbeiten an Hochvolt-Systemen im Kraftfahrzeug?

EAN: 9783958633391
Farbverschnitt: Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen.
Auflage: überarbeitete und korrigierte, 23004
Erscheinungsjahr: 26.06.2023
Produktform: Kartoniert
Autoren: Maier, Reinhard & Schubert, Jürgen & Wagner, Henning
Auflage/Ausgabe: überarbeitete und korrigierte
Seitenzahl/Blattzahl: 376
Keyword: Alternative Energieträger; Alternative Kraftstoffe; Antrieb (Technik); Antriebssysteme; Auto-Mobilität; Automotive Engineering; Brennstoffzellen; Brennstoffzellenfahrzeuge; Elektrische Antriebe; Elektrofahrzeuge; Energiemanagement im Kraftfahrzeug; Engineering; Fachbuch; Hybrid; Hybridantriebe; Hybridsystem; Kraftfahrzeugtechnik; Renewable and Green Energy
Fachschema: Elektroantrieb~Energie (physikalisch) / Erneuerbare Energie~Energiewirtschaft / Erneuerbare Energie~Erneuerbare Energie~Regenerative Energie~Fahrzeug - Fahrzeugbau - Fahrzeugtechnik~Technologie
Fachkategorie: Fahrzeuge, Kraftfahrzeuge: Ratgeber, Sachbuch~Technologie, allgemein, Alternative und erneuerbare Energien und Technik
Text Sprache: ger
Verlag: Christiani, Christiani, Paul, Dr.-Ing., GmbH & Co. KG Technisches Lehrinstitut und Verlag
Länge: 296 mm
Breite: 211 mm
Höhe: 26 mm
Gewicht: 1628 gr
Genre: Mathematik/Naturwissenschaften/Technik/Medizin
Herkunftsland: DEUTSCHLAND (DE)
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SKU: 79532499469

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R. Cote
Houston, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Bozeman, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Dallas, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Battle Creek, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025
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3rd Act
Bozeman, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024

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