|
| # |
|
|
Autor▲▼ |
Titel▲▼  |
Jahr▲▼ |
Exp. |
Signatur |
|
| 1 |
|
 |
Lamb, Hilary |
Künstliche Intelligenz |
2024 |
1 |
40/70/111 |
| 2 |
|
|
Vallor, Shannon |
AI mirror |
2024 |
1 |
40/70/105 |
| 3 |
|
|
Gabrys, Jennifer |
Program earth |
2016 |
1 |
29/110/112 |
| 4 |
|
|
Krohn, Jon |
Deep Learning illustriert |
2020 |
1 |
40/70/84 |
| 5 |
|
|
Hustwit, Gary |
The New York subway map debate at Cooper Union April 20, 7:30 pm. - Second printing, 2022 |
2022 |
1 |
21/60/14 |
| 6 |
|
|
Xu, Rongyuan |
Diplomarbeit |
2020 |
1 |
H/a/761 Teil 1-2 |
| 7 |
|
|
McGuire, Dylan |
Diplomarbeit |
2021 |
1 |
H/a/782 Teil 1-2 |
| 8 |
|
|
Philipsen, Lotte |
The aesthetics of scientific data representation |
2020 |
1 |
29/110/99 |
| 9 |
|
|
Cairo, Alberto |
How charts lie |
2019 |
1 |
29/110/95 |
| 10 |
|
|
Kirk, Andy |
Data visualisation. - 2nd edition |
2019 |
1 |
29/110/17 |
| 11 |
|
|
Rosling, Hans |
Factfulness. - Ungekürzte Ausgabe im Ullstein Taschenbuch, 1. Auflage |
2019 |
1 |
47/70/52 |
| 12 |
|
|
Strauss, Anselm L. |
Grounded theory / Basics of qualitative research |
1996 |
1 |
47/30/12 |
| 13 |
|
|
Geiselberger, Heinrich |
Big Data. - Orig.-Ausg., 2. Aufl. |
2013 |
1 |
40/80/122 |
| 14 |
|
|
Raoul Wilken. |
Digitale Daten greifbar machen (Wilken, Raoul: Haptische Bilder ; 1) |
2016 |
1 |
H/a/651 Teil 1 |
| 15 |
|
|
Wilken, Raoul |
Haptische Bilder |
2016 |
1 |
H/a/651 Teil 1-2 |
| 16 |
|
|
Himmelsbach, Sabine |
Poetics and Politics of Data |
2015 |
1 |
10/20/26 |
| 17 |
|
|
Schulz, Thomas |
Was Google wirklich will. - 1. Aufl. |
2015 |
1 |
40/80/99 |
| 18 |
|
|
Halpern, Orit |
Beautiful Data |
2014 |
1 |
40/10/5 |
| 19 |
|
|
Reichert, Ramon |
Big Data |
2014 |
1 |
40/80/85 |
| 20 |
|
|
Dany, Hans-Christian |
Morgen werde ich Idiot |
2013 |
1 |
47/70/80 |
|
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