Lindemann
Lindemann is a German surname, meaning "woodman".
Persons
Notable people with the surname include:
Arts and entertainment
- Jens Lindemann, trumpet player
- Julie Lindemann, American photographer
- Maggie Lindemann, American singer
- Till Lindemann, singer in German NDH-Metal band Rammstein
- Lindemann (band), his side project.
Sports
- Hannes Lindemann, solo canoeist
- Hermann Lindemann, football player and manager
- Paul Lindemann, basketball player
- Stefan Lindemann, figure skater
Government and military
- Ernst Lindemann (1894-1941), captain of the German battleship Bismarck
- Ernst Heinrich Lindemann (1833-1900), mayor of Essen, Dortmund and Düsseldorf
- Fritz Lindemann (1894-1944), German artillery officer and member of the resistance to Adolf Hitler
- Gerhard Lindemann (1896-1994), German Generalmajor
- Georg Lindemann (1884-1963), German cavalry officer
- Rosa Lindemann (1876–1958), German communist in the resistance to Nazism
Others
- Albert Lindemann, American historian
- Carl Louis Ferdinand von Lindemann, mathematician
- Erich Lindemann, German-American author and psychiatrist
- Erich Lindemann (botanist), German botanist
- Frederick Lindemann, 1st Viscount Cherwell, English physicist, and Churchill's scientific advisor during World War II
- Adolph Friedrich Lindemann, his father; engineer, businessman and amateur astronomer
- George Lindemann, American businessman
- Margarethe Lindemann, mother of the theologian, Martin Luther
gollark: I think that was meant somewhat jokily.
gollark: Anyway, I don't know about hundreds of hours, I *think* just categorizing text is relatively simple, but I don't really know and, again, lots of training data would be needed.
gollark: False positive rate, though.
gollark: You would need many, many samples of "normal" messages, and then many samples of "obviously wrong because they appear to disagree with you" messages, and a bunch of training time.
gollark: I mean, I don't have one personally, I have no practical experience with modern ML stuff, and more importantly training data.
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