Thomas Wolf – författare

Named Best Baseball Book of 2020 by Sports Collectors Digest2021 SABR Seymour Medal FinalistIn the summer of 1932, at the beginning of the turbulent decade that would remake America, baseball fans were treated to one of the most thrilling seasons in the history of the sport. As the nation drifted deeper into the Great Depression and reeled from social unrest, baseball was a diversion for a troubled country-and yet the world of baseball was marked by the same edginess that pervaded the national scene.On-the-field fights were as common as double plays. Amid the National League pennant race, Cubs’ shortstop Billy Jurges was shot by showgirl Violet Popovich in a Chicago hotel room. When the regular season ended, the Cubs and Yankees clashed in what would be Babe Ruth’s last appearance in the fall classic. After the Cubs lost the first two games in New York, the series resumed in Chicago at Wrigley Field, with Democratic presidential candidate Franklin Roosevelt cheering for the visiting Yankees from the box seats behind the Yankees’ dugout.In the top of the fifth inning the game took a historic turn. As Ruth was jeered mercilessly by Cubs players and fans, he gestured toward the outfield and then blasted a long home run. After Ruth circled the bases, Roosevelt exclaimed, “Unbelievable!” Ruth’s homer set off one of baseball’s longest-running and most intense debates: did Ruth, in fact, call his famous home run?Rich with historical context and detail, The Called Shot dramatizes the excitement of a baseball season during one of America’s most chaotic summers.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you''re a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You''ll quickly learn a variety of tasks they can help you solve.

Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answeringLearn how transformers can be used for cross-lingual transfer learningApply transformers in real-world scenarios where labeled data is scarceMake transformer models efficient for deployment using techniques such as distillation, pruning, and quantizationTrain transformers from scratch and learn how to scale to multiple GPUs and distributed environments

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you''re a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You''ll quickly learn a variety of tasks they can help you solve.

Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answeringLearn how transformers can be used for cross-lingual transfer learningApply transformers in real-world scenarios where labeled data is scarceMake transformer models efficient for deployment using techniques such as distillation, pruning, and quantizationTrain transformers from scratch and learn how to scale to multiple GPUs and distributed environments

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you''re a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You''ll quickly learn a variety of tasks they can help you solve.

Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answeringLearn how transformers can be used for cross-lingual transfer learningApply transformers in real-world scenarios where labeled data is scarceMake transformer models efficient for deployment using techniques such as distillation, pruning, and quantizationTrain transformers from scratch and learn how to scale to multiple GPUs and distributed environments

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you''re a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You''ll quickly learn a variety of tasks they can help you solve.

Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answeringLearn how transformers can be used for cross-lingual transfer learningApply transformers in real-world scenarios where labeled data is scarceMake transformer models efficient for deployment using techniques such as distillation, pruning, and quantizationTrain transformers from scratch and learn how to scale to multiple GPUs and distributed environments

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve.Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answeringLearn how transformers can be used for cross-lingual transfer learningApply transformers in real-world scenarios where labeled data is scarceMake transformer models efficient for deployment using techniques such as distillation, pruning, and quantizationTrain transformers from scratch and learn how to scale to multiple GPUs and distributed environments

Ron Powers’s tour de force has been widely acclaimed as the best life and times, filled with Mark Twain’s voice, and as a great American story.Samuel Clemens, the man known as Mark Twain, invented the American voice and became one of our greatest celebrities. His life mirrored his country’s, as he grew from a Mississippi River boyhood in the days of the frontier, to a Wild-West journalist during the Gold Rush, to become the king of the eastern establishment and a global celebrity as America became an international power. Along the way, Mark Twain keenly observed the characters and voices that filled the growing country, and left us our first authentically American literature. Ron Powers’s magnificent biography offers the definitive life of the founding father of our culture.

Named Best Baseball Book of 2020 by Sports Collectors Digest2021 SABR Seymour Medal FinalistIn the summer of 1932, at the beginning of the turbulent decade that would remake America, baseball fans were treated to one of the most thrilling seasons in the history of the sport. As the nation drifted deeper into the Great Depression and reeled from social unrest, baseball was a diversion for a troubled country-and yet the world of baseball was marked by the same edginess that pervaded the national scene.On-the-field fights were as common as double plays. Amid the National League pennant race, Cubs’ shortstop Billy Jurges was shot by showgirl Violet Popovich in a Chicago hotel room. When the regular season ended, the Cubs and Yankees clashed in what would be Babe Ruth’s last appearance in the fall classic. After the Cubs lost the first two games in New York, the series resumed in Chicago at Wrigley Field, with Democratic presidential candidate Franklin Roosevelt cheering for the visiting Yankees from the box seats behind the Yankees’ dugout.In the top of the fifth inning the game took a historic turn. As Ruth was jeered mercilessly by Cubs players and fans, he gestured toward the outfield and then blasted a long home run. After Ruth circled the bases, Roosevelt exclaimed, “Unbelievable!” Ruth’s homer set off one of baseball’s longest-running and most intense debates: did Ruth, in fact, call his famous home run?Rich with historical context and detail, The Called Shot dramatizes the excitement of a baseball season during one of America’s most chaotic summers.

In the mid-1920s, America was in the throes of exuberant excess and clashing social change. It was the era of Prohibition and speakeasies; the reemergence of the Ku Klux Klan; popular evangelists, including ex-ballplayer Billy Sunday; a fascination with dangerous stunts like pole-sitting and wing-walking; incredible personal feats and new personalities such as Charles Lindbergh, Gertrude Ederle, and Mae West; and the advancement of innovative forms of entertainment-jazz, motion pictures, the radio. It was the Golden Age of Sports. But it was also a decade of corruption amid the ominous signs of economic collapse.In 1926 baseball stars of an earlier era still played major roles in the game: Veteran pitcher Grover Cleveland Alexander was the hero of the 1926 World Series; Ty Cobb and Tris Speaker faced explosive allegations of game-fixing; Babe Ruth’s mysterious illness and dismal 1925 season convinced many observers that Ruth was finished-over the hill. Meanwhile, new stars like Tony Lazzeri and Lou Gehrig had arrived on the scene, and the Negro Leagues were at the height of their popularity and success with Rube Foster’s Chicago American Giants winning the Colored World Series of 1926. One of America’s most ardent fans cheered from the White House-not the taciturn president, Calvin Coolidge, but his vibrant and well-liked wife, Grace.Focusing on the Cardinals and Yankees and their dramatic seven-game battle in the 1926 World Series, Baseball in the Roaring Twenties tells the story of key players such as Babe Ruth and Rogers Hornsby, the Negro Leagues season, and how baseball and the inextricably linked aspects of American life-Prohibition, the Jazz Age, and the rise of sports gambling-converged that year.

Der Dichter und Pädagoge Friedrich Pustkuchen (1793-1834) mystifizierte 1821 das literarische Publikum mit den sogenannten »falschen Wanderjahren«, in denen das Goethesche Poesieverständnis und der »Wilhelm Meister« herbe Kritik erfuhren. Heftige Reaktionen zahlreicher goethetreuer Literaten (von Arnim bis Tieck) und etliche Invektiven Goethes belegen die Wirksamkeit von Pustkuchens Werk, das Goethe zur zweiten Version der »Wanderjahre« von 1829 angeregt hat. Durch die Beschäftigung mit Pustkuchens romanesker Streitschrift läßt sich ein deutlicheres Bild der gehaltlichen und formalen Entwicklung der »Meister«-Romane gewinnen. Gleichzeitig zeigen sich Goethes zunehmende konzeptionelle Schwierigkeiten mit den im »Meister« propagierten Lebensidealen. Der literarische Streitfall, der als einzige Initialzündung der Goethekritik zu Lebzeiten Goethes gelten kann, zeigt die schwierige soziale und geistige Situation deutscher Autoren der Restaurationszeit angesichts von Goethes beherrschendem Einfluß und gestattet es, eine Art goethespezifisches Meinungsprofil für das frühe 19. Jahrhundert zu entwerfen. Durch eine Fülle von Archivmaterialien konnten Friedrich Pustkuchens Leben und seine kritische Beziehung zum Werk und zur Ästhetik Goethes detailliert dargestellt werden. Zu diesem Zweck wurden in einem umfangreichen Textanhang schwer zugängliche Texte Pustkuchens publiziert, darunter zum ersten Mal seine beiden Briefe an Goethe. Die vielfältigen germanistischen Versäumnisse und Fehlinterpretationen im Fall Pustkuchens, die dokumentiert werden, werfen am Rande auch ein interessantes Schlaglicht auf die deutsche Übergrößen-Philologie und die Kanonisierung der Weimarer Klassik am Beispiel Goethes.

Drei in sich geschlossene Aufsätze beleuchten spezifische, unter dem gemeinsamen Nenner "Umwelterfahrung" zusammengefaßte Erlebniswelten eines Schriftstellers, der sich den Zwängen und Bedingtheiten seiner familiären Situation sowie den Fremdbestimmungen seiner geistigen und literarischen Entwicklung durch Schule, Universität und staatliche Obrigkeit anpassen mußte und doch trotz aller Deformationen des äußeren Lebens literarische Werke hervorbrachte, an denen formale Ungezwungenheit und stilistische Brillanz gerühmt wurden. Im aufopferungsvollen Zwist mit den straffälligen Brüdern Karl und Alois trat Eduard Mörike (1804-1875) als ausdauernder Kämpfer und letztlich dominierendes Familienoberhaupt auf. Auch gegenüber Justinus Kerner, der zunächst die Rolle eines geistigen Übervaters spielte, dann zeitweise auf okkultistischem Gebiet ein Gleichgesinnter war, um schließlich als Leitbild abzudanken, vollzog sich - parallel zu Mörikes schriftstellerischer Sozialisation - eine deutliche Entwicklung von Passivität zur Aktion. Mörikes anfänglich starker Autoritätsglaube wich mit der Zeit immer mehr dem Autoritätszweifel, in der Beziehung zum älteren Bruder Karl, in der ungleichen Freundschaft zu Justinus Kerner sowie im Dialog zu naturwissenschaftlichen Koryphäen wie Kurr, Quenstedt oder Oppel. Bei der Betrachtung des scheinbar harmlosen Fossiliensammelns und der obskuren Beschäftigung mit parapsychischen Phänomenen werden nebenbei aus interdisziplinärer Perspektive Grundoperationen der Mörikeschen Poetik sichtbar - etwa das Benennen und Beschreiben von Dingen und Sinneseindrücken, das teilweise pseudoreligiöse Züge trägt.

Wellentrotz schließt sich unmittelbar an die Ereignisse im Roman Sturmblicke an. Im Mittelpunkt steht Aifa, die Wächterin der Cita auf dem Exoplaneten Onda. Ein schlimmer Fehler bringt gravierende Veränderungen und Aifa muss sich entscheiden. Letztlich muss sie ihr Volk in die neue Heimat führen.

Die rasante Weiterentwicklung und der grundlegende Wandel von Absatzmärkten mit hoher Dynamik erfordern eine enge Verknüpfung von marketing-theoretischen Überlegungen sowie strategischen und operativen Entscheidungen.In praxisnahen und gleichzeitig wissenschaftlich fundierten Fallstudien behandeln die Autoren aktuelle Marketing-Problemstellungen. Die didaktisch und methodisch professionelle Aufbereitung ermöglicht einen Einsatz in unterschiedlichen Lernsituationen. Ein weitgehend identischer Aufbau erleichtert dem Leser die Orientierung.