Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Deep Learning
Build and run intelligent applications by leveraging key Java machine learning libraries
Taschenbuch von Yusuke Sugomori (u. a.)
Sprache: Englisch

102,95 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 1-2 Wochen

Produkt Anzahl: Gib den gewünschten Wert ein oder benutze die Schaltflächen um die Anzahl zu erhöhen oder zu reduzieren.
Kategorien:
Beschreibung
Noch keine Beschreibung vorhanden. Sollten Sie Fragen zu dem Artikel haben, helfen wir Ihnen gerne weiter.
Über den Autor
Yusuke Sugomori is a creative technologist with a background in information engineering. When he was a graduate school student, he cofounded Gunosy with his colleagues, which uses machine learning and web-based data mining to determine individual users' respective interests and provides an optimized selection of daily news items based on those interests. This algorithm-based app has gained a lot ofattention since its release and now has more than 10 million users. The company has been listed on the Tokyo Stock Exchange since April 28, [...] 2013, Sugomori joined Dentsu, the largest advertising company in Japan based on nonconsolidated gross profit in 2014, where he carried out a wide variety of digital advertising, smartphone app development, and big data analysis. He was also featured as one of eight "new generation" creators by the Japanese magazine Web [...] April 2016, he joined a medical start-up as cofounder and [...]štjan Kaluža, PhD, is a researcher in artificial intelligence and machine learning. Boštjan is the chief data scientist at Evolven, a leading IT operations analytics company, focusing on configuration and change management. He works with machine learning, predictive analytics, pattern mining, and anomaly detection to turn data into understandable relevant information and actionable [...] to Evolven, Boštjan served as a senior researcher in the department of intelligent systems at the Jozef Stefan Institute, a leading Slovenian scientific research institution, and led research projects involving pattern and anomaly detection, ubiquitous computing, and multi-agent systems. Boštjan was also a visiting researcher at the University of Southern California, where he studied suspicious and anomalous agent behavior in the context of security applications. Boštjan has extensive experience in Java and Python, and he also lectures on Weka in the classroom.Focusing on machine learning and data science, Boštjan has published numerous articles in professional journals, delivered conference papers, and authored or contributed to a number of patents. In 2013, Boštjan published his first book on data science, Instant Weka How-to, Packt Publishing, exploring how to leverage machine learning using Weka. Learn more about him at http
Details
Erscheinungsjahr: 2017
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781788470315
ISBN-10: 1788470311
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Sugomori, Yusuke
Kalu¿a, Bo¿tjan
Soares, Fábio M.
Hersteller: Packt Publishing
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 191 x 40 mm
Von/Mit: Yusuke Sugomori (u. a.)
Erscheinungsdatum: 14.06.2017
Gewicht: 1,363 kg
Artikel-ID: 109480194
Über den Autor
Yusuke Sugomori is a creative technologist with a background in information engineering. When he was a graduate school student, he cofounded Gunosy with his colleagues, which uses machine learning and web-based data mining to determine individual users' respective interests and provides an optimized selection of daily news items based on those interests. This algorithm-based app has gained a lot ofattention since its release and now has more than 10 million users. The company has been listed on the Tokyo Stock Exchange since April 28, [...] 2013, Sugomori joined Dentsu, the largest advertising company in Japan based on nonconsolidated gross profit in 2014, where he carried out a wide variety of digital advertising, smartphone app development, and big data analysis. He was also featured as one of eight "new generation" creators by the Japanese magazine Web [...] April 2016, he joined a medical start-up as cofounder and [...]štjan Kaluža, PhD, is a researcher in artificial intelligence and machine learning. Boštjan is the chief data scientist at Evolven, a leading IT operations analytics company, focusing on configuration and change management. He works with machine learning, predictive analytics, pattern mining, and anomaly detection to turn data into understandable relevant information and actionable [...] to Evolven, Boštjan served as a senior researcher in the department of intelligent systems at the Jozef Stefan Institute, a leading Slovenian scientific research institution, and led research projects involving pattern and anomaly detection, ubiquitous computing, and multi-agent systems. Boštjan was also a visiting researcher at the University of Southern California, where he studied suspicious and anomalous agent behavior in the context of security applications. Boštjan has extensive experience in Java and Python, and he also lectures on Weka in the classroom.Focusing on machine learning and data science, Boštjan has published numerous articles in professional journals, delivered conference papers, and authored or contributed to a number of patents. In 2013, Boštjan published his first book on data science, Instant Weka How-to, Packt Publishing, exploring how to leverage machine learning using Weka. Learn more about him at http
Details
Erscheinungsjahr: 2017
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781788470315
ISBN-10: 1788470311
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Sugomori, Yusuke
Kalu¿a, Bo¿tjan
Soares, Fábio M.
Hersteller: Packt Publishing
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 191 x 40 mm
Von/Mit: Yusuke Sugomori (u. a.)
Erscheinungsdatum: 14.06.2017
Gewicht: 1,363 kg
Artikel-ID: 109480194
Sicherheitshinweis

Ähnliche Produkte

Ähnliche Produkte