Einfhrung in Data Science: Grundprinzipien der Datenanalyse mit Python (Animals)
Neuauflage des Standardwerks jetzt zu Python 3.6 Der ideale Einstieg in Data Science didaktisch klug angelegt und gut nachvollziehbar Bietet mathematisches Hintergrundwissen und einen Crashkurs fr Python Enthlt neues Material zu Deep Learning Statistik und Natural Language Processing Dieses Buch fhrt Sie in Data Science ein indem es grundlegende Prinzipien der Datenanalyse erlutert und Ihnen geeignete Techniken und Werkzeuge vorstellt. Sie lernen nicht nur wie Sie Bibliotheken Frameworks Module und Toolkits konkret einsetzen sondern implementieren sie auch selbst. Dadurch entwickeln Sie ein tieferes Verstndnis fr die Zusammenhnge und erfahren wie essenzielle Tools und Algorithmen der Datenanalyse im Kern funktionieren. Falls Sie Programmierkenntnisse und eine gewisse Sympathie fr Mathematik mitbringen untersttzt Joel Grus Sie dabei mit den mathematischen und statistischen Grundlagen der Data Science vertraut zu werden und sich Programmierfhigkeiten anzueignen die Sie fr die Praxis bentigen. Dabei verwendet er Python: Die weit verbreitete Sprache ist leicht zu erlernen und bringt zahlreiche Bibliotheken fr Data Science mit.
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