Machine Learning - kurz & gut : Eine Einführung mit Python, Scikit-Learn und TensorFlow
Language: German
Published by Dpunkt.Verlag Aug 2024, 2024
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 17.35
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Add to basketItem description from seller
Neuware - Die 3. Auflage des Bestsellers wurde ergänzt durch Kapitel zu Large Language Models wie ChatGPT und zu MLOps Anhand konkreter Datensätze lernst du einen typischen Workflow kennen: vom Datenimport über Datenbereinigung, Datenanalyse bis hin zur Datenvisualisierung Nicht nur für zukünftige Data Scientists und ML-Profis geeignet, sondern durch seine durchdachte Didaktik auch für Interessierte, die nur am Rande mit ML zu tun haben, wie z.B. Softwareentwickler\*innen Machine Learning beeinflusst heute beinahe alle Bereiche der Technik und der Gesellschaft. Dieses Buch bietet Interessierten, die einen technischen Hintergrund haben, die schnellstmögliche Einführung in das umfangreiche Themengebiet des maschinellen Lernens und der statistischen Datenanalyse. Dabei werden folgende Themen behandelt und mit praktischen Beispielen veranschaulicht: Datenvorbereitung, Feature-Auswahl, Modellvalidierung Supervised und Unsupervised Learning Neuronale Netze und Deep Learning Reinforcement Learning LLMs - moderne Sprachmodelle MLOps - Machine Learning für die Praxis Anhand von Beispieldatensätzen lernst du einen typischen Workflow kennen: vom Datenimport über Datenbereinigung, Datenanalyse bis hin zur Datenvisualisierung. Mit den Codebeispielen kannst du in Jupyter Not Elektronisches Buch experimentieren. Sie basieren auf Python und den Bibliotheken Scikit-Learn, Pandas, NumPy, TensorFlow und Keras. Nach der Lektüre dieses Buchs hast du einen Überblick über das gesamte Thema und kannst Ansätze einordnen und bewerten. Das Buch vermittelt dir eine solide Grundlage, um erste eigene Machine-Learning-Modelle zu trainieren und vertiefende Literatur zu verstehen.…
Seller Inventory # 9783960092360
- Title
- Machine Learning - kurz & gut : Eine Einführung mit Python, Scikit-Learn und TensorFlow
- Author
- Chi Nhan Nguyen
- Publisher
- Dpunkt.Verlag Aug 2024
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- German
- ISBN 10
- 3960092369
- ISBN 13
- 9783960092360
- Item weight
- 254 grams
- Dimensions
- 174x104x19 mm
- The 3rd Edition of the bestseller was supplemented by chapters on large language models such as ChatGPT and MLOps
- Using concrete data sets, you will learn a typical workflow: from data import to data cleaning, data analysis to data visualisation.
- Not only suitable for future data scientists and ML professionals, but thanks to its sophisticated didactics also for those interested in working with ML only on the edge, such as software developers
Machine learning today influences almost all areas of technology and society. This book provides interested parties with a technical background the fastest possible introduction to the extensive subject area of machine learning and statistical data analysis. The following topics are treated and illustrated with practical examples:
- Data Preparation, Feature Selection, Model Validation
- Supervised and Unsupervised Learning
- Neural Networks and Deep Learning
- Reinforcement Learning
- LLMs - Modern Language Models
- MLOps - Machine Learning for Practice
Using sample datasets, you'll learn about a typical workflow: from data import to data cleaning, data analysis and data visualization. You can experiment with the code samples in Jupyter notebooks. They are based on Python and the Scikit-Learn, Pandas, NumPy, TensorFlow and Keras libraries.
After reading this book, you will have an overview of the entire topic and can rank and evaluate approaches. The book gives you a solid foundation to train your own machine learning models and understand in-depth literature.
"Synopsis" may belong to another edition of this title.
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