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Big Data for Beginners: Book 3 - Applications of Data. An Introduction to the Real-Time Data Processing and Machine Learning for Data Analysis EBOOK
Brian Murray
Ebook | Anglais
3,99 €
+ 3 points
Description
In "Big Data for Beginners: Applications of Data - An Introduction to Real-Time Data Processing and Machine Learning for Data Analysis," readers will explore the cutting-edge applications of Big Data and learn how it is being used to drive innovation and solve complex problems in real-time.
The book begins by examining the role of Big Data in real-time data processing and explores the various technologies and platforms used to manage and analyze data in real-time. Readers will gain an understanding of how data is processed and analyzed in real-time, and how this capability is driving new opportunities for businesses and organizations.
The book also explores the exciting field of machine learning and its application in data analysis. Readers will learn about the various types of machine learning algorithms and how they can be used to uncover patterns and insights in large datasets. They will also gain practical guidance on how to design and implement machine learning models for different use cases, such as predictive analytics and natural language processing.
Throughout the book, real-world examples and case studies are used to illustrate key concepts and demonstrate how Big Data and machine learning are being used in a variety of industries and applications. Whether you're a data scientist, software engineer, or business leader looking to stay ahead of the curve in the rapidly-evolving world of Big Data, "Big Data for Beginners: Applications of Data" is an essential resource. With this book, readers will gain the knowledge and skills they need to harness the power of Big Data and machine learning to drive innovation and create value in their organizations.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9798224358427
- Date de parution :
- 28-04-24
- Format:
- Ebook
- Protection digitale:
- /
- Format numérique:
- ePub
