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Introduction to Data Science and Machine Learning
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“Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications.
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This work has been downloaded 14 times via unglue.it ebook links.
- 14 - pdf (CC BY) at mts.intechopen.com.
Keywords
- Computing & information technology
- Data mining
- Databases
- thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
Links
DOI: 10.5772/intechopen.77469Editions