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    <subfield code="a">Fundamentals of data science : </subfield>
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    <subfield code="a">Contents: Preface &#x2014; Acknowledgement &#x2014; Foreword &#x2014; Foreword &#x2014; 1. Introduction &#x2014; 2. Data, sources, and generation &#x2014; 3. Data preparation &#x2014; 4. Machine learning &#x2014; 5. Regression &#x2014; 6. Classification &#x2014; 7. Artificial neural networks &#x2014; 8. Feature selection &#x2014; 9. Cluster analysis &#x2014; 10. Ensemble learning &#x2014; 11. Association-rule mining &#x2014; 12. Big data analysis &#x2014; 13. Data science in practice  &#x2014; 14. Conclusion &#x2014; Index.</subfield>
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