| 000 | 02342nam a2200313Ia 4500 | ||
|---|---|---|---|
| 000 | 07647nam a22003495i 4500 | ||
| 001 | 978-3-031-39129-3 | ||
| 003 | DE-He213 | ||
| 005 | 20240319121147.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 231110s2023 sz | s |||| 0|eng d | ||
| 020 |
_a9783031391293 _9978-3-031-39129-3 |
||
| 082 | _a5.7 | ||
| 100 |
_aCuadrado-Gallego, Juan J. _939835 |
||
| 245 |
_aData Analytics _cby Juan J. Cuadrado-Gallego, Yuri Demchenko. _h[electronic resource] : |
||
| 250 | _a1st ed. 2023. | ||
| 260 |
_aCham _bSpringer International Publishing _c2023 |
||
| 300 |
_aXIII, 477 p. 107 illus., 43 illus. in color. _bonline resource. |
||
| 520 | _aBuilding upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical foundations to their implementation and use with software tools. Designed as a textbook for a Data Analytics Fundamentals course, it is divided into seven chapters to correspond with 16 weeks of lessons, including both theoretical and practical exercises. Each chapter is dedicated to a lesson, allowing readers to dive deep into each topic with detailed explanations and examples. Readers will learn the theoretical concepts and then immediately apply them to practical exercises to reinforce their knowledge. And in the lab sessions, readers will learn the ins and outs of the R environment and data science methodology to solve exercises with the R language. With detailed solutions provided for all examples and exercises, readers can use this book to study and master data analytics on their own. Whether you're a student, professional, or simply curious about data analytics, this book is a must-have for anyone looking to expand their knowledge in this exciting field. | ||
| 650 |
_aArtificial intelligence _939836 |
||
| 650 |
_aData Analysis and Big Data. _939837 |
||
| 650 |
_aData Science. _939838 |
||
| 650 |
_aMachine learning. _939839 |
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| 650 |
_aMachine Learning. _939840 |
||
| 650 |
_aQuantitative research. _939841 |
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| 700 |
_aDemchenko, Yuri. _939842 |
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| 856 | _uhttps://doi.org/10.1007/978-3-031-39129-3 | ||
| 942 |
_cEBK _2ddc |
||
| 999 |
_c15899 _d15899 |
||