000			01938nam a22002177a 4500
005			20241108122613.0
008			241108b |||||||| |||| 00| 0 eng d
020			_a9781032505268
082			_a006.31 _bALB
100			_aAlby, Tom _918095
245			_aData science in practice
260			_bCRC Press _aBoca Raton _c2024
300			_axvi, 301 p.
365			_aGBP _b56.99
490			_aData Science Series
520			_aData Science in Practice is the ideal introduction to data science. With or without math skills, here, you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application, and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids, and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles. 　 Key Features: Success factors and tools for all project phases Includes application examples for various subject areas Introduces many aspects of Data Science, from requirements analysis to data acquisition and visualization (https://www.routledge.com/Data-Science-in-Practice/Alby/p/book/9781032505268?srsltid=AfmBOopXHW5V5lU6puVznrWHRDZvHvGI4EVNsuKlCGls54jDvIc-Ud-g)
650			_aArtificial intelligence
650			_aMachine learning
650			_aR (Computer program language)
942			_cBK _2ddc
999			_c7548 _d7548