000			01402nam a2200265 4500
005			20251017205532.0
008			241213b |||||||| |||| 00| 0 eng d
020			_a9783662678817
041			_aeng
082			_a005.7 _bPlaD
100			_aPlaue, Matthias
245			_aData Science : _bAn Introduction to Statistics and Machine Learning / _cMatthias Plaue
260			_aBerlin: _bSpringer; _c©2023
300			_axxiv, 361p.
520			_aThis textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of data science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and machine learning. These topics are presented in a clear and mathematical sound way to help readers gain a deep and fundamental understanding. Numerous application examples based on real data are included. The book is well-suited for lecturers and students at technical universities, and offers a good introduction and overview for people who are new to the subject. Basic mathematical knowledge of calculus and linear algebra is required.
650			_aData Modeling
650			_aMachine Learning
650			_aData Structures
650			_aArtificial Intelligence
650			_aStatistics
650			_aProbability
650			_aKnowledge & Systems
650			_aInformation Theory
942			_cBK
999			_c7198 _d7198