Guide to intelligent data science: how to intelligently make use of real data
Berthold, Michael R.
Guide to intelligent data science: how to intelligently make use of real data - Switzerland Springer 2020 - xiii, 420 p.
About this book
Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.
Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.
9783030455736
Mathematical statistics
Mathematical statistics--Data processing
Artificial intelligence
Machine learning
Big data
519.5 / BER
Guide to intelligent data science: how to intelligently make use of real data - Switzerland Springer 2020 - xiii, 420 p.
About this book
Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.
Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.
9783030455736
Mathematical statistics
Mathematical statistics--Data processing
Artificial intelligence
Machine learning
Big data
519.5 / BER