Guide to intelligent data science: how to intelligently make use of real data
Material type:
TextPublication details: Switzerland Springer 2020 Description: xiii, 420 pISBN: 9783030455736Subject(s): Mathematical statistics | Mathematical statistics--Data processing | Artificial intelligence | Machine learning | Big dataDDC classification: 519.5 Summary: 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.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
|
Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 519.5 BER (Browse shelf(Opens below)) | 1 | Available | 002496 |
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 519.2 ROS Introduction to probability models | 519.2076 SPI Probability and statistics | 519.5 ACZ Complete business statistics | 519.5 BER Guide to intelligent data science: how to intelligently make use of real data | 519.5 WEI Statistics using R: | 519.5 WOL Primer for data analytics and graduate study in statistics | 519.50285 SAI Introduction to data analysis in R: |
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.
There are no comments on this title.