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Data Science Concepts and Techniques with Applications
Usman Qamar; Muhammad Summair Raza
Springer (2020)
Kovakantinen kirja
76,40
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Data Science Concepts and Techniques with Applications
Usman Qamar; Muhammad Summair Raza
Springer (2021)
Pehmeäkantinen kirja
51,40
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Data Science Concepts and Techniques with Applications
Usman Qamar; Muhammad Summair Raza
Springer (2023)
Pehmeäkantinen kirja
71,40
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ostoskoriin kpl
Siirry koriin
Data Science Concepts and Techniques with Applications
Qamar Usman Qamar; Raza Muhammad Summair Raza
Springer Nature B.V. (2023)
Pehmeäkantinen kirja
109,20
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Applied Text Mining
Usman Qamar; Muhammad Summair Raza
Springer (2024)
Pehmeäkantinen kirja
76,40
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ostoskoriin kpl
Siirry koriin
Pakistan's Water Economy Running Dry
John Briscoe; Usman Qamar
OXFORD UNIV PR (2009)
Pehmeäkantinen kirja
94,40
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
Muhammad Summair Raza; Usman Qamar
Springer Verlag, Singapore (2017)
Kovakantinen kirja
97,60
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
Muhammad Summair Raza; Usman Qamar
Springer Verlag, Singapore (2018)
Pehmeäkantinen kirja
111,40
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
Muhammad Summair Raza; Usman Qamar
Springer Verlag, Singapore (2019)
Kovakantinen kirja
131,40
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
Muhammad Summair Raza; Usman Qamar
Springer (2020)
Pehmeäkantinen kirja
91,40
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Data Science Concepts and Techniques with Applications
76,40 €
Springer
Sivumäärä: 196 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2020, 09.06.2020 (lisätietoa)
Kieli: Englanti
This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections:
  • The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science.
  • The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining.
  • And finally, the third section of the book focuses on two programming languages commonly used for data science projects i.e. Python and R programming language.
Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.


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ISBN:
9789811561320
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