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Data Science using R Programming
(Englisch)
A Practical Approach
Bhanu Prakash Kolla & S.S. Reddy Lakkam

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Autor/Autorin: Kolla Bhanu Prakash

Dr. Kolla Bhanu Prakash is working as Professor and Research Group Head for Artificial Intelligence & Data Science Research Group in K. L. University, Andhra Pradesh. Dr. L. S. S. Reddy is the Vice Chancellor of K. L. University. He is having 25+ years of Teaching and Research experience, published 100+ papers in reputed journals.
Data science is a field of Big Data geared toward providing meaningful information based on large amounts of complex data. Data science, or data-driven science, combines different fields of work in statistics and computation in order to interpret data for the purpose of decision making. Virtually every organization has it and most want to find ways to use it to help them grow their business. That's where data scientists come in. Data scientists know how to use their skills in math, statistics, programming, and other related subjects to organize large data sets. Data scientist duties typically include creating various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. People within this role should also be able to perform statistical analysis. Our present book covers all these fundamental concepts and practical implementation using R programming.
Data science is a field of Big Data geared toward providing meaningful information based on large amounts of complex data. Data science, or data-driven science, combines different fields of work in statistics and computation in order to interpret data for the purpose of decision making. Virtually every organization has it and most want to find ways to use it to help them grow their business. That's where data scientists come in. Data scientists know how to use their skills in math, statistics, programming, and other related subjects to organize large data sets. Data scientist duties typically include creating various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. People within this role should also be able to perform statistical analysis. Our present book covers all these fundamental concepts and practical implementation using R programming.
Kolla, Bhanu Prakash
Dr. Kolla Bhanu Prakash is working as Professor and Research Group Head for Artificial Intelligence & Data Science Research Group in K. L. University, Andhra Pradesh. Dr. L. S. S. Reddy is the Vice Chancellor of K. L. University. He is having 25+ years of Teaching and Research experience, published 100+ papers in reputed journals.

Über den Autor

Dr.Kolla Bhanu Prakash is working as Professor in CSE DEPARTMENT, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India. He is having around 12 years of Teaching and 9 years of Research experience. He published around 27 refereed publications in International Conferences and Journals. He authored 3 books. He is member of IEEE, ISTE.


Klappentext

Data science is a field of Big Data geared toward providing meaningful information based on large amounts of complex data. Data science, or data-driven science, combines different fields of work in statistics and computation in order to interpret data for the purpose of decision making. Virtually every organization has it and most want to find ways to use it to help them grow their business. That's where data scientists come in. Data scientists know how to use their skills in math, statistics, programming, and other related subjects to organize large data sets. Data scientist duties typically include creating various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. People within this role should also be able to perform statistical analysis. Our present book covers all these fundamental concepts and practical implementation using R programming.



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