- Statistical Application Development with R and Python(Second Edition)
- Prabhanjan Narayanachar Tattar
- 356字
- 2021-07-02 18:44:03
About the Reviewers
Dr. Ratnadip Adhikari received his B.Sc degree with Mathematics Honors from Assam University, India, in 2004 and M.Sc in applied mathematics from Indian Institute of Technology, Roorkee, in 2006. After that he obtained M.Tech in Computer Science and Technology and Ph.D. in Computer Science, both from Jawaharlal Nehru University, New Delhi, India, in 2009 and 2014, respectively.
He worked as an Assistant Professor in the Computer Science & Engineering (CSE) Dept. of the LNM Institute of Information Technology (LNMIIT), Jaipur, Rajasthan, India. At present, he works as a Senior Data Scientist at Fractal Analytics, Bangalore, India. His primary research interests include Pattern recognition, time series forecasting, data stream classification, and hybrid modeling. The research works of Dr. Adhikari has been published in various reputed international journals and at conferences. He has attended a number of conferences and workshops throughout his academic career.
Ajay Ohri is the founder of Decisionstats.com and has 14 years work experience as a data scientist. He advises multiple startups in analytics off-shoring, analytics services, and analytics education, as well as using social media to enhance buzz for analytics products. Mr. Ohri's research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces for cloud computing, investigating climate change and knowledge flows.
He founded Decisionstats.com in 2007 a blog which has gathered more than 100,000 views annually since past 7 years.
His other books include R for Business Analytics (Springer 2012) and R for Cloud Computing (Springer 2014), and Python for R Users (Wiley 2017)
Abhinav Rai has been working as a Data Scientist for nearly a decade, currently working at Microsoft. He has experience working in telecom, retail marketing, and online advertisement. His areas of interest include the evolving techniques of machine learning and the associated technologies. He is especially more interested in analyzing large and humongous datasets and likes to generate deep insights in such scenarios. Academically, he holds a double master's degree in Mathematics from Deendayal Upadhyay Gorakhpur University with an NBHM scholarship and in Computer Science from Indian Statistical Institute, rigor and sophistication is a surety with his analytical deliveries.
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