- Mastering Java for Data Science
- Alexey Grigorev
- 341字
- 2021-07-02 23:44:28
About the Reviewers
Stanislav Bashkyrtsev has been working with Java for the last 9 years. Last years were focused on automation and optimization of development processes.
Luca Massaron is a data scientist and a marketing research director specialized in multivariate statistical analysis, machine learning, and customer insight with over a decade of experience in solving real-world problems and in generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of Web audience analysis in Italy to achieving the rank of top ten Kaggler, he has always been passionate about everything regarding data and analysis and about demonstrating the potentiality of data-driven knowledge discovery to both experts and nonexperts. Favoring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science just by doing the essential. He is the coauthor of five recently published books and he is just working on the sixth. For Packt Publishing he contributed as an author to Python Data Science Essentials (both 1st and 2nd editions), Regression Analysis with Python, and Large Scale Machine Learning with Python.
You can find him on LinkedIn at https://it.linkedin.com/in/lmassaron.
Prashant Verma started his IT carrier in 2011 as a Java developer in Ericsson working in telecom domain. After a couple of years of JAVA EE experience, he moved into big data domain, and has worked on almost all the popular big data technologies such as Hadoop, Spark, Flume, Mongo, Cassandra, and so on. He has also played with Scala. Currently, he works with QA Infotech as lead data engineer, working on solving e-learning domain problems using analytics and machine learning.
Prashant has worked for many companies such as Ericsson and QA Infotech, with domain knowledge of telecom and e-learning. Prashant has also been working as a freelance consultant in his free time.
I want to thank Packt Publishing for giving me the chance to review the book as well as my employer and my family for their patience while I was busy working on this book.
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