About the Reviewers

Guillaume Agis is a French 25 year old with a master's degree in computer science from Epitech, where he studied for 4 years in France and 1 year in Finland.

Open-minded and interested in a lot of domains, such as healthcare, innovation, high-tech, and science, he is always open to new adventures and experiments. Currently, he works as a software engineer in London at a company called Touch Surgery, where he is developing an application. The application is a surgery simulator that allows you to practice and rehearse operations even before setting foot in the operating room.

His previous jobs were, for the most part, in R&D, where he worked with very innovative technologies, such as Mahout, to implement collaborative filtering into artificial intelligence.

He always does his best to bring his team to the top and tries to make a difference.

He's also helping while42, a worldwide alumni network of French engineers, to grow as well as manage the London chapter.

I would like to thank all the people who have brought me to the top and helped me become what I am now.

Saleem A. Ansari is a full stack Java/Scala/Ruby developer with over 7 years of industry experience and a special interest in machine learning and information retrieval. Having implemented data ingestion and processing pipeline in Core Java and Ruby separately, he knows the challenges faced by huge datasets in such systems. He has worked for companies such as Red Hat, Impetus Technologies, Belzabar Software Design, and Exzeo Software Pvt Ltd. He is also a passionate member of the Free and Open Source Software (FOSS) Community. He started his journey with FOSS in the year 2004. In 2005, he formed JMILUG - Linux User's Group at Jamia Millia Islamia University, New Delhi. Since then, he has been contributing to FOSS by organizing community activities and also by contributing code to various projects (http://github.com/tuxdna). He also mentors students on FOSS and its benefits. He is currently enrolled at Georgia Institute of Technology, USA, on the MSCS program. He can be reached at <[e-mail]>.

Apart from reviewing this book, he maintains a blog at http://tuxdna.in/.

First of all, I would like to thank the vibrant, talented, and generous Apache Mahout community that created such a wonderful machine learning library. I would like to thank Packt Publishing and its staff for giving me this wonderful opportunity. I would like to thank the author for his hard work in simplifying and elaborating on the latest information in Apache Mahout.

Sahil Kharb has recently graduated from the Indian Institute of Technology, Jodhpur (India), and is working at Rockon Technologies. In the past, he has worked on Mahout and Hadoop for the last two years. His area of interest is data mining on a large scale. Nowadays, he works on Apache Spark and Apache Storm, doing real-time data analytics and batch processing with the help of Apache Mahout.

He has also reviewed Learning Apache Mahout, Packt Publishing.

I would like to thank my family, for their unconditional love and support, and God Almighty, for giving me strength and endurance. Also, I am thankful to my friend Chandni, who helped me in testing the code.

Pavan Kumar Narayanan is an applied mathematician with over 3 years of experience in mathematical programming, data science, and analytics. Currently based in New York, he has worked to build a marketing analytics product for a startup using Apache Mahout and has published and presented papers in algorithmic research at Transportation Research Board, Washington DC, and SUNY Research Conference, Albany, New York. He also runs a blog, DataScience Hacks (https://datasciencehacks.wordpress.com/). His interests are exploring new problem solving techniques and software, from industrial mathematics to machine learning writing book reviews.

Pavan can be contacted at <[e-mail]>.

I would like to thank my family, for their unconditional love and support, and God Almighty, for giving me strength and endurance.