Book Image

Learning Data Mining with Python

Book Image

Learning Data Mining with Python

Overview of this book

Table of Contents (20 chapters)
Learning Data Mining with Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

About the Reviewers

Asad Ahamad is a data enthusiast and loves to work on data to solve challenging problems.

He did his master's degree in industrial mathematics with computer application at Jamia Millia Islamia, New Delhi. He admires mathematics a lot and always tries to use it to gain maximum profit for businesses.

He has good experience working in data mining, machine learning, and data science and has worked for various multinationals in India. He mainly uses R and Python to perform data wrangling and modeling. He is fond of using open source tools for data analysis.

He is an active social media user. Feel free to connect with him on Twitter at @asadtaj88.

P Ashwin is a Bangalore-based engineer who wears many different hats depending on the occasion. He graduated from IIIT, Hyderabad at in 2012 with an M Tech in computer science and engineering. He has a total of 5 years of experience in the software industry, where he has worked in different domains such as testing, data warehousing, replication, and automation. He is very well versed in DB concepts, SQL, and scripting with Bash and Python. He has earned professional certifications in products from Oracle, IBM, Informatica, and Teradata. He's also an ISTQB-certified tester.

In his free time, he volunteers in different technical hackathons or social service activities. He was introduced to Raspberry Pi in one of the hackathons and he's been hooked on it ever since. He writes a lot of code in Python, C, C++, and Shell on his Raspberry Pi B+ cluster. He's currently working on creating his own Beowulf cluster of 64 Raspberry Pi 2s.

Christophe Van Gysel is pursuing a doctorate degree in computer science at the University of Amsterdam under the supervision of Maarten de Rijke and Marcel Worring. He has interned at Google, where he worked on large-scale machine learning and automated speech recognition. During his internship in Facebook's security infrastructure team, he worked on information security and implemented measures against compression side-channel attacks. In the past, he was active as a security researcher. He discovered and reported security vulnerabilities in the web services of Google, Facebook, Dropbox, and PayPal, among others.

Edward C. Delaporte V leads a software development group at the University of Illinois, and he has contributed to the documentation of the Kivy framework. He is thankful to all those whose contributions to the open source community made his career possible, and he hopes this book helps continue to attract enthusiasts to software development.