- Machine Learning With Go
- Daniel Whitenack
- 167字
- 2021-07-08 10:37:22
About the Author
Daniel Whitenack (@dwhitena), PhD, is a trained data scientist working with Pachyderm (@pachydermIO). Daniel develops innovative, distributed data pipelines that include predictive models, data visualizations, statistical analyses, and more. He has spoken at conferences around the world (GopherCon, JuliaCon, PyCon, ODSC, Spark Summit, and more), teaches data science/engineering at Purdue University (@LifeAtPurdue), and, with Ardan Labs (@ardanlabs), maintains the Go kernel for Jupyter, and is actively helping to organize contributions to various open source data science projects.
I would like to thank my wife for her boundless patience and support while writing this book.
I would also like to acknowledge the many wonderful gophers and data scientists that have mentored me, collaborated with me, and encouraged me. These include Bill Kennedy, Brendan Tracey, Sebastien Binet, Alex Sanchez, the whole team at Pachyderm (including Joey Zwicker and Joe Doliner), Chris Tava, Mat Ryer, David Hernandez, Xuanyi Chew, the team at Minio (including Anand Babu Periasamy and Garima Kapoor), and many more!
Soli Deo Gloria
I would also like to acknowledge the many wonderful gophers and data scientists that have mentored me, collaborated with me, and encouraged me. These include Bill Kennedy, Brendan Tracey, Sebastien Binet, Alex Sanchez, the whole team at Pachyderm (including Joey Zwicker and Joe Doliner), Chris Tava, Mat Ryer, David Hernandez, Xuanyi Chew, the team at Minio (including Anand Babu Periasamy and Garima Kapoor), and many more!
Soli Deo Gloria
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