JavaScript for Data Science by Maya Gans
This book introduces readers to JavaScript's power and idiosyncrasies, and guides them through the key features of the modern version of the language and its tools and libraries. It places equal focus on client- and server-side programming, and shows readers how to create interactive web content, build and test data services.-
Introduction to NFL Analytics with R
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Probability and Statistics for Data Science
- Deep Learning and Statistics
- Introduction to Data Science
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DevOps for Data Science
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Data Science in Healthcare
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What's the Question?
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Test-Driven Data Analysis
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Textual and Contextual Data Analysis
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Advanced Basketball Data Science
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Introduction to Classifier Performance Analysis with R
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Research Software Engineering
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Getting (more out of) Graphics
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Supervised Machine Learning for Text Analysis in R
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Massive Graph Analytics
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An Introduction to IoT Analytics
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Deep-Learning-Assisted Statistical Methods with Examples in R
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Natural Language Processing in the Real World
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Predictive Modelling for Football Analytics
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Models Demystified
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Cybersecurity Analytics
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Big Data Analytics
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Basketball Data Science
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Why Data Science Projects Fail
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Mathematical Engineering of Deep Learning
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Data Science for Water Utilities
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Real World AI Ethics for Data Scientists
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Data Science and Analytics Strategy
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Hands-On Data Science for Librarians
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Data Science
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Practitioner's Guide to Data Science
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Practitioner’s Guide to Data Science
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Spatial Statistics for Data Science
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Data Science in Practice
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The Data Preparation Journey
Toby Hodges is a bioinformatician turned community coordinator, working on the Bio-IT
Project at EMBL. He teaches a lot of courses in computing, organizes a lot of communitybuilding
events, listens to a lot of punk rock, and occasionally still finds time to write code
and ride his bike. Toby would like to thank his wife for her support and patience while he
swore about how annoying JavaScript is to debug.
Greg Wilson has worked for 35 years in both industry and academia, and is the author or
editor of several books on computing and two for children. He co-founded [Software
Carpentry][carpentries], a non-profit organization that teaches basic computing skills to
researchers, and is now part of the education team at RStudio.
| SKU | Unavailable |
| ISBN 13 | 9780367422486 |
| ISBN 10 | 0367422484 |
| Title | JavaScript for Data Science |
| Author | Maya Gans |
| Series | Chapman And Hall Crc Data Science Series |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Routledge |
| Year published | 2020-01-28 |
| Number of pages | 244 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |