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Julia for Data Science

Anshul Joshi




[PDF.ab33] Julia for Data Science

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 | #979884 in Books |  2016-10-06 |  2016-09-30 | Original language:English |  9.25 x.78 x7.50l, | File type: PDF | 348 pages

||5 of 6 people found the following review helpful.| Julia for Data Science - Not with this Book!|By Customer|As is the case with many Packt publications this work is a genuinely amateurish effort! By way of example, consider pages 23 through 26:

1) Two examples of Julia code are misplaced:
a) Page 23 - "pmap refers to parallel map. For example:" the Julia code which follows uses @parallel, not pmap. The exa|About the Author||Anshul Joshi|Anshul Joshi is a data scientist with experience in recommendation systems, predictive modeling, neural networks, and high performance computing. His research interests are deep learning, artificial intelligence, computation

Key Features

  • An in-depth exploration of Julia's growing ecosystem of packages
  • Work with the most powerful open-source libraries for deep learning, data wrangling, and data visualization
  • Learn about deep learning using Mocha.jl and give speed and high performance to data analysis on large data sets

Book Description

Julia is a fast and high performing language that's perfectly suited to data science with a mature package ...

You easily download any file type for your gadget.Julia for Data Science   |  Anshul Joshi.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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