Ultimate Parallel and Distributed Computing with Julia For Data Science
eBook - ePub

Ultimate Parallel and Distributed Computing with Julia For Data Science

Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition)

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Ultimate Parallel and Distributed Computing with Julia For Data Science

Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition)

About this book

Unleash Julia's power: Code Your Data Stories, Shape Machine Intelligence!
Book DescriptionThis book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.
The handbook culminates in optimizing workflows with Julia's parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning.
Table of Contents1. Julia In Data Science Arena2. Getting Started with Julia3. Features Assisting Scaling ML Projects4. Data Structures in Julia5. Working With Datasets In Julia6. Basics of Statistics7. Probability Data Distributions8. Framing Data in Julia9. Working on Data in DataFrames10. Visualizing Data in Julia11. Introducing Machine Learning in Julia12. Data and Models13. Bayesian Statistics and Modeling14. Parallel Computation in Julia15. Distributed Computation in JuliaIndex

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Yes, you can access Ultimate Parallel and Distributed Computing with Julia For Data Science by Nabanita Dash in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. About the Author
  6. About the Technical Reviewers
  7. Acknowledgements
  8. Preface
  9. Errata
  10. Table of Contents
  11. 1. Julia In Data Science Arena
  12. 2. Getting Started with Julia
  13. 3. Features Assisting Scaling ML Projects
  14. 4. Data Structures in Julia
  15. 5. Working With Datasets In Julia
  16. 6. Basics of Statistics
  17. 7. Probability Data Distributions
  18. 8. Framing Data in Julia
  19. 9. Working on Data in DataFrames
  20. 10. Visualizing Data in Julia
  21. 11. Introducing Machine Learning in Julia
  22. 12. Data and Models
  23. 13. Bayesian Statistics and Modeling
  24. 14. Parallel Computation in Julia
  25. 15. Distributed Computation in Julia
  26. Index