●Exploring the world of data science by creating from scratch using Julia ●An introductory book on Julia for data scientists!
●Processing power that surpasses R and Python, on par with C++ ●Explanation of numerical calculations, statistical models, and beautiful visualization techniques ●Thorough explanation of the trade-off problem between bias and variance ■Original book "Julia for Data Science - Explore the world of data science from scratch with Julia by your side" Packt Publishing (2016) ■Original author Anshul Joshi ■Publication date October 1, 2017 ■Price 3,600 yen (excluding tax) ■Format B5 size, 308 pages ■Published by NTS Corporation ISBN 978-4-86043-501-1 C3004
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basic information
Chapter 1: Basic Principles: The Julia Environment Chapter 2: Data Managing Chapter 3: Data Exploration Chapter 4: Delving into Inferential Statistics Chapter 5: Understanding Data Using Visualization Chapter 6: Supervised Machine Learning Chapter 7: Unsupervised Machine Learning Chapter 8: Creating Ensemble Models Chapter 9: Time Series Chapter 10: Collaborative Filtering and Recommendation Systems Chapter 11: Introduction to Deep Learning
Price information
List price: 3,600 yen (excluding tax)
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Applications/Examples of results
Stats.jl / Distributions.jl / Vega / Asciiplot / Gadfly / Jupyter Notebook / Data Munging / Ensemble Learning / Correlation Rule Mining / Collaborative Filtering / Naive Bayes / Decision Modeling / Random Forest / Clustering / Supervised Machine Learning / Unsupervised Machine Learning / Deep Learning
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