●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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NTS selects reliable information from the overwhelming amount of information through seminars, publications, and literature information activities, and passes it on to the next generation. From abundance to certainty—that is the philosophy of NTS's activities.
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