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Julia for Data Science

You're reading from Julia for Data Science high-performance computing simplified

Product type Paperback

Published in Sep 2016

Publisher Packt

ISBN-13 9781785289699

Length 346 pages

Edition 1st Edition

Languages

Julia

Concepts

Data Science

Author (1):

Anshul Joshi

View More author details

Table of Contents (12) Chapters

Preface

1. The Groundwork – Julia's Environment

2. Data Munging FREE CHAPTER

3. Data Exploration

4. Deep Dive into Inferential Statistics

5. Making Sense of Data Using Visualization

6. Supervised Machine Learning

7. Unsupervised Machine Learning

8. Creating Ensemble Models

9. Time Series

10. Collaborative Filtering and Recommendation System

11. Introduction to Deep Learning

Preface

Data Scientist: The Sexiest Job of the 21st Century, Harvard Business Review. And why Julia? A high level language with large scientific community and performance comparable to C, it is touted as next best language for data science. Using Julia, we can create statistical models, highly performant machine learning systems, and beautiful and attractive visualizations.

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Authors (1)

Anshul Joshi

Anshul Joshi

Anshul Joshi is a data scientist with experience in recommendation systems, predictive modeling, neural networks, and high performance computing. His research interests encompass deep learning, artificial intelligence, and computational physics. Most of the time, he can be caught exploring GitHub or trying anything new he can get his hands on. You can also follow his personal blog.

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