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Julia Cookbook

You're reading from  Julia Cookbook

Product type Book
Published in Sep 2016
Publisher
ISBN-13 9781785882012
Pages 172 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Raj R Jalem Raj R Jalem
Profile icon Raj R Jalem
LinkedIn
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Jalem Raj Rohit Jalem Raj Rohit
Profile icon Jalem Raj Rohit
LinkedIn
Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.
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Table of Contents (12) Chapters

Julia Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Extracting and Handling Data 2. Metaprogramming 3. Statistics with Julia 4. Building Data Science Models 5. Working with Visualizations 6. Parallel Computing

Introduction

In this chapter, you will learn about various data science and statistical models. You will learn to design, customize, and apply them to various data science problems. This chapter will also teach you about model selection and the ways to build and understand robust statistical models.

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Authors (2)

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Profile icon Raj R Jalem
LinkedIn
See other products by Raj R Jalem
Profile icon Jalem Raj Rohit
LinkedIn
Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.
See other products by Jalem Raj Rohit
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