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Python: Real-World Data Science

You're reading from Python: Real-World Data Science Real-World Data Science

Product type Course

Published in Jun 2016

Publisher

ISBN-13 9781786465160

Length 1255 pages

Edition 1st Edition

Languages

Python

Concepts

Machine Learning

Authors (6):

Fabrizio Romano

Dusty Phillips

Phuong Vo.T.H

Martin Czygan

Robert Layton

Sebastian Raschka

+2 more

View More author details

Table of Contents (12) Chapters

Table of Contents FREE CHAPTER

Python: Real-World Data Science

Meet Your Course Guide

What's so cool about Data Science?

Course Structure

Course Journey

The Course Roadmap and Timeline

1. Course Module 1: Python Fundamentals

2. Course Module 2: Data Analysis

3. Course Module 3: Data Mining

4. Course Module 4: Machine Learning

Index

Part 1. Course Module 1: Python Fundamentals

Course Module 1: Python Fundamentals

Course Module 1: Python Fundamentals

Course Module 1: Python Fundamentals

The rest of the chapter is locked

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83

Tech Concepts

36

Programming languages

73

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Authors (6)

Fabrizio Romano

Fabrizio Romano

Fabrizio Romano was born in Italy in 1975. He holds a master's degree in Computer Science Engineering from the University of Padova. He's been working as a professional software developer since 1999. Fabrizio has been part of Sohonet's Product Team since 2016. In 2020, the Television Academy honored them with an Emmy Award in Engineering Development for advancing remote collaboration.

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Dusty Phillips

Dusty Phillips

Dusty Phillips is a Canadian software developer and an author currently living in New Brunswick. He has been active in the open-source community for 2 decades and has been programming in Python for nearly as long. He holds a master's degree in computer science and has worked for Facebook, the United Nations, and several startups.

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Phuong Vo.T.H

Phuong Vo.T.H

Phuong Vo.T.H has a MSc degree in computer science, which is related to machine learning. After graduation, she continued to work in some companies as a data scientist. She has experience in analyzing users' behavior and building recommendation systems based on users' web histories. She loves to read machine learning and mathematics algorithm books, as well as data analysis articles.

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Martin Czygan

Martin Czygan

Martin Czygan studied German literature and computer science in Leipzig, Germany. He has been working as a software engineer for more than 10 years. For the past eight years, he has been diving into Python, and is still enjoying it. In recent years, he has been helping clients to build data processing pipelines and search and analytics systems.

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Robert Layton

Robert Layton

Robert Layton is a data scientist investigating data-driven applications to businesses across a number of sectors. He received a PhD investigating cybercrime analytics from the Internet Commerce Security Laboratory at Federation University Australia, before moving into industry, starting his own data analytics company dataPipeline. Next, he created Eureaktive, which works with tech-based startups on developing their proof-of-concepts and early-stage prototypes. Robert also runs the LearningTensorFlow website, which is one of the world's premier tutorial websites for Google's TensorFlow library. Robert is an active member of the Python community, having used Python for more than 8 years. He has presented at PyConAU for the last four years and works with Python Charmers to provide Python-based training for businesses and professionals from a wide range of organisations. Robert can be best reached via Twitter @robertlayton

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Sebastian Raschka

Sebastian Raschka

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.

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