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Data Science  with Python

You're reading from   Data Science with Python Combine Python with machine learning principles to discover hidden patterns in raw data

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Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781838552862
Length 426 pages
Edition 1st Edition
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Authors (3):
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Rohan Chopra Rohan Chopra
Author Profile Icon Rohan Chopra
Rohan Chopra
Mohamed Noordeen Alaudeen Mohamed Noordeen Alaudeen
Author Profile Icon Mohamed Noordeen Alaudeen
Mohamed Noordeen Alaudeen
Aaron England Aaron England
Author Profile Icon Aaron England
Aaron England
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Table of Contents (10) Chapters Close

About the Book 1. Introduction to Data Science and Data Pre-Processing FREE CHAPTER 2. Data Visualization 3. Introduction to Machine Learning via Scikit-Learn 4. Dimensionality Reduction and Unsupervised Learning 5. Mastering Structured Data 6. Decoding Images 7. Processing Human Language 8. Tips and Tricks of the Trade 1. Appendix

Introduction

So far, we have only been working with numbers and text. In this chapter, we will learn how to use machine learning to decode images and extract meaningful information, such as the type of object present in an image, or the number written in an image. Have you ever stopped to think about how our brains interpret the images they receive from our eyes? After millions of years of evolution, our brains have become highly efficient and accurate at recognizing objects and patterns from the images they get from our eyes. We have been able to replicate the function of our eyes using cameras, but making computers recognize patterns and objects in images is a really tough job. The field associated with understanding what is present in images is known as computer vision. The field of computer vision has witnessed tremendous research and advancements in the past few years. The introduction of Convoluted Neural Networks (CNNs) and the ability to train neural networks on GPUs were the biggest...

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