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Machine Learning Solutions

You're reading from Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788390040

Length 566 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Machine Learning

Author (1):

Jalaj Thanaki

View More author details

Table of Contents (19) Chapters

Machine Learning Solutions

Foreword

Contributors

Preface

1. Credit Risk Modeling

2. Stock Market Price Prediction FREE CHAPTER

3. Customer Analytics

4. Recommendation Systems for E-Commerce

5. Sentiment Analysis

6. Job Recommendation Engine

7. Text Summarization

8. Developing Chatbots

9. Building a Real-Time Object Recognition App

10. Face Recognition and Face Emotion Recognition

11. Building Gaming Bot

List of Cheat Sheets

Strategy for Wining Hackathons

Index

Setting up the coding environment

In this section, we will list down the libraries and equipment you need in order to run the upcoming code. You need to have a webcam that can at least stream the video with good clarity. We will be using OpenCV, TensorFlow, YOLO, Darkflow, and Darknet libraries. I'm not going to explain how to install TensorFlow, because it is an easy process and you can find the documentation for the installation by clicking on https://www.tensorflow.org/install/install_linux.

In this section, we will be looking at how to set up OpenCV first and, in the upcoming sections, we will see how to set up YOLO, Darkflow, and DarkNet.

Setting up and installing OpenCV

OpenCV stands for Open Source Computer Vision. It is designed for computational efficiency, with a strong focus on real-time applications. In this section, you will learn how to set up OpenCV. I'm using Ubuntu 16.04 and I have a GPU, so I have already installed CUDA and CUDNN. If you haven't installed CUDA and CUDNN,...

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Authors (1)

Jalaj Thanaki

Jalaj Thanaki

Jalaj Thanaki is an experienced data scientist with a demonstrated history of working in the information technology, publishing, and finance industries. She is author of the book Python Natural Language Processing, Packt publishing. Her research interest lies in Natural Language Processing, Machine Learning, Deep Learning, and Big Data Analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.

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