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Machine Learning Solutions

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

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788390040
Length 566 pages
Edition 1st Edition
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (19) Chapters Close

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 set up the coding environment for the face recognition application. We will look at how to install dependencies. We will be installing the following two libraries:

  • dlib

  • face_recognition

Let's begin the installation process.

Installing dlib

In order to install the dlib library, we need to perform the following steps. We can install this library either on a Linux operating system (OS), or on macOS. Let's follow the stepwise instructions:

  1. Download the source code of dlib by executing this command:

    sudo git clone https://github.com/davisking/dlib.git.
  2. Now jump to the dlib directory by executing this command: cd dlib.

  3. Now we need to build the main dlib library, so we need to execute the following commands stepwise:

    1. sudo mkdir build.

    2. cd build.

    3. cmake .. -DDLIB_USE_CUDA=0 -DUSE_AVX_INSTRUCTIONS=1.

    4. cmake --build.

Once the project has been built successfully, you can move to the next installation steps. You also need to install OpenCV. The installation...

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