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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

Understanding the concepts of face recognition

In this section, we will look at the major concepts of face recognition. These concepts will include the following topics:

Understanding the face recognition dataset
The algorithm for face recognition

Understanding the face recognition dataset

You may wonder why I haven't discussed anything related to the dataset until now. This is because I don't want to confuse you by providing all the details about the datasets of two different applications. The dataset that we will cover here is going to be used for face recognition.

If you want to build a face recognition engine from scratch, then you can use following datasets:

CAS-PEAL Face Dataset
Labeled Faces in the Wild

Let's discuss them in further detail.

CAS-PEAL Face Dataset

This is a huge dataset for face recognition tasks. It has various types of face images. It contains face images with different sources of variations, especially Pose, Emotion, Accessories, and Lighting (PEAL) for face recognition tasks...

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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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