Book Image

Learning Data Mining with Python - Second Edition

By : Robert Layton
Book Image

Learning Data Mining with Python - Second Edition

By: Robert Layton

Overview of this book

This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now. With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Big data


What makes big data different? Most big data proponents talk about the four Vs of big data:

  • Volume: The amount of data that we generate and store is growing at an increasing rate, and predictions of the future generally only suggest further increases. Today's multi-gigabyte-sized hard drives will turn into exabyte-sized drives in a few years, and network throughput traffic will be increasing as well. The signal-to-noise ratio can be quite difficult, with important data being lost in the mountain of non-important data.
  • Velocity: While related to volume, the velocity of data is increasing too. Modern cars have hundreds of sensors that stream data into their computers, and information from these sensors needs to be analyzed at a sub-second level to operate the car. It isn't just a case of finding answers in the volume of data; those answers often need to come quickly. In some cases, we also simply do not have enough disk space to store data, meaning we also need to make decisions on...