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PostgreSQL 11 Administration Cookbook

Autor Simon Riggs, Gianni Ciolli, Sudheer Kumar Meesala
en Limba Engleză Paperback – 6 mai 2019
Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using Deep Neural Networks, and create insightful predictive models.
Key Features
  • Use a wide variety of Python libraries for practical data mining purposes.
  • Learn how to find, manipulate, analyze, and visualize data using Python.
  • Step-by-step instructions on data mining techniques with Python that have real-world applications.
Book Description
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.
What You Will Learn
  • Apply data mining concepts to real-world problems
  • Predict the outcome of sports matches based on past results
  • Determine the author of a document based on their writing style
  • Use APIs to download datasets from social media and other online services
  • Find and extract good features from difficult datasets
  • Create models that solve real-world problems
  • Design and develop data mining applications using a variety of datasets
  • Perform object detection in images using Deep Neural Networks
  • Find meaningful insights from your data through intuitive visualizations
  • Compute on big data, including real-time data from the internet
Who This Book Is For
If you are a Python programmer who wants to get started with data mining, then this book is for you. If you are a data analyst who wants to leverage the power of Python to perform data mining efficiently, this book will also help you. No previous experience with data mining is expected.
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Specificații

ISBN-13: 9781789537581
ISBN-10: 1789537584
Pagini: 600
Dimensiuni: 191 x 235 x 32 mm
Greutate: 1.02 kg
Editura: Packt Publishing

Notă biografică

Simon Riggs is the CTO of 2ndQuadrant, having contributed to PostgreSQL as a major developer and committer for 14 years. He has written and designed features for replication, performance, BI, management, and security. Under his guidance, 2ndQuadrant is now a leading developer of open source PostgreSQL, serving hundreds of clients in USA, Europe, and worldwide. Simon is a frequent speaker at many conferences on PostgreSQL Futures. He has worked as a database architect for 30 years.