Synopses & Reviews
Synopsis
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.
Synopsis
A practical guide to administer, monitor and replicate your PostgreSQL 11 database
Key Features
- Study and apply the newly introduced features in PostgreSQL 11
- Tackle any problem in PostgreSQL 11 administration and management
- Catch up on expert techniques for monitoring, fine-tuning, and securing your database
Book Description
PostgreSQL is a powerful, open source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 11 allows you to scale up your PostgreSQL infrastructure. This book takes a step-by-step, recipe-based approach to effective PostgreSQL administration.
The book will introduce you to new features such as logical replication, native table partitioning, additional query parallelism, and much more to help you to understand and control, crash recovery and plan backups. You will learn how to tackle a variety of problems and pain points for any database administrator such as creating tables, managing views, improving performance, and securing your database. As you make steady progress, the book will draw attention to important topics such as monitoring roles, backup, and recovery of your PostgreSQL 11 database to help you understand roles and produce a summary of log files, ensuring high availability, concurrency, and replication.
By the end of this book, you will have the necessary knowledge to manage your PostgreSQL 11 database efficiently.
What You Will Learn:
- Troubleshoot open source PostgreSQL version 11 on various platforms
- Deploy best practices for planning and designing live databases
- Select and implement robust backup and recovery techniques in PostgreSQL 11
- Use pgAdmin or OmniDB to perform database administrator (DBA) tasks
- Adopt efficient replication and high availability techniques in PostgreSQL
- Improve the performance of your PostgreSQL solution
Who this book is for
This book is designed for database administrators, data architects, database developers, or anyone with an interest in planning and running live production databases using PostgreSQL 11. It is also ideal if you're looking for hands-on solutions to any problem associated with PostgreSQL 11 administration. Some experience with handling PostgreSQL databases will be beneficial