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Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition
Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition

Master the capabilities of PostgreSQL 11 to efficiently manage and maintain your database

Key Features

  • Master advanced concepts of PostgreSQL 11 with real-world datasets and examples
  • Explore query parallelism, data replication, and database performance while working with...
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

  • Learn the fundamentals of Python programming with interactive projects
  • Apply Python to data...
Wireless Mesh Networks – Efficient Link Scheduling, Channel Assignment and Network Planning Strategies
Wireless Mesh Networks – Efficient Link Scheduling, Channel Assignment and Network Planning Strategies
Wireless mesh networks (WMNs) have recently received a great deal of attention as a promising cost-effective solution to provide coverage and broadband wireless connectivity for mobile users to get access to different IP applications and services. The factor that has helped WMNs become attractive is the wide application prospects...
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. 

This revision is fully updated with new content on social media data analysis, image
...
Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition
Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition

Create succinct and expressive implementations with functional programming in Python

Key Features

  • Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance
  • Get familiar with complex concepts such as monads,...
Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner
Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner
Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.

Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math,
...
Agile Workforce Planning: How to Align People with Organizational Strategy for Improved Performance
Agile Workforce Planning: How to Align People with Organizational Strategy for Improved Performance

As business priorities change and focus shifts to address arising issues, HR professionals need to be able to reorganize talent swiftly and plan for future needs to enable the business to succeed. It covers how to forecast organizational demand for people, resources and skills, analyze the gap between supply and demand and most...

Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues
Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues

Implement classic and functional data structures and algorithms using Python

Key Features

  • A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures.
  • Get a better understanding of advanced Python...
Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages
Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages

Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and...

Parallel Programming with Intel Parallel Studio XE (Wrox Programmer to Programmer)
Parallel Programming with Intel Parallel Studio XE (Wrox Programmer to Programmer)

Nearly all the computers sold today have a multi-core processor, but only a small number of applications are written to take advantage of the extra cores. Most programmers are playing catch-up. A recent consultation with a group of senior programming engineers revealed the top three hurdles in adopting parallelism: the challenges of porting...

Effective Statistical Learning Methods for Actuaries II: Tree-Based Methods and Extensions (Springer Actuarial)
Effective Statistical Learning Methods for Actuaries II: Tree-Based Methods and Extensions (Springer Actuarial)

This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models. Actuaries need these advanced analytical tools to turn the massive data sets now at their...

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