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OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition
OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition

Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.

Key Features

  • Learn how to apply complex visual effects to images with OpenCV 3.x and Python
  • Extract...
Mastering Blockchain: Distributed ledger technology, decentralization, and smart contracts explained, 2nd Edition
Mastering Blockchain: Distributed ledger technology, decentralization, and smart contracts explained, 2nd Edition

Learn about cryptography and cryptocurrencies, so you can build highly secure, decentralized applications and conduct trusted in-app transactions.

Key Features

  • Get to grips with the underlying technical principles and implementations of blockchain
  • Build powerful...
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...
Blockchain By Example: A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
Blockchain By Example: A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger

Implement decentralized blockchain applications to build scalable Dapps

Key Features

  • Understand the blockchain ecosystem and its terminologies
  • Implement smart contracts, wallets, and consensus protocols
  • Design and develop decentralized applications using...
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

Key Features

  • Think deeply as a developer about your strategy and toolset in data science
  • Discover the best tools that...
Machine Learning for Finance: Principles and practice for financial insiders
Machine Learning for Finance: Principles and practice for financial insiders

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

  • Explore advances in machine learning and how to put them to work in financial industries
  • Clear explanation and expert discussion of how machine learning works, with...
Tkinter GUI Application Development Cookbook: A practical solution to your GUI development problems with Python and Tkinter
Tkinter GUI Application Development Cookbook: A practical solution to your GUI development problems with Python and Tkinter

Discover solutions to all your Tkinter and Python GUI development problems

Key Features

  • Integrate efficient Python GUI programming techniques with Tkinter
  • Efficiently implement advanced MVC architectures in your Python GUI apps
  • Solve all your problems...
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
Java Image Processing Recipes: With OpenCV and JVM
Java Image Processing Recipes: With OpenCV and JVM
Quickly obtain solutions to common Java image processing problems, learn best practices, and understand everything OpenCV has to offer for image processing. You will work with a JVM image wrapper to make it very easy to run image transformation through pipelines and obtain instant visual feedback. This book makes heavy use of the...
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Program the Internet of Things with Swift for iOS: Learn How to Program Apps for the Internet of Things
Program the Internet of Things with Swift for iOS: Learn How to Program Apps for the Internet of Things

With this book, you will learn how to build apps and hardware for the Internet of Things, using Apple's native APIs and industry standard protocols like Bluetooth and HTTPS. You'll start out learning how to access the sensors on the iPhone, move on to building your own accessories using the Arduino and Raspberry
...
R Deep Learning Projects: Master the techniques to design and develop neural network models in R
R Deep Learning Projects: Master the techniques to design and develop neural network models in R

5 real-world projects to help you master deep learning concepts

Key Features

  • Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more
  • Get to grips with R's impressive range of...
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