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Hands-On Cybersecurity for Architects: Plan and design robust security architectures
Hands-On Cybersecurity for Architects: Plan and design robust security architectures

Gain practical experience of creating security solutions and designing secure, highly available, and dynamic infrastructure for your organization

Key Features

  • Architect complex security structures using standard practices and use cases
  • Integrate security with any...
Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts
Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts

A comprehensive guide to exploring software architecture concepts and implementing best practices

Key Features

  • Enhance your skills to grow your career as a software architect
  • Design efficient software architectures using patterns and best practices
  • Learn...
Python Network Programming: Conquer all your networking challenges with the powerful Python language
Python Network Programming: Conquer all your networking challenges with the powerful Python language

Power up your network applications with Python programming

Key Features

  • Master Python skills to develop powerful network applications
  • Grasp the fundamentals and functionalities of SDN
  • Design multi-threaded, event-driven architectures for echo and chat...
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

  • Designed to iteratively develop the skills of Python users who don't have a data science background
  • Covers the key foundational concepts...
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web

Key Features

  • Build industry-standard recommender systems
  • ...
Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning
Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning

Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease

Key Features

  • Build smart mobile applications for Android and iOS devices
  • Use popular machine learning toolkits such as Core ML and TensorFlow Lite
  • Explore...
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
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...
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...
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...
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively

Key Features

  • Design and create neural network architectures on different domains using Keras
  • Integrate neural network models in your applications using this highly practical...
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