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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...
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...
Deployment of Microsoft Azure Cloud Solutions: A complete guide to cloud development using Microsoft Azure
Deployment of Microsoft Azure Cloud Solutions: A complete guide to cloud development using Microsoft Azure

Master all the important and tough decision-making aspects involved in architecting an Azure public cloud for your organization.

Key Features

  • Deploy Azure Active Directory and implement synchronization
  • Manage storage solutions with Azure network services
  • ...
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...
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...
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...
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: 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...
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...
Data Analysis with Python: A Modern Approach
Data Analysis with Python: A Modern Approach

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

Key Features

  • Bridge your data analysis...
DevOps for Serverless Applications: Design, deploy, and monitor your serverless applications using DevOps practices
DevOps for Serverless Applications: Design, deploy, and monitor your serverless applications using DevOps practices

Set up complete CI and CD pipelines for your serverless applications using DevOps principles

Key Features

  • Understand various services for designing serverless architecture
  • Build CD pipelines using various cloud providers for your serverless applications
  • ...
Learn Java 12 Programming: A step-by-step guide to learning essential concepts in Java SE 10, 11, and 12
Learn Java 12 Programming: A step-by-step guide to learning essential concepts in Java SE 10, 11, and 12

A comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive programming

Key Features

  • Strengthen your knowledge of important programming concepts and the latest features in Java
  • Explore core...
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