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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...
Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques
Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques

Bring a new degree of interconnectivity to your world by building your own intelligent robots

Key Features

  • Leverage fundamentals of AI and robotics
  • Work through use cases to implement various machine learning algorithms
  • Explore Natural Language Processing...
Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark
Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.

Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book...

Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances
Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances

Create AI applications in Python and lay the foundations for your career in data science

Key Features

  • Practical examples that explain key machine learning algorithms
  • Explore neural networks in detail with interesting examples
  • Master core AI concepts with...
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...
Hands-On Security in DevOps: Ensure continuous security, deployment, and delivery with DevSecOps
Hands-On Security in DevOps: Ensure continuous security, deployment, and delivery with DevSecOps

Protect your organization's security at all levels by introducing the latest strategies for securing DevOps

Key Features

  • Integrate security at each layer of the DevOps pipeline
  • Discover security practices to protect your cloud services by detecting fraud and...
Building Intelligent Systems: A Guide to Machine Learning Engineering
Building Intelligent Systems: A Guide to Machine Learning Engineering
Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.


This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your
...
Open Source Intelligence Methods and Tools: A Practical Guide to Online Intelligence
Open Source Intelligence Methods and Tools: A Practical Guide to Online Intelligence
Apply Open Source Intelligence (OSINT) techniques, methods, and tools to acquire information from publicly available online sources to support your intelligence analysis. Use the harvested data in different scenarios such as financial, crime, and terrorism investigations as well as performing business competition analysis and acquiring...
How to Compete in the Age of Artificial Intelligence: Implementing a Collaborative Human-Machine Strategy for Your Business
How to Compete in the Age of Artificial Intelligence: Implementing a Collaborative Human-Machine Strategy for Your Business
Get started with artificial intelligence in your business. This book will help you understand AI, its implications, and how to adopt a strategy that is rational, relevant, and practical.

Beyond the buzzwords and the technology complexities, organizations are struggling to understand what AI means for their industry...
IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up
IoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up
Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest...
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Build next-generation artificial intelligence systems with Java

Key Features

  • Implement AI techniques to build smart applications using Deeplearning4j
  • Perform big data analytics to derive quality insights using Spark MLlib
  • Create self-learning systems using...
Cybersecurity – Attack and Defense Strategies: Infrastructure security with Red Team and Blue Team tactics
Cybersecurity – Attack and Defense Strategies: Infrastructure security with Red Team and Blue Team tactics

Enhance your organization's secure posture by improving your attack and defense strategies

Key Features

  • Gain a clear understanding of the attack methods, and patterns to recognize abnormal behavior within your organization with Blue Team tactics.
  • Learn to unique...
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