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Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python

Key Features

  • A go-to guide to help you master AI algorithms and concepts
  • 8 real-world projects tackling different challenges in healthcare, e-commerce, and...
Microservices with Clojure: Develop event-driven, scalable, and reactive microservices with real-time monitoring
Microservices with Clojure: Develop event-driven, scalable, and reactive microservices with real-time monitoring

The common patterns and practices of the microservice architecture and their application using the Clojure programming language.

Key Features

  • Relevance of the microservice architecture and benefits of Clojure's functional and simple features to implement it.
  • Learn best...
Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks

Key Features

  • Understand the foundations of meta learning algorithms
  • Explore practical examples to explore...
Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi
Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

Key Features

  • Build TensorFlow-powered AI applications for mobile and embedded devices
  • Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning
  • ...
Hands-On Automation Testing with Java for Beginners: Build automation testing frameworks from scratch with Java
Hands-On Automation Testing with Java for Beginners: Build automation testing frameworks from scratch with Java

Learn Java programming concepts to design automation testing frameworks

Key Features

  • Learn to use Java program logic in application testing
  • Understand various test-driven development concepts with Java tools
  • Master Java with lots of programming...
Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML
Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML

Bring magic to your mobile apps using TensorFlow Lite and Core ML

Key Features

  • Explore machine learning using classification, analytics, and detection tasks.
  • Work with image, text and video datasets to delve into real-world tasks
  • Build apps for Android and...
Software Architecture with Spring 5.0: Design and architect highly scalable, robust, and high-performance Java applications
Software Architecture with Spring 5.0: Design and architect highly scalable, robust, and high-performance Java applications

Discover how different software architectural models can help you solve problems, and learn best practices for the software development cycle

Key Features

  • Learn concepts related to software architecture and embrace them using the latest features of Spring 5
  • Discover...
Fundamentals of Linux: Explore the essentials of the Linux command line
Fundamentals of Linux: Explore the essentials of the Linux command line

Develop a solid understanding of the important command-line tools and utilities in Linux

Key Features

  • Delve into the fundamentals of Linux
  • Explore and work with virtualization, command lines, and Bash shell scripts
  • Use special file permission flags such as...
Web Penetration Testing with Kali Linux - Third Edition: Explore the methods and tools of ethical hacking with Kali Linux
Web Penetration Testing with Kali Linux - Third Edition: Explore the methods and tools of ethical hacking with Kali Linux

Build your defense against web attacks with Kali Linux, including command injection flaws, crypto implementation layers, and web application security holes

Key Features

  • Know how to set up your lab with Kali Linux
  • Discover the core concepts of web penetration testing
  • ...
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

  • Build a variety of Hidden Markov Models (HMM)
  • Create and apply models to any sequence of data to analyze, predict, and extract valuable...
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Key Features

  • This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
  • Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
  • Get simple examples and real-life data...
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