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Practical Convolutional Neural Networks: Implement advanced deep learning models using Python
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python

One stop guide to implementing award-winning, and cutting-edge CNN architectures

Key Features

  • Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques
  • Implement CNN models on image classification, transfer learning, Object Detection,...
Pro SQL Server on Linux: Including Container-Based Deployment with Docker and Kubernetes
Pro SQL Server on Linux: Including Container-Based Deployment with Docker and Kubernetes
Get SQL Server up and running on the Linux operating system and containers. No database professional managing or developing SQL Server on Linux will want to be without this deep and authoritative guide by one of the most respected experts on SQL Server in the industry. Get an inside look at how SQL Server for Linux works through the...
React: Cross-Platform Application Development with React Native: Build 4 real-world apps with React Native
React: Cross-Platform Application Development with React Native: Build 4 real-world apps with React Native

Harness the power of React Native to build 4 real-world apps

Key Features

  • Build quirky and fun projects from scratch and become efficient with React Native
  • Learn to build professional Android and iOS applications using your existing JavaScript knowledge
  • ...
Java EE 8 Development with Eclipse: Develop, test, and troubleshoot Java Enterprise applications rapidly with Eclipse, 3rd Edition
Java EE 8 Development with Eclipse: Develop, test, and troubleshoot Java Enterprise applications rapidly with Eclipse, 3rd Edition

Develop and deploy fully functional applications and microservices utilising Tomcat, Glassfish servers, Cloud and docker in Java EE 8

Key Features

  • Explore the complete workflow of developing enterprise Java applications
  • Develop microservices with Docker Container and...
Mastering Arduino: A project-based approach to electronics, circuits, and programming
Mastering Arduino: A project-based approach to electronics, circuits, and programming

Mastering Arduino is a practical, no-nonsense guide that will teach you the electronics and programming skills that you need to create advanced Arduino projects.

Key Features

  • Covers enough electronics and code for users at any level
  • Includes complete circuit diagrams for...
Hands-On Concurrency with Rust: Confidently build memory-safe, parallel, and efficient software in Rust
Hands-On Concurrency with Rust: Confidently build memory-safe, parallel, and efficient software in Rust

Get to grips with modern software demands by learning the effective uses of Rust's powerful memory safety.

Key Features

  • Learn and improve the sequential performance characteristics of your software
  • Understand the use of operating system processes in a high-scale...
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...
Django 2 by Example: Build powerful and reliable Python web applications from scratch
Django 2 by Example: Build powerful and reliable Python web applications from scratch

Learn Django with four end-to-end projects

Key Features

  • Learn Django by building real-world web applications from scratch
  • Develop powerful web applications quickly using the best coding practices
  • Integrate other technologies into your application with clear,...
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...
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...
Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition
Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition

Gain useful insights from your data using popular data science tools

Key Features

  • A one-stop guide to Python libraries such as pandas and NumPy
  • Comprehensive coverage of data science operations such as data cleaning and data manipulation
  • Choose scalable...
Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing
Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

Get to grips with the most popular Python packages that make data analysis possible

Key Features

  • Explore the tools you need to become a data analyst
  • Discover practical examples to help you grasp data processing concepts
  • Walk through hierarchical indexing...
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