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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...
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...
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Be an adaptive thinker that leads the way to Artificial Intelligence

Key Features

  • AI-based examples to guide you in designing and implementing machine intelligence
  • Develop your own method for future AI solutions
  • Acquire advanced AI, machine learning, and...
Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition
Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition

Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency.

Key Features

  • Run .NET Framework and .NET Core apps in Docker containers for efficiency, security and portability
  • Design...
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh

Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python

Key Features

  • A step by step approach to creating interactive plots with Bokeh
  • Go from nstallation all the way to deploying your very own Bokeh application
  • Work...
Design Patterns and Best Practices in Java: A comprehensive guide to building smart and reusable code in Java
Design Patterns and Best Practices in Java: A comprehensive guide to building smart and reusable code in Java

Create various design patterns to master the art of solving problems using Java

Key Features

  • This book demonstrates the shift from OOP to functional programming and covers reactive and functional patterns in a clear and step-by-step manner
  • All the design patterns come...
Practical API Architecture and Development with Azure and AWS: Design and Implementation of APIs for the Cloud
Practical API Architecture and Development with Azure and AWS: Design and Implementation of APIs for the Cloud
Learn the business and technical importance of API design and architecture using the available cloud services from Azure and AWS.

This book starts off with an introduction to APIs and the concept of API Economy from a business and organizational perspective. You'll decide on a sustainable API strategy and API
...
The Modern C++ Challenge: Become an expert programmer by solving real-world problems
The Modern C++ Challenge: Become an expert programmer by solving real-world problems

Test your C++ programming skills by solving real-world programming problems covered in the book

Key Features

  • Solve a variety of real-world programming and logic problems by leveraging the power of C++17
  • Test your skills in using language features, algorithms, data...
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so...
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras
Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

Key Features

  • Build deep learning models with transfer learning principles in Python
  • implement transfer learning to solve real-world research...
Angular Design Patterns: Implement the Gang of Four patterns in your apps with Angular
Angular Design Patterns: Implement the Gang of Four patterns in your apps with Angular

Make the most of Angular by leveraging design patterns and best practices to build stable and high performing apps

Key Features

  • Get to grips with the benefits and applicability of using different design patterns in Angular with the help of real-world examples
  • Identify and...
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