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Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as...
Microsoft Power BI Quick Start Guide: Build dashboards and visualizations to make your data come to life
Microsoft Power BI Quick Start Guide: Build dashboards and visualizations to make your data come to life

Get actionable insights from your data using the data visualization capabilities of Microsoft Power BI

Key Features

  • Get to grips with the fundamentals of Microsoft Power BI and its business intelligence capabilities
  • Build accurate analytical models, reports, 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...
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,...
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...
PySpark Recipes: A Problem-Solution Approach with PySpark2
PySpark Recipes: A Problem-Solution Approach with PySpark2
Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!

Building an RPG with Unity 2018: Leverage the power of Unity 2018 to build elements of an RPG., 2nd Edition
Building an RPG with Unity 2018: Leverage the power of Unity 2018 to build elements of an RPG., 2nd Edition

Build a high-end, multiplayer role-playing game (RPG) from scratch with C# and Unity 2018

Key Features

  • Get insights into Unity's user interface (UI) system and and build UIs for your RPG
  • Implement artificial intelligence (AI) to build intelligent entities that take...
Practical TLA+: Planning Driven Development
Practical TLA+: Planning Driven Development
Learn how to design complex, correct programs and fix problems before writing a single line of code. This book is a practical, comprehensive resource on TLA+ programming with rich, complex examples. Practical TLA+ shows you how to use TLA+ to specify a complex system and test the design itself for...
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications....
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 Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers...
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...
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