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Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines. It also provides numerical methods for solving these problems using suitable algorithms and for writing computer codes to find solutions. For discrete...
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...
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
A Primer on Quantum Computing (SpringerBriefs in Computer Science)
A Primer on Quantum Computing (SpringerBriefs in Computer Science)
This book is about quantum computing and quantum algorithms. The book starts with a chapter introducing the basic rules of quantum mechanics and how they can be used to build quantum circuits and perform computations.

Further, Grover's algorithm is presented for unstructured search discussing its consequences and
...
Blockchain for Business 2019: A user-friendly introduction to blockchain technology and its business applications
Blockchain for Business 2019: A user-friendly introduction to blockchain technology and its business applications

Your one-stop guide to blockchain technology and its business applications

Key Features

  • Assimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications
  • Know in and out of blockchain technology to understand various business use...
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...
Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python

Key Features

  • Enter the world of artificial intelligence using the power of Python
  • An example-rich guide to master various RL and DRL algorithms
  • Explore...
Rapid BeagleBoard Prototyping with MATLAB and Simulink
Rapid BeagleBoard Prototyping with MATLAB and Simulink

Leverage the power of BeagleBoard to develop and deploy practical embedded projects

Overview

  • Develop and validate your own embedded audio/video applications rapidly with Beagleboard
  • Create embedded Linux applications on a pure Windows PC
  • Full of illustrations, diagrams, and...
Unsupervised Learning with R
Unsupervised Learning with R

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data

About This Book

  • Unlock and discover how to tackle clusters of raw data through practical examples in R
  • Explore your data and create your own models from scratch
  • ...
Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python
Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement...
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
'Kernel methods form an important aspect of modern pattern analysis, and this book gives a lively and timely account of such methods. ... if you want to get a good idea of the current research in this field, this book cannot be ignored.' SIAM Review '... the book provides an excellent overview of this growing field. I highly recommend it to those...
Learn Blockchain Programming with JavaScript: Build your very own Blockchain and decentralized network with JavaScript and Node.js
Learn Blockchain Programming with JavaScript: Build your very own Blockchain and decentralized network with JavaScript and Node.js

Explore the essentials of blockchain technology with JavaScript to develop highly secure bitcoin-like applications

Key Features

  • Develop bitcoin and blockchain-based cryptocurrencies using JavaScript
  • Create secure and high-performant blockchain networks
  • ...
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