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Circuit Analysis I with MATLAB Computing and Simulink/SimPowerSystems Modeling
Circuit Analysis I with MATLAB Computing and Simulink/SimPowerSystems Modeling
This text is an introduction to the basic principles of electrical engineering and covers DC and AC circuit analysis and Transients. It is intended for all engineering majors and presumes knowledge of first year differential and integral calculus and physics. The last two chapters include step-by-step procedures for the solutions of simple...
Cartesian Genetic Programming (Natural Computing Series)
Cartesian Genetic Programming (Natural Computing Series)

Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype–phenotype mapping, in that genes can be noncoding. It has spawned a number of new...

The Art of Computer Programming, Volume 4, Fascicle 2: Generating All Tuples and Permutations
The Art of Computer Programming, Volume 4, Fascicle 2: Generating All Tuples and Permutations

Finally, after a wait of more than thirty-five years, the first part of Volume 4 is at last ready for publication. Check out the boxed set that brings together Volumes 1 - 4A in one elegant case, and offers the purchaser a $50 discount off the price of buying the four volumes individually.

...

Evolutionary Optimization Algorithms
Evolutionary Optimization Algorithms

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms

Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant...

3D Imaging in Medicine: Algorithms, Systems, Applications (Nato ASI Subseries F:)
3D Imaging in Medicine: Algorithms, Systems, Applications (Nato ASI Subseries F:)
The visualization of human anatomy for diagnostic, therapeutic, and educational pur­ poses has long been a challenge for scientists and artists. In vivo medical imaging could not be introduced until the discovery of X-rays by Wilhelm Conrad ROntgen in 1895. With the early medical imaging techniques which are still in use today, the...
Modular Algorithms in Symbolic Summation and Symbolic Integration (Lecture Notes in Computer Science)
Modular Algorithms in Symbolic Summation and Symbolic Integration (Lecture Notes in Computer Science)
This work brings together two streams in computer algebra: symbolic integration and summation on the one hand, and fast algorithmics on the other hand. In many algorithmically oriented areas of computer science, theanalysisof- gorithms–placedintothe limelightbyDonKnuth’stalkat the 1970ICM –provides a crystal-clear criterion for...
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively

Key Features

  • Design and create neural network architectures on different domains using Keras
  • Integrate neural network models in your applications using this highly practical...
Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python
Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python

Become a master at penetration testing using machine learning with Python

Key Features

  • Identify ambiguities and breach intelligent security systems
  • Perform unique cyber attacks to breach robust systems
  • Learn to leverage machine learning algorithms
    • ...
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

  • Exploit the features of Tensorflow to build and deploy machine learning models
  • Train neural networks to tackle real-world problems in Computer Vision 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...
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...
Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras
Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras

Explore TensorFlow's capabilities to perform efficient deep learning on images

Key Features

  • Discover image processing for machine vision
  • Build an effective image classification system using the power of CNNs
  • Leverage TensorFlow's capabilities to...
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