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Theory and Methods of Quantification Design on System-Level Electromagnetic Compatibility
Theory and Methods of Quantification Design on System-Level Electromagnetic Compatibility
This book systematically explains the fundamentals of system-level electromagnetic compatibility and introduces the basic concept of system-level electromagnetic compatibility quantification design. The topics covered include the critical technologies in the top-down quantification design of electromagnetic compatibility, quantification...
Python Machine Learning
Python Machine Learning

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics

About This Book

  • Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization
  • Learn effective strategies and best practices to...
Towards Digital Enlightenment: Essays on the Dark and Light Sides of the Digital Revolution
Towards Digital Enlightenment: Essays on the Dark and Light Sides of the Digital Revolution

This new collection of essays follows in the footsteps of the successful volume Thinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society, published at a time when our societies were on a path to technological totalitarianism, as exemplified by mass surveillance reported by Edward Snowden and...

Building Chatbots with Python: Using Natural Language Processing and Machine Learning
Building Chatbots with Python: Using Natural Language Processing and Machine Learning
Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your...
R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
  • Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
  • Build models relating to neural...
Beginning Application Development with TensorFlow and Keras: Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications
Beginning Application Development with TensorFlow and Keras: Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

You need much more than imagination to predict earthquakes and detect brain cancer cells. Become an expert in designing and deploying TensorFlow and Keras models, and generate insightful predictions with the power of deep learning.

Key Features

  • Cover the basics of neural networks and...
Performance Tuning for Linux(R) Servers
Performance Tuning for Linux(R) Servers
Proven techniques for optimizing web, file, print, database, and application servers Practical introductions to open source performance management tools Easy-to-understand examples based on Red Hat Enterprise Linux and Novell SUSE Linux Enterprise ServerAn indispensable guide to maximizing Linux system and application performanceFrom Wall...
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...
Handbook of Open Source Tools
Handbook of Open Source Tools

The constant and speedy progress made by humankind in the industrial revolution, and more recently in the information technology era can be directly attributed to sharing of knowledge between various disciplines, reuse of the knowledge as science and technology advanced, and inclusion of this knowledge in the curriculum. The phrases...

Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

  • Designed to iteratively develop the skills of Python users who don't have a data science background
  • Covers the key foundational concepts...
Security 2020: Reduce Security Risks This Decade
Security 2020: Reduce Security Risks This Decade

Identify real security risks and skip the hype

After years of focusing on IT security, we find that hackers are as active and effective as ever. This book gives application developers, networking and security professionals, those that create standards, and CIOs a straightforward look at the reality of today’s IT...

Predictive Analytics For Dummies
Predictive Analytics For Dummies

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...

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