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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...
Cyber Operations: Building, Defending, and Attacking Modern Computer Networks
Cyber Operations: Building, Defending, and Attacking Modern Computer Networks

Know how to set up, defend, and attack computer networks with this revised and expanded second edition.

You will learn to configure your network from the ground up, beginning with developing your own private virtual test environment, then setting up your own DNS server and AD infrastructure. You will continue with more...

Matlab® for Engineers Explained
Matlab® for Engineers Explained
Based on the new 'guided-tour' concept that eliminates the start-up transient encountered in learning new programming languages, this beginner's introduction to MATLAB teaches a sufficient subset of the functionality and gives the reader practical experience on how to find more information. Recent developments in MATLAB to advance...
Advanced English Grammar: A Linguistic Approach
Advanced English Grammar: A Linguistic Approach

With more than 50 years of teaching experience between them, Ilse Depraetere and Chad Langford present a grammar pitched precisely at advanced learners of English who need to understand how the English language really works without getting lost in the complex specifics.

Now fully updated and revised throughout, the...

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Reinventing Liberalism: The Politics, Philosophy and Economics of Early Neoliberalism (1920-1947) (Springer Studies in the History of Economic Thought)
Reinventing Liberalism: The Politics, Philosophy and Economics of Early Neoliberalism (1920-1947) (Springer Studies in the History of Economic Thought)

In April 1947, a group of right-leaning intellectuals met in the Swiss Alps for a ten-day conference with the aim of establishing a permanent organization. Named “an army of fighters for freedom” by Friedrich Hayek, they would at times use “neoliberalism” as a description of the philosophy they were...

Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as...
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Learn Data Analysis with Python: Lessons in Coding
Learn Data Analysis with Python: Lessons in Coding
Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize...
Data Mining: Foundations and Practice (Studies in Computational Intelligence)
Data Mining: Foundations and Practice (Studies in Computational Intelligence)
The IEEE ICDM 2004 workshop on the Foundation of Data Mining and the IEEE ICDM 2005 workshop on the Foundation of Semantic Oriented Data and Web Mining focused on topics ranging from the foundations of data mining to new data mining paradigms. The workshops brought together both data mining researchers and practitioners to discuss these two...
Network-Based Distributed Planning Using Coevolutionary Algorithms (Intelligent Control and Intelligent Automation - Vol. 13)
Network-Based Distributed Planning Using Coevolutionary Algorithms (Intelligent Control and Intelligent Automation - Vol. 13)
In this book, efficient and scalable coevolutionary algorithms for distributed, network-based decision-making, which utilize objective functions are developed in a networked environment where internode communications are a primary factor in system performance.A theoretical foundation for this class of coevolutionary algorithms is introduced...
Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists
Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists

Are algorithms friend or foe?

The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we...

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