Learn IT - Books tags networks

Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Packt Publishing, 2018

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...

Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science)

Springer, 2005

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order...

Networking Fundamentals

John Wiley & Sons, 2019

A clear and concise resource on Windows networking, perfect for IT beginners

Did you know that nearly 85% of IT support roles require a good understanding of networking concepts? If you are looking to advance your IT career, you will need a foundational understanding of Windows networking. Network...

The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects

Apress, 2019

Become a Blockchain developer and design, build, publish, test, maintain and secure scalable decentralized Blockchain projects using Bitcoin, Ethereum, NEO, EOS and Hyperledger.

This book helps you understand Blockchain beyond development and crypto to better harness its power and capability. You will learn...

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

Apress, 2019

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...

Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python

Apress, 2019

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms...

Artificial Neural Networks with Java: Tools for Building Neural Network Applications

Apress, 2019

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural...

Learn Blockchain Programming with JavaScript: Build your very own Blockchain and decentralized network with JavaScript and Node.js

Packt Publishing, 2018

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

Super-Recursive Algorithms (Monographs in Computer Science)

Springer, 2004

This book introduces the new realm of superrecursive algorithms and the development of mathematical models for them. Although many still believe that only recursive algorithms exist and that only some of them are realizable, there are many situations in which people actually work with superrecursive algorithms....

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Packt Publishing, 2019

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...

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

Packt Publishing, 2018

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...

Probability and Algorithms

National Academy Press, 1992

Some of the hardest computational problems have been successfully attacked through the use of probabilistic algorithms, which have an element of randomness to them. Concepts from the field of probability are also increasingly useful in analyzing the performance of algorithms, broadening our understanding beyond that provided by the...

Result Page: 263 262 261 260 259 258 257 256 255 254