“…This is necessary due to increased attack frequency, diverse attack sophistication, and the rapid nature of attack velocity—all blurring the boundaries between the network and perimeter. …”

“…It provides you with a new framework for assessing the maturity of open source solutions, walks you through every step of the evaluation process, and provides vital insights into the risks and benefits of making the open source decision.” — David A. …”

“…Being a prolific contributor to the Internet community of developers, Mahesh Chand is offering what seems to be a natural extension of what he does best—sharing his programming skills with other talented programmers. …”

“…The QoS requirements of voice, interactive and streaming video, and multiple classes of data applications are presented, along with an overview of the nature and effects of various types of DoS and worm attacks. …”

“…Now that Model Driven Architecture is raising software design to ever-higher levels of abstraction, it is only natural that pattern concepts should find application in advanced modeling techniques. …”

“…Frailey, Principal Fellow, Raytheon Company “Too many organizations develop a checklist mentality targeted at achieving the next process maturity level or passing an audit...Neil and Mary remind us to focus on pragmatic mechanisms for achieving superior business results...” …”

“…You’ll learn how EDAs work, what they can do today, and what they might be able to do as they mature. You’ll learn how to determine whether an EDA approach makes sense in your environment and how to overcome the difficult interoperability and integration issues associated with successful deployment. …”

“…This book is an excellent resource for those seeking a comprehensive reference on mature and emerging security tactics and is also a great study guide for the CCIE Security exam. …”

“…If you know Eclipse then learning how to implement a DSL using Xtext is a natural progression. And this guide makes it easy to get started through a step-by-step approach accompanied with simple examples. …”

“…Drawing on their unsurpassed experience, they present new tips, samples, and best practices reflecting the platform's growing maturity. Writing for both XPages newcomers and experts, they cover the entire project lifecycle, including problem debugging, performance optimization, and application scalability. …”

“…Meanwhile, Microsoft’s .NET has grown and matured into a platform of unparalleled power. IronRuby brings them together, enabling developers to write elegant, efficient Ruby code that seamlessly integrates with .NET objects and leverages .NET’s full capabilities. …”

“…Further processes, such as dendritic spine formation and growth, establishment of synaptic contacts or synaptic plasticity in mature neurons also depend on cytoskeletal dynamics. …”

“…In the last decade, different methods have also been developed to measure the spatial distribution of microorganisms at fine resolution in thin sections, as well as to map the composition of organic soil constituents or the nature of nitrogenous compounds at micrometric or even nanometric scales. …”

“…El patrimoni –en les seves dimensions cultural tangible i intangible, natural i mixta– és un sector fonamental per al desenvolupament econòmic, cultural, educatiu, social i sanitari de qualsevol territori. …”
Accés lliure

“…Shorter economic cycles, more-frequent natural disasters, higher costs in low-cost countries, more-restricted access to working capital, and greater focus on sustainability have made effective supply chain management much more challenging--and much more critical to the bottom line. …”

Tabla de Contenidos: “…Fundamental of robotics -- Introduction to Computer Vision -- Fundamentals of natural language processing -- Neural networks with NLP -- Convolutional neural networks for Computer Vision -- Robot operating system (ROS) -- Build a text-bases dialogue system (Chatbot) -- Object recognition to guide a robot using CNNs -- Computer Vision for robotics…”

“…You'll then discover how to emulate the vision and hearing capabilities of your agent for natural and humanlike AI behavior, and later improve the agents with the help of graphs. …”

“…What You Will Learn Understand the key concepts of data science Explore the data science ecosystem available in Java Work with the Java APIs and techniques used to perform efficient data analysis Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images, and create your own search Learn how to build deep neural networks with DeepLearning4j Build data science applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. …”

Tabla de Contenidos: “…Data download and exploration -- Preparing the data for our models -- The binary classification model -- The regression model -- Improving the binary classification model -- The unreasonable effectiveness of data -- Summary -- Chapter 5: Image Classification Using Convolutional Neural Networks -- CNNs -- Convolutional layers -- Pooling layers -- Dropout -- Flatten layers, dense layers, and softmax -- Image classification using the MXNet library -- Base model (no convolutional layers) -- LeNet -- Classification using the fashion MNIST dataset -- References/further reading -- Summary -- Chapter 6: Tuning and Optimizing Models -- Evaluation metrics and evaluating performance -- Types of evaluation metric -- Evaluating performance -- Data preparation -- Different data distributions -- Data partition between training, test, and validation sets -- Standardization -- Data leakage -- Data augmentation -- Using data augmentation to increase the training data -- Test time augmentation -- Using data augmentation in deep learning libraries -- Tuning hyperparameters -- Grid search -- Random search -- Use case-using LIME for interpretability -- Model interpretability with LIME -- Summary -- Chapter 7: Natural Language Processing Using Deep Learning -- Document classification -- The Reuters dataset -- Traditional text classification -- Deep learning text classification -- Word vectors -- Comparing traditional text classification and deep learning -- Advanced deep learning text classification -- 1D convolutional neural network model -- Recurrent neural network model -- Long short term memory model -- Gated Recurrent Units model -- Bidirectional LSTM model -- Stacked bidirectional model -- Bidirectional with 1D convolutional neural network model -- Comparing the deep learning NLP architectures -- Summary -- Chapter 8: Deep Learning Models Using TensorFlow in R.…”

“…Created by some of the original designers of C and Unix, Go expands the systems programmers toolkit and adds a mature, clear programming language. Traditional system applications become easier to write since pointers are not relevant and garbage collection has taken away the most problematic area for low-level systems code: memory management. …”