Subscribe: Safari Books Online - Enterprise
http://search.safaribooksonline.com/rss/
Added By: Feedage Forager Feedage Grade B rated
Language: English
Tags:
applications  aws  book  code  data  elastic stack  elasticsearch  learn  learning path  learning  opencv  path  python  research 
Rate this Feed
Rate this feedRate this feedRate this feedRate this feedRate this feed
Rate this feed 1 starRate this feed 2 starRate this feed 3 starRate this feed 4 starRate this feed 5 star

Comments (0)

Feed Details and Statistics Feed Statistics
Preview: Safari Books Online - Enterprise

Safari Books Online - Enterprise



Safari Books Online - Enterprise RSS Feed



 



Learning Path: OpenCV: Real-Time Computer Vision with OpenCV

2017/05/29May 10, 2017

(image)

Practical OpenCV projects In Detail Are you looking forward to developing interesting computer vision applications? If yes, then this Learning Path is for you. Computer vision and machine learning concepts are frequently used in practical projects based on computer vision. Whether you are completely new to the concept of computer vision or have a basic understanding of it, this Learning Path will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. OpenCV is a cross-platform, open source library that is used for face recognition, object tracking, and image and video processing. Learning the basic concepts of computer vision algorithms, models, and OpenCV’s API will help you develop all sorts of real-world applications. Starting from the installation of OpenCV 3 on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes. You’ll explore the commonly-used computer vision techniques to build your own OpenCV projects from scratch. Next, we’ll teach you how to work with the various OpenCV modules for statistical modeling and machine learning. You’ll start by preparing your data for analysis, learn about supervised and unsupervised learning, and see how to use them. Finally, you’ll learn to implement efficient models using the popular machine learning techniques such as classification, regression, decision trees, K-nearest neighbors, boosting, and neural networks with the aid of C++ and OpenCV. By the end of this Learning Path, you will be familiar with the basics of OpenCV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition. Prerequisites : Knowledge of C++ and Python is required. Some understanding of statistical concepts would be helpful, but is not mandatory. Resources : Code downloads and errata: OpenCV 3 by Example Machine Learning with Open CV and Python PATH PRODUCTS This path navigates across the following products (in sequential order): OpenCV 3 by Example (3h 57m) Machine Learning with Open CV and Python (1h 35m)




Learning Path: AWS: AWS Environments with AWS Lambda

2017/05/29May 9, 2017

(image)

Create resilient distributed solutions and serverless applications with AWS In Detail Amazon Web Services (AWS) provides trusted, cloud-based solutions to help you meet your business needs. Running your solutions in the AWS Cloud can help you get your applications up and running faster while providing the security to meet your compliance requirements. Amazon Lambda is the part of AWS that lets you run your code without provisioning or managing servers. Amazon Lambda is a compute service that enables you to deploy applications and backend services that operate with zero upfront cost and require no system administration. This learning path begins by showing you how to design robust large infrastructures using AWS. We will tackle the key capabilities to architect and host applications, websites, and services on AWS. We will see the available options for virtual instances and demonstrate launching and connecting to them. We will design and deploy networking and hosting solutions for large deployments. Next, we will show you how to program AWS Lambda with Node, Java, Python, and C#. Finally, you will learn how to deploy and test Lambda functions, and how to set up and use the serverless framework. Prerequisites : No AWS experience is necessary Resources : Code downloads and errata: Designing AWS Environments Learning AWS Lambda PATH PRODUCTS This path navigates across the following products (in sequential order): Designing AWS Environments (1h 51m) Learning AWS Lambda (2h 41m)




Learning Path: SCOM: Managing Infrastructures with Systems Center 2016 Operations Manager

2017/05/29May 11, 2017

(image)

Get well-versed with infrastructure monitoring and advanced SCOM functionalities In Detail As organizations become more and more dependent upon a powerful IT infrastructure, there is increased pressure on administrators to be able to monitor and troubleshoot quickly and effectively. Systems Center Operations Manager (SCOM) makes this possible, giving administrators a simple way to manage the performance of their infrastructure and allowing them to focus on the steps to optimize and improve it. This Learning Path will start by enlightening you on the core fundamentals that will help you leverage your IT assets in order to derive high benefits. We will demonstrate the configuration and deployment aspect of SCOM and its various services based on your business requirements. We then focus on explaining the core concepts of SCOM such as Management Servers and Packs, Services, and Agents along with teaching you the latest features of SCOM 2016. This Learning Path then covers advanced monitors and data collection,where you’ll learn to gather data and put it on dashboards. You’ll then learn to integrate the Operational Management Suite to delegate access to websites. You’ll finish by learning how to Integrate PowerShell with SCOM. By the end of the course, you will be a master in SCOM 2016. Prerequisites : No prior knowledge of SCOM 2016 is required Resources : Code downloads and errata: Getting Started with System Center 2016 Operations Manager Advanced System Center 2016 Operations Manager PATH PRODUCTS This path navigates across the following products (in sequential order): Getting Started with System Center 2016 Operations Manager (6h 27m) Advanced System Center 2016 Operations Manager (3h 49m)




Learning Path: The Road to Elasticsearch

2017/05/29May 11, 2017

(image)

Learn all about Elasticsearch and the new Elastic stack In Detail This Learning Path seeks to present to you the new Elastic stack and its flagship software, Elasticsearch. Embark on a journey like never before with Elasticsearch 5.0. With its lightning-fast speed and open-source nature, Elasticsearch has risen exponentially in the past few years to become the preferred intra-web search engine of choice, with clients ranging from Cisco to NASA. If you're new to Elasticsearch, this Learning Path will teach you everything you need to know about it and shall serve as a comprehensive introduction to the Elastic stack. If you're experienced with Elasticsearch and still fashion yourself as an 'ELK stack' developer, this Learning Path will bring you up to speed with Elasticsearch 5.0 and the new Elastic stack, which includes not just Logstash and Kibana, but a few other important tools and plugins that you need to know as well. We would begin by getting ourselves acquainted with the Elastic stack. Then, we will explore Elasticsearch 5.0 in greater depth. By the end of this Learning Path, you will have developed a strong foundation in Elasticsearch and the Elastic stack, and completely understand how it works, such that you can effortlessly leverage its power when building quality, real-time, modern search applications. Prerequisites : Basic knowledge of JavaScript, HTTP methods, and HTML. Resources : Code downloads and errata: Getting Started with Elastic Stack Learning Elasticsearch 5.0 PATH PRODUCTS This path navigates across the following products (in sequential order): Getting Started with Elastic Stack (2h 55m) Learning Elasticsearch 5.0 (2h 10m)




R Data Visualization - Basic Plots, Maps, and Pie Charts

2017/05/29May 22, 2017

(image)

Master the visualization capabilities of R to build interactive graphs, plots, and Pie charts. About This Video Generate various plots in R using the basic R plotting techniques Utilize R packages to add context and meaning to your data Design interactive visualizations and integrate them on your website or blog In Detail R is an open source language for data analysis and graphics. It is platform-independent and allows users to load various packages as well as develop their own packages to interpret data better.This video is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization with R. We start - off with the basics of R plots and an introduction to heat maps and customizing them. After this, we gradually take you through creating interactive maps using the googleVis package. Finally, we generate choropleth maps and contouring maps, bubble plots, and pie charts.




AWS Certified Developer - Associate - Prep Course

2017/05/29May 24, 2017

(image)

Get ready for the AWS Certified Developer: Associate exam with this fast-paced course About This Video Recap EC2, IAM, and S3 along with exclusive exam tips and quizzes Understand and revisit the key knowledge required for DynamoDB, Cloudformation, and other AWS application services Understand what to expect when going into the exam, and use the final exam tips we supply In Detail This course is a designed to prepare you for the AWS Certified Developer: Associate Exam, and contains a summary of all of the content required, along with tips, hints and more sample questions.




Learning Salesforce Visual Workflow and Process Builder - Second Edition

2017/05/29May 18, 2017

(image)

Click your way to automating various business processes using Salesforce Visual Workflow About This Book Develop an application using Point and Click with the help of Flow Get to grips with various ways to launch a Flow Capture data from an external user without using the Visualforce page Save user input into the database, and learn how to query and manipulate the data Discover various ways to debug and deploy Flow and Process Builder Understand the concepts of Subflow and Login Flow Handle complex business processes using Process builder and keep them clean Use existing or new Flows to work with Salesforce Lightning Experience. Who This Book Is For This book is intended for those who want to use Flows to automate their business requirements by clicking, not coding. No previous experience in computer coding or programming is required What You Will Learn Develop an application using point and click with the help of Flow Get to grips with various ways to launch a Flow Capture data from an external user without using the Visualforce page Save user input into the database, and learn how to query and manipulate the data Discover various ways to debug and deploy Flow and Process Builder Understand the concepts of Subflow and Login Flow Handle complex business processes using Process builder and keep them clean Use existing or new Flows to work with Salesforce Lightning Experience. In Detail Salesforce Management System is an information system used in CRM to automate the business processes like sales and marketing. To implement this, Force.com developed a powerful tool called Visual Workflow to automate business processes by creating applications also called Flows. Learning Salesforce Visual Workflow, Second Edition is a practical guide on Flows that will enable you to develop custom applications in Salesforce with minimized code usage. The book starts with an introduction to Visual Workflows that teaches all the building blocks of creating Flows and use it efficiently. You will learn how to easily automate business processes and tackle complex business scenarios using Flows. The book explains the working of the Process Builder so you can create reusable processes. The book also covers how you can integrate existing or newly created Flows with the Salesforce Lightening Experience. By the end of the book, you will get a clear understanding on how to use Flows and Process Builder in your organization to optimize code usage. Style and approach Step by step approch to use Process Builder to solve complex business requirements with the help of Flow Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com . If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the code file.




Python High Performance - Second Edition

2017/05/29May 24, 2017

(image)

Learn how to use Python to create efficient applications About This Book Identify the bottlenecks in your applications and solve them using the best profiling techniques Write efficient numerical code in NumPy, Cython, and Pandas Adapt your programs to run on multiple processors and machines with parallel programming Who This Book Is For The book is aimed at Python developers who want to improve the performance of their application. Basic knowledge of Python is expected What You Will Learn Write efficient numerical code with the NumPy and Pandas libraries Use Cython and Numba to achieve native performance Find bottlenecks in your Python code using profilers Write asynchronous code using Asyncio and RxPy Use Tensorflow and Theano for automatic parallelism in Python Set up and run distributed algorithms on a cluster using Dask and PySpark In Detail Python is a versatile language that has found applications in many industries. The clean syntax, rich standard library, and vast selection of third-party libraries make Python a wildly popular language. Python High Performance is a practical guide that shows how to leverage the power of both native and third-party Python libraries to build robust applications. The book explains how to use various profilers to find performance bottlenecks and apply the correct algorithm to fix them. The reader will learn how to effectively use NumPy and Cython to speed up numerical code. The book explains concepts of concurrent programming and how to implement robust and responsive applications using Reactive programming. Readers will learn how to write code for parallel architectures using Tensorflow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. By the end of the book, readers will have learned to achieve performance and scale from their Python applications. Style and approach A step-by-step practical guide filled with real-world use cases and examples Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com . If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the code file.




International Journal of Applied Metaheuristic Computing (IJAMC) Volume 8, Issue 3

2017/05/29July 1, 2017

(image)

The International Journal of Applied Metaheuristic Computing (IJAMC) is a rigorous refereed journal that publishes high quality, innovative research on the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing. Providing researchers, practitioners, and academicians with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization, this journal contains useful articles for those seeking to learn, analyze, improve, and apply technologies within metaheuristic computing. This issue contains the following articles: Modified Sub-Population Based Heat Transfer Search Algorithm for Structural Optimization A Meta-Heuristic Model for Data Classification Using Target Optimization Machine Learning for Texture Segmentation and Classification of Comic Image in SVG Compression A Hybrid Particle Swarm Optimization Method for Traveling Salesman Problem




International Journal of Applied Evolutionary Computation (IJAEC) Volume 8, Issue 2

2017/05/29April 1, 2017

(image)

The International Journal of Applied Evolutionary Computation (IJAEC) covers state-of-the-art interdisciplinary research on emerging areas and of intelligent computation (IC). By providing an academic and scientific forum for exchanging high quality results on innovative topics, trends and research in the field of IC, this journal expands the fields and the depths of its most principal and critical concepts. IJAEC extends existing research findings (theoretical innovations and modeling applications) to provide the highest quality original concepts, hybrid applications, innovative methodologies, and the development trends studies for all audiences. IJAEC publishes three categories of papers: research papers, research notes, and research review. Research papers have significant original research findings. The research must be complete and contribute substantially to knowledge in the field. Research notes comprise research that is complete but not as comprehensive as to meet the criteria of a full research paper. Research reviews are novel, insightful, and carefully crafted articles that conceptualize research areas and synthesize prior research. Research review articles must provide new insights that advance our understanding of the research areas and help in identifying and developing future research directions. This issue contains the following articles: An Improved Multi-Objective Particle Swarm Optimization Algorithm Based on Adaptive Local Search On the Effectiveness of Hybrid Canopy with Hoeffding Adaptive Naive Bayes Trees: Distributed Data Mining for Big Data Analytics Viability Analysis of TwoRayGround and Nakagami Model for Vehicular Ad-Hoc Networks An Incorporation of the Fuzzy Greedy Search Heuristic With Evolutionary Approaches for Combinatorial Optimization in Operations Management Control Dynamics and Simulation of Inclined Cart and Pendulum System