Make: AVR Programming: Learning to Write Software for Hardware (Repost)

Make: AVR Programming: Learning to Write Software for Hardware By Elliot Williams
2014 | 472 Pages | ISBN: 1449355781 | EPUB + PDF | 10 MB + 49 MB

Atmel’s AVR microcontrollers are the chips that power Arduino, and are the go-to chip for many hobbyist and hardware hacking projects. In this book you’ll set aside the layers of abstraction provided by the Arduino environment and learn how to program AVR microcontrollers directly. In doing so, you’ll get closer to the chip and you’ll be able to squeeze more power and features out of it.

Each chapter of this book is centered around projects that incorporate that particular microcontroller topic. Each project includes schematics, code, and illustrations of a working project.

Learning Analytics in R with SNA, LSA, and MPIA

Learning Analytics in R with SNA, LSA, and MPIA
Springer | Computer Science | May 6 2016 | ISBN-10: 3319287893 | 275 pages | pdf | 9.45 mb

Authors: Wild, Fridolin

Written in a tutorial-style
Includes reproducible examples and demos
Provides aesthetic visual analytics
Extends the analysis instruments significantly beyond doc-term mapping
Provides a technological framework and methodology for study and research

This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning landscape from the digital traces left by a learning community in the co-construction of knowledge.

The hybrid algorithm is implemented in the statistical programming language and environment R, introducing packages which capture – through matrix algebra – elements of learners’ work with more knowledgeable others and resourceful content artefacts. The book provides comprehensive package-by-package application examples, and code samples that guide the reader through the MPIA model to show how the MPIA landscape can be constructed and the learner’s journey mapped and analysed. This building block application will allow the reader to progress to using and building analytics to guide students and support decision-making in learning.

Number of Illustrations and Tables

47 b/w illustrations, 59 illustrations in colour

Topics

Data Mining and Knowledge Discovery

Computational Linguistics

Mathematics in the Humanities and Social Sciences

Educational Technology

Philosophy of Language

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Machine Learning with Spark (Repost)

Machine Learning with Spark By Nick Pentreath
2015 | 338 Pages | ISBN: 1783288515 | PDF | 5 MB

Key Features
Follow real-world examples to learn how to develop your own machine learning systems with Spark
A practical tutorial with real-world use cases allowing you to develop your own machine learning systems with Spark
Combine various techniques and models into an intelligent machine learning system
Explore and use Spark’s powerful range of features to load, analyze, clean, and your data

Learning Autodesk AutoCAD 2017 Training Video

Learning Autodesk AutoCAD 2017 Training Video
SKU: 02359 | .MP4, AVC, 1000 kbps, 1280×720 | English, AAC, 64 kbps, 2 Ch | 10.5 hours | 2.81 GB
Instructor: Brian Benton

In this Learning AutoCAD 2017 training course, expert author Brian Benton will teach you everything you need to know to be able to create 2D drawings using the latest version of AutoCAD. This course is designed for the absolute beginner, meaning no previous experience with AutoCAD is required.

You will start by learning about the new features in AutoCAD 2017, then jump into learning the basic operations of AutoCAD. From there, Brian will teach you about the drawing and drafting tools and the editing tools. This video tutorial also covers utilities, precision tools, and how to use layers in AutoCAD. You will also learn about annotations, blocks, and model and paper space. Finally, you will learn about plotting and how to publish and export your file.

Once you have completed this computer based training course, you will have learned everything you need to know to create your own 2D drawings in AutoCAD. Working files are included, allowing you to follow along with the author throughout the lessons.

O"Reilly Learning Paths - Data Visualization Video Training [Repost]

O’Reilly Learning Paths – Data Visualization Video Training
.MP4, AVC, 1000 kbps, 1280×720 | English, AAC, 128 kbps, 2 Ch | 14.7 hours | 3.75 GB
Instructors: Scott Murray, Rafael Hernandez, Michael Freeman, Jeff Heer

Successful data visualizations allow you to impart meaning and emphasis to your data points. This Learning Path will teach you how to display trends, patterns, and outliers while you discover the power of letting your data to speak. Once you’ve finished, you’ll be able to efficiently communicate volumes of data with ease.

An Introduction to d3.js: From Scattered to Scatterplot

This segment of your Learning Path will have you transforming data into visual images in no time, starting from scratch and building an interactive scatterplot by the end of the course. Learn to use d3.js, the web’s most powerful library for data visualization, to load data and translate values into SVG elements.

Learning to Visualize Data with D3.js

Add to your D3 skills as you build data visualizations with the D3 JavaScript library. You’ll start by learning how to bind data from JavaScript arrays to elements, scale data, and style simple data visualizations with CSS. From there, you’ll learn how to add interactivity to your data visualization to make it even more powerful.

Using Storytelling to Effectively Communicate Data

Learn how to use stories to introduce complex graphics in ways that entice and engage your audience. You’ll discover how storytelling can ensure clarity, humanize content, and allow you to present complex information using data visualization.

Effective Data Visualization

In this course, you’ll acquire best practices for designing interactive visualizations, performing exploratory data analysis, and examining multidimensional data. You’ll start with an exploration of design principles drawn from graphic design, visual art, perceptual psychology, and cognitive science. You’ll also learn techniques for scaling visualizations to extremely large data sets.

Intermediate D3.js

Expand your D3.js expertise as you learn how to work with charts, data layouts, and maps through several code examples. You’ll see how easily you can create beautiful, interactive, browser-based data visualizations with the D3 JavaScript library. Discover the power of D3.js for interactive maps, charts, and more.

See also:

O’Reilly Learning Paths – Data Science with R Video Training
O’Reilly Learning Paths – Beginning Java Video Training
O’Reilly Learning Paths – Beginning JavaScript Video Training
O’Reilly Learning Paths – CSS Fundamentals Video Training
O’Reilly Learning Paths – Beginning UX Design Video Training
O’Reilly Learning Paths – C# Video Training

Learning MS Dynamics AX 2012 Programming (Repost)

Learning MS Dynamics AX 2012 Programming By Mohammed Rasheed, Erlend Dalen
2014 | 370 Pages | ISBN: 1782171266 | EPUB + PDF | 16 MB

Develop and customize your very own Microsoft Dynamics AX solution quickly and efficiently

If you are a .NET or Java developer who wants to develop and customize Dynamics AX 2012 R3, this book is for you. Some experience with object-oriented development technologies is expected, but no experience in development with AX is required.

This tutorial has been carefully structured to guide you through the basic features of AX development and get you started as quickly as possible. With this book, you will soon be able to develop and maintain comprehensive management solutions to enhance your Dynamics AX 2012 application’s performance. Starting with a tour of the development environment, you’ll gain a deep understanding of Dynamics AX tools and architecture, before getting to grips with X++ for deeper customization. You will also learn how to search, manipulate, and integrate data.
The practical examples in this book take you through sample AX development projects and help you learn to create forms, reports, menu items, menus, and navigation pages. The book also helps you work with MorphX. By the end of this book, you will have a better understanding of the inner workings of Microsoft Dynamics AX—making your development simpler and faster, and your applications fast, reliable, and robust.

Jorg Walter - Rapid Learning in Robotics

Jorg Walter – Rapid Learning in Robotics
1996 | ISBN: 3895887285 | English | 169 pages | PDF | 1.7 MB