Delivering Learning on the Net PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Delivering Learning on the Net PDF full book. Access full book title Delivering Learning on the Net by Martin Weller. Download full books in PDF and EPUB format.
Author: Martin Weller
Publisher: Routledge
ISBN: 1135726205
Category : Computers
Languages : en
Pages : 194
Get Book Here
Book Description
As online education becomes more familiar, so the reality of using it in teaching and learning has moved beyond the realm of the specialist. Pedagogy and best practice Delivering Learning on the Net explores the reality of online education today. Martin Weller chaired the groundbreaking Open University course You, Your computer and the Net, which is now the largest for-credit online course in Europe. Based on this and his experiences elsewhere, the book is a comprehensive resource grounded in practical reality as well as in research. Key issues covered include: *the Net and its relation to education; *developing and implementing online courses; *the key issues surrounding online education. Teachers, trainers, technologists, administrators and decision-makers working in higher and further education will all find much of value in this book.
Author: Martin Weller
Publisher: Routledge
ISBN: 1135726205
Category : Computers
Languages : en
Pages : 194
Get Book Here
Book Description
As online education becomes more familiar, so the reality of using it in teaching and learning has moved beyond the realm of the specialist. Pedagogy and best practice Delivering Learning on the Net explores the reality of online education today. Martin Weller chaired the groundbreaking Open University course You, Your computer and the Net, which is now the largest for-credit online course in Europe. Based on this and his experiences elsewhere, the book is a comprehensive resource grounded in practical reality as well as in research. Key issues covered include: *the Net and its relation to education; *developing and implementing online courses; *the key issues surrounding online education. Teachers, trainers, technologists, administrators and decision-makers working in higher and further education will all find much of value in this book.
Author: Sharmila Pixy Ferris
Publisher:
ISBN: 9781613503478
Category : Educational innovations
Languages : en
Pages : 0
Get Book Here
Book Description
Although a growing body of research demonstrates the need for education to adapt to the needs of the Net Generation, research also shows that traditional teaching methods continue to dominate the classroom. To stay effective, higher education must adapt to the needs of this unique generation of digital natives who grew up with computer technologies and social media. Teaching, Learning and the Net Generation: Concepts and Tools for Reaching Digital Learners provides pedagogical resources for understanding digital learners, and effectively teaching and learning with today s generation of digital natives. This book creates a much-needed resource that moves beyond traditional disciplinary and geographical boundaries, bridges theories and practice, and addresses emerging issues in technology and pedagogy.
Author: Christian Nagel
Publisher: John Wiley & Sons
ISBN: 111909660X
Category : Computers
Languages : en
Pages : 1536
Get Book Here
Book Description
A true professional's guide to C# 6 Professional C# 6 and .NET Core 1.0 provides complete coverage of the latest updates, features, and capabilities, giving you everything you need for C#. Get expert instruction on the latest changes to Visual Studio 2015, Windows Runtime, ADO.NET, ASP.NET, Windows Store Apps, Windows Workflow Foundation, and more, with clear explanations, no-nonsense pacing, and valuable expert insight. This incredibly useful guide serves as both tutorial and desk reference, providing a professional-level review of C# architecture and its application in a number of areas. You'll gain a solid background in managed code and .NET constructs within the context of the 2015 release, so you can get acclimated quickly and get back to work. The new updates can actively streamline your workflow, with major changes including reimagined C# refactoring support, a new .NET Web app stack, and the .NET compiler platform that makes C# and Visual Basic compilers available as APIs. This book walks you through the changes with a comprehensive C# review. Explore the new Visual Studio templates for ASP.NET Core 1.0, Web Forms, and MVC Learn about the networking switch to HttpClient and ASP.NET Web API's replacement of WCF Data Services Work with the latest updates to the event log, Windows Runtime 2.0, and Windows 8.1 deployment and localization Dig deep into the new .NET 5.0 GC behaviors and the Migrations addition to ADO.NET Microsoft has stepped up both the cadence and magnitude of their software releases. Professional C# 6 and .NET Core 1.0 shows you everything you need to know about working with C# in a real-world context.
Author: Martin Weller
Publisher: Routledge
ISBN: 1135726191
Category : Education
Languages : en
Pages : 195
Get Book Here
Book Description
As online education becomes more familiar, so the reality of using it in teaching and learning has moved beyond the realm of the specialist. Pedagogy and best practice Delivering Learning on the Net explores the reality of online education today. Martin Weller chaired the groundbreaking Open University course You, Your computer and the Net, which is now the largest for-credit online course in Europe. Based on this and his experiences elsewhere, the book is a comprehensive resource grounded in practical reality as well as in research. Key issues covered include: *the Net and its relation to education; *developing and implementing online courses; *the key issues surrounding online education. Teachers, trainers, technologists, administrators and decision-makers working in higher and further education will all find much of value in this book.
Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262352702
Category : Computers
Languages : en
Pages : 549
Get Book Here
Book Description
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Author: Diana Oblinger
Publisher: Educause
ISBN: 9780967285320
Category : Computers
Languages : en
Pages :
Get Book Here
Book Description
This e-book offers an insightful look into the way today's students think about and use technology in their academic and social lives. It will help institutional leaders help their students to become more successful and satisfied.
Author: Jamie Dixon
Publisher: Packt Publishing Ltd
ISBN: 1785881191
Category : Computers
Languages : en
Pages : 358
Get Book Here
Book Description
Master the art of machine learning with .NET and gain insight into real-world applications About This Book Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0 Set up your business application to start using machine learning techniques Familiarize the user with some of the more common .NET libraries for machine learning Implement several common machine learning techniques Evaluate, optimize and adjust machine learning models Who This Book Is For This book is targeted at .Net developers who want to build complex machine learning systems. Some basic understanding of data science is required. What You Will Learn Write your own machine learning applications and experiments using the latest .NET framework, including .NET Core 1.0 Set up your business application to start using machine learning. Accurately predict the future using regressions. Discover hidden patterns using decision trees. Acquire, prepare, and combine datasets to drive insights. Optimize business throughput using Bayes Classifier. Discover (more) hidden patterns using KNN and Naive Bayes. Discover (even more) hidden patterns using K-Means and PCA. Use Neural Networks to improve business decision making while using the latest ASP.NET technologies. Explore “Big Data”, distributed computing, and how to deploy machine learning models to IoT devices – making machines self-learning and adapting Along the way, learn about Open Data, Bing maps, and MBrace In Detail .Net is one of the widely used platforms for developing applications. With the meteoric rise of Machine learning, developers are now keen on finding out how can they make their .Net applications smarter. Also, .NET developers are interested into moving into the world of devices and how to apply machine learning techniques to, well, machines. This book is packed with real-world examples to easily use machine learning techniques in your business applications. You will begin with introduction to F# and prepare yourselves for machine learning using .NET framework. You will be writing a simple linear regression model using an example which predicts sales of a product. Forming a base with the regression model, you will start using machine learning libraries available in .NET framework such as Math.NET, Numl.NET and Accord.NET with the help of a sample application. You will then move on to writing multiple linear regressions and logistic regressions. You will learn what is open data and the awesomeness of type providers. Next, you are going to address some of the issues that we have been glossing over so far and take a deep dive into obtaining, cleaning, and organizing our data. You will compare the utility of building a KNN and Naive Bayes model to achieve best possible results. Implementation of Kmeans and PCA using Accord.NET and Numl.NET libraries is covered with the help of an example application. We will then look at many of issues confronting creating real-world machine learning models like overfitting and how to combat them using confusion matrixes, scaling, normalization, and feature selection. You will now enter into the world of Neural Networks and move your line of business application to a hybrid scientific application. After you have covered all the above machine learning models, you will see how to deal with very large datasets using MBrace and how to deploy machine learning models to Internet of Thing (IoT) devices so that the machine can learn and adapt on the fly Style and approach This book will guide you in learning everything about how to tackle the flood of data being encountered these days in your .NET applications with the help of popular machine learning libraries offered by the .NET framework.
Author: Jarred Capellman
Publisher: Packt Publishing Ltd
ISBN: 1789804299
Category : Computers
Languages : en
Pages : 287
Get Book Here
Book Description
Create, train, and evaluate various machine learning models such as regression, classification, and clustering using ML.NET, Entity Framework, and ASP.NET Core Key FeaturesGet well-versed with the ML.NET framework and its components and APIs using practical examplesLearn how to build, train, and evaluate popular machine learning algorithms with ML.NET offeringsExtend your existing machine learning models by integrating with TensorFlow and other librariesBook Description Machine learning (ML) is widely used in many industries such as science, healthcare, and research and its popularity is only growing. In March 2018, Microsoft introduced ML.NET to help .NET enthusiasts in working with ML. With this book, you’ll explore how to build ML.NET applications with the various ML models available using C# code. The book starts by giving you an overview of ML and the types of ML algorithms used, along with covering what ML.NET is and why you need it to build ML apps. You’ll then explore the ML.NET framework, its components, and APIs. The book will serve as a practical guide to helping you build smart apps using the ML.NET library. You’ll gradually become well versed in how to implement ML algorithms such as regression, classification, and clustering with real-world examples and datasets. Each chapter will cover the practical implementation, showing you how to implement ML within .NET applications. You’ll also learn to integrate TensorFlow in ML.NET applications. Later you’ll discover how to store the regression model housing price prediction result to the database and display the real-time predicted results from the database on your web application using ASP.NET Core Blazor and SignalR. By the end of this book, you’ll have learned how to confidently perform basic to advanced-level machine learning tasks in ML.NET. What you will learnUnderstand the framework, components, and APIs of ML.NET using C#Develop regression models using ML.NET for employee attrition and file classificationEvaluate classification models for sentiment prediction of restaurant reviewsWork with clustering models for file type classificationsUse anomaly detection to find anomalies in both network traffic and login historyWork with ASP.NET Core Blazor to create an ML.NET enabled web applicationIntegrate pre-trained TensorFlow and ONNX models in a WPF ML.NET application for image classification and object detectionWho this book is for If you are a .NET developer who wants to implement machine learning models using ML.NET, then this book is for you. This book will also be beneficial for data scientists and machine learning developers who are looking for effective tools to implement various machine learning algorithms. A basic understanding of C# or .NET is mandatory to grasp the concepts covered in this book effectively.
Author: Antonio Esposito
Publisher: Packt Publishing Ltd
ISBN: 1785282638
Category : Computers
Languages : en
Pages : 305
Get Book Here
Book Description
This book will help you understand what "programming for performance" means, and use effective coding patterns and techniques to optimize your .NET applications. You will begin by understanding what "high performance coding" means, and the different performance concerns. You will see how CLR works and get an understanding of concepts such as memory management, garbage collection, and thread life cycles. You will proceed to learn about the theoretical and practical concepts of PLINQ programming. You will also see what Big Data is, and how to architect a Big Data solution to manipulate large datasets. Finally, you will learn how to launch and analyze a profile session and execute tests against a code block or application for performance analysis. By the end of this book, you will have a complete understanding of efficient programming using high-performance techniques, and will able to write highly optimized applications.
Author: James Chambers
Publisher: Microsoft Press
ISBN: 1509304096
Category : Computers
Languages : en
Pages : 1008
Get Book Here
Book Description
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Through four complete sprints, this book takes you through every step needed to build brand new cross-platform web apps with ASP.NET Core, and make them available on the Internet. You won't just master Microsoft's revolutionary open source ASP.NET Core technology: you'll learn how to integrate the immense power of MVC, Docker, Azure Web Apps, Visual Studio and Visual Studio Code, C#, JavaScript, TypeScript, and Entity Framework. Working through the authors' carefully designed sprints, you'll start with a blank canvas, move through software architecture and design, adjusting to user feedback, recovering from mistakes, builds, testing, deployment, maintenance, refactoring, and more. Along the way, you'll learn techniques for delivering state-of-the-art software to users more rapidly and repeatably than ever before.
