Real Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Real Learning write by By Way of the Family Press. This book was released on 2003. Real Learning available in PDF, EPUB and Kindle.
Real Learning, Real Work
Real Learning, Real Work - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Real Learning, Real Work write by Adria Steinberg. This book was released on 1998. Real Learning, Real Work available in PDF, EPUB and Kindle. First Published in 1998. Routledge is an imprint of Taylor & Francis, an informa company.
Teaching Digital Natives
Teaching Digital Natives - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Teaching Digital Natives write by Marc Prensky. This book was released on 2010-03-29. Teaching Digital Natives available in PDF, EPUB and Kindle. Students today are growing up in a digital world. These "digital natives" learn in new and different ways, so educators need new approaches to make learning both real and relevant for today's students. Marc Prensky, who first coined the terms "digital natives" and "digital immigrants," presents an intuitive yet highly innovative and field-tested partnership model that promotes 21st-century student learning through technology. Partnership pedagogy is a framework in which: - Digitally literate students specialize in content finding, analysis, and presentation via multiple media - Teachers specialize in guiding student learning, providing questions and context, designing instruction, and assessing quality - Administrators support, organize, and facilitate the process schoolwide - Technology becomes a tool that students use for learning essential skills and "getting things done" With numerous strategies, how-to's, partnering tips, and examples, Teaching Digital Natives is a visionary yet practical book for preparing students to live and work in today's globalized and digitalized world.
Learning for Real (Print EBook Bundle)
Learning for Real (Print EBook Bundle) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning for Real (Print EBook Bundle) write by Heidi Mills. This book was released on 2014-03-27. Learning for Real (Print EBook Bundle) available in PDF, EPUB and Kindle.
Real-World Machine Learning
Real-World Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Real-World Machine Learning write by Henrik Brink. This book was released on 2016-09-15. Real-World Machine Learning available in PDF, EPUB and Kindle. Summary Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning systems help you find valuable insights and patterns in data, which you'd never recognize with traditional methods. In the real world, ML techniques give you a way to identify trends, forecast behavior, and make fact-based recommendations. It's a hot and growing field, and up-to-speed ML developers are in demand. About the Book Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems. What's Inside Predicting future behavior Performance evaluation and optimization Analyzing sentiment and making recommendations About the Reader No prior machine learning experience assumed. Readers should know Python. About the Authors Henrik Brink, Joseph Richards and Mark Fetherolf are experienced data scientists engaged in the daily practice of machine learning. Table of Contents PART 1: THE MACHINE-LEARNING WORKFLOW What is machine learning? Real-world data Modeling and prediction Model evaluation and optimization Basic feature engineering PART 2: PRACTICAL APPLICATION Example: NYC taxi data Advanced feature engineering Advanced NLP example: movie review sentiment Scaling machine-learning workflows Example: digital display advertising
