Download or read book Professional Learning Journal Teacher Professional Development Notebook and Logbook for Training Staff Meetings Parent Communications Profession written by Brindie Books and published by Independently Published. This book was released on 2018-09 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: SUCCESS IS NO ACCIDENT! Teachers are learners for life and deserve a beautiful place to keep a record of their professional growth and leadership development. Keep track of your professional learning with this inspirational glossy soft cover log book. PERFECT FOR TRACKING LEARNING

Download or read book High Flyers written by Morgan W. McCall and published by Harvard Business Press. This book was released on 1998 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a strategy for grooming executives for a company's top positions, emphasizing the importance of learning from experience and being open to continuous learning.

Download or read book Mono A Developer s Notebook written by Edd Wilder-James and published by "O'Reilly Media, Inc.". This book was released on 2004-07-20 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Mono Project is the much talked-about open source initiative to create a Unix implementation of Microsoft's .NET Development Framework. Its purpose is to allow Unix developers to build and deploy cross-platform .NET applications. The project has also sparked interest in developing components, libraries and frameworks with C#, the programming language of .NET.The controversy? Some say Mono will become the preferred platform for Linux development, empowering Linux/Unix developers. Others say it will allow Microsoft to embrace, extend, and extinguish Linux. The controversy rages on, but--like many developers--maybe you've had enough talk and want to see what Mono is really all about.There's one way to find out: roll up your sleeves, get to work, and see what you Mono can do. How do you start? You can research Mono at length. You can play around with it, hoping to figure things out for yourself. Or, you can get straight to work with Mono: A Developer's Notebook--a hands-on guide and your trusty lab partner as you explore Mono 1.0.Light on theory and long on practical application, Mono: A Developer's Notebook bypasses the talk and theory, and jumps right into Mono 1.0. Diving quickly into a rapid tour of Mono, you'll work through nearly fifty mini-projects that will introduce you to the most important and compelling aspects of the 1.0 release. Using the task-oriented format of this new series, you'll learn how to acquire, install, and run Mono on Linux, Windows, or Mac OS X. You'll work with the various Mono components: Gtk#, the Common Language Runtime, the class libraries (both .NET and Mono-provided class libraries), IKVM and the Mono C# compiler. No other resource will take you so deeply into Mono so quickly or show you as effectively what Mono is capable of.The new Developer's Notebooks series from O'Reilly covers important new tools for software developers. Emphasizing example over explanation and practice over theory, they focus on learning by doing--you'll get the goods straight from the masters, in an informal and code-intensive style that suits developers. If you've been curious about Mono, but haven't known where to start, this no-fluff, lab-style guide is the solution.

Download or read book Developing Kaggle Notebooks written by Gabriel Preda and published by Packt Publishing Ltd. This book was released on 2023-12-27 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printed in Color Develop an array of effective strategies and blueprints to approach any new data analysis on the Kaggle platform and create Notebooks with substance, style and impact Leverage the power of Generative AI with Kaggle Models Purchase of the print or Kindle book includes a free PDF eBook Key Features Master the basics of data ingestion, cleaning, exploration, and prepare to build baseline models Work robustly with any type, modality, and size of data, be it tabular, text, image, video, or sound Improve the style and readability of your Notebooks, making them more impactful and compelling Book DescriptionDeveloping Kaggle Notebooks introduces you to data analysis, with a focus on using Kaggle Notebooks to simultaneously achieve mastery in this fi eld and rise to the top of the Kaggle Notebooks tier. The book is structured as a sevenstep data analysis journey, exploring the features available in Kaggle Notebooks alongside various data analysis techniques. For each topic, we provide one or more notebooks, developing reusable analysis components through Kaggle's Utility Scripts feature, introduced progressively, initially as part of a notebook, and later extracted for use across future notebooks to enhance code reusability on Kaggle. It aims to make the notebooks' code more structured, easy to maintain, and readable. Although the focus of this book is on data analytics, some examples will guide you in preparing a complete machine learning pipeline using Kaggle Notebooks. Starting from initial data ingestion and data quality assessment, you'll move on to preliminary data analysis, advanced data exploration, feature qualifi cation to build a model baseline, and feature engineering. You'll also delve into hyperparameter tuning to iteratively refi ne your model and prepare for submission in Kaggle competitions. Additionally, the book touches on developing notebooks that leverage the power of generative AI using Kaggle Models.What you will learn Approach a dataset or competition to perform data analysis via a notebook Learn data ingestion and address issues arising with the ingested data Structure your code using reusable components Analyze in depth both small and large datasets of various types Distinguish yourself from the crowd with the content of your analysis Enhance your notebook style with a color scheme and other visual effects Captivate your audience with data and compelling storytelling techniques Who this book is for This book is suitable for a wide audience with a keen interest in data science and machine learning, looking to use Kaggle Notebooks to improve their skills and rise in the Kaggle Notebooks ranks. This book caters to: Beginners on Kaggle from any background Seasoned contributors who want to build various skills like ingestion, preparation, exploration, and visualization Expert contributors who want to learn from the Grandmasters to rise into the upper Kaggle rankings Professionals who already use Kaggle for learning and competing

Download or read book Maven written by Vincent Massol and published by "O'Reilly Media, Inc.". This book was released on 2005-06-20 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're a Java programmer, you'll be armed with all the critical information you need to get up to speed on this powerful new build tool. In the end, you'll find yourself spending less time working on your project's build system and more time working on your project's code.

Download or read book Writers and Their Notebooks written by Diana M. Raab and published by Univ of South Carolina Press. This book was released on 2018-05-01 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personal reflections on the vital role of the notebook in creative writing, from Dorianne Laux, Sue Grafton, John Dufresne, Kyoko Mori, and more. This collection of essays by established professional writers explores how their notebooks serve as their studios and workshops—places to collect, to play, and to make new discoveries with language, passions, and curiosities. For these diverse writers, the journal also serves as an ideal forum to develop their writing voice, whether crafting fiction, nonfiction, or poetry. Some include sample journal entries that have since developed into published pieces. Through their individual approaches to keeping a notebook, the contributors offer valuable advice, personal recollections, and a hearty endorsement of the value of using notebooks to document, develop, and nurture a writer’s creative spark.

Download or read book Ultimate Go Notebook written by William Kennedy and published by . This book was released on 2021-07-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Whole Brain Child written by Daniel J. Siegel and published by Delacorte Press. This book was released on 2011-10-04 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER • More than 1 million copies in print! • The authors of No-Drama Discipline and The Yes Brain explain the new science of how a child’s brain is wired and how it matures in this pioneering, practical book. “Simple, smart, and effective solutions to your child’s struggles.”—Harvey Karp, M.D. In this pioneering, practical book, Daniel J. Siegel, neuropsychiatrist and author of the bestselling Mindsight, and parenting expert Tina Payne Bryson offer a revolutionary approach to child rearing with twelve key strategies that foster healthy brain development, leading to calmer, happier children. The authors explain—and make accessible—the new science of how a child’s brain is wired and how it matures. The “upstairs brain,” which makes decisions and balances emotions, is under construction until the mid-twenties. And especially in young children, the right brain and its emotions tend to rule over the logic of the left brain. No wonder kids throw tantrums, fight, or sulk in silence. By applying these discoveries to everyday parenting, you can turn any outburst, argument, or fear into a chance to integrate your child’s brain and foster vital growth. Complete with age-appropriate strategies for dealing with day-to-day struggles and illustrations that will help you explain these concepts to your child, The Whole-Brain Child shows you how to cultivate healthy emotional and intellectual development so that your children can lead balanced, meaningful, and connected lives. “[A] useful child-rearing resource for the entire family . . . The authors include a fair amount of brain science, but they present it for both adult and child audiences.”—Kirkus Reviews “Strategies for getting a youngster to chill out [with] compassion.”—The Washington Post “This erudite, tender, and funny book is filled with fresh ideas based on the latest neuroscience research. I urge all parents who want kind, happy, and emotionally healthy kids to read The Whole-Brain Child. This is my new baby gift.”—Mary Pipher, Ph.D., author of Reviving Ophelia and The Shelter of Each Other “Gives parents and teachers ideas to get all parts of a healthy child’s brain working together.”—Parent to Parent

Download or read book Notebook Connections written by Aimee Buckner and published by Taylor & Francis. This book was released on 2023-10-10 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Notebook Connections: Strategies for the Reader's Notebook , author Aimee Buckner focuses on the reading workshop and how teachers can transform students from couch potato- readers who read and answer basic questions about a text to readers who critically think beyond their reading. Buckner's fourth grade students use reader's notebooks as a place to document their thinking about a text and explore ideas without every entry being judged or graded as evidence of their reading progress. Buckner describes her model as flexible enough for students to respond in a variety of ways yet structured enough to provide explicit instruction. Inside Notebook Connections, you'll find: Ways to launch, develop, and fine-tune a reader's notebook program Teacher-guided lessons for each chapter Assessment tips to review student growth and comprehension levels How to select the strategies that work for them and incorporate into the workshop Notebook Connections provides a comprehensive model for making reader's notebooks the centerpiece of your reading workshop. Reader's notebooks become a bridge that helps students make connections between ideas, texts, strategies, and their work as readers and writers.

Download or read book Work Smarter with Evernote written by Alexandra Samuel and published by Harvard Business Press. This book was released on 2012-12-18 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you’ve always wanted to try Evernote or have only dabbled with it in the past, you can take your professional life to the next level by making this tool one of your go-to systems for staying organized. Evernote can help you become more focused and effective on the job—and get ahead in your career. This short, practical book shows you how. In Work Smarter with Evernote, social media expert Alexandra Samuel demonstrates the most effective ways to use this popular (and free) web-based notebook system to: • Capture the right notes, documents, images, ideas, and inspirations • Keep the information you want always at your fingertips • Enhance collaboration by sharing and publishing your notes • Focus on the work that matters most to you and aligns best with your professional goals The book also includes a 30-minute quick guide to setting up your Evernote system and notebooks for maximum utility and ease of navigation. Interested in learning more about how social media can help you get ahead of your daily work—and get ahead in your career? Look for more in this series of short, digital books from Harvard Business Review Press and social media expert Alexandra Samuel. Other installments provide the best tips and tricks for using tools like Evernote, Twitter, HootSuite, and Gmail to get organized and improve your performance on the job.

Download or read book Notebooks written by Athol Fugard and published by Theatre Communications Group. This book was released on 2013-10-15 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Fugard registers and captures the keen images that are the very stuff of vibrant theatre."--Time

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Download or read book The Sentient Machine written by Amir Husain and published by Simon and Schuster. This book was released on 2017-11-21 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing perspectives while discussing emerging intellectual diversity and its potential role in enabling a positive life.

Download or read book Hands On Machine Learning with Scikit Learn Keras and TensorFlow written by Aurélien Géron and published by "O'Reilly Media, Inc.". This book was released on 2019-09-05 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets

Download or read book Deep Learning with Python written by Francois Chollet and published by Simon and Schuster. This book was released on 2017-11-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance

Download or read book EBay Rescue Profit Maker written by Kevin W. Boyd and published by Penguin. This book was released on 2009 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: "eBay Rescue Profit Maker provides the tools and methods you need to shake up your eBay business and make it profitable. This book will radically change your way of thinking about product selection and provide a guaranteed roadmap to eBay success." --Book Jacket.

Download or read book Hand Me Down written by Lee Nichols and published by Harlequin. This book was released on 2012-02-15 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: For Anne Olsen, new and improved is the only way to live. So how'd she fall for a secondhand man? Charlotte had the Malibu Barbie with a full wardrobe, Emily inherited a slightly used Barbie with two outfits and Anne was left with a one-armed, bald Barbie who enjoyed nudist colonies. It's little wonder that at twenty-nine, Anne drives a new car, eats only from freshly opened packages and thinks antique is a euphemism for moldy. After growing up in the shadows of her older sisters—one a swimsuit model, the other a pop-feminist—Anne's personality is one part sibling rivalry and two parts VD (stands for Vague Dissatisfaction, and yes, it itches). Now she's the self-professed underachiever in the family, determined to find happiness on her own terms. But when her sister's ex-boyfriend—seemingly perfect, potentially interested—reenters her life, Anne's got to ask: Could she possibly fall in love with a hand-me-down man?