Decomposition Notebook
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| Author | : Ralph Fletcher |
| Publisher | : Harper Collins |
| Total Pages | : 147 |
| Release | : 2010-08-24 |
| Genre | : Juvenile Nonfiction |
| ISBN | : 0062014935 |
Tap into your inner writer with this book of practical advice by the bestselling author of How Writers Work and the ALA Notable Book Fig Pudding. Writers are just like everyone else—except for one big difference. Most people go through life experiencing daily thoughts and feelings, noticing and observing the world around them. But writers record these thoughts and observations. They react. And they need a special place to record those reactions. Perfect for classrooms, A Writer’s Notebook gives budding writers a place to keep track of all the little things they notice every day. Young writers will love these useful tips for how to use notes and jottings to create stories and poems of their own.
| Author | : The New York Botanical Garden |
| Publisher | : Clarkson Potter |
| Total Pages | : 42 |
| Release | : 2018-10-09 |
| Genre | : Art |
| ISBN | : 1524759090 |
Twenty beautiful, brilliantly colored prints of rare orchids from the New York Botanical Garden collection housed in a keepsake box to be published in time for the wildly popular annual Orchid Show at the NYBG This elegant box of prints features 20 magnificent reproductions of rare orchid paintings from the NYBG's world-renowned collection. They can be mounted together for a dramatic wall statement or singly for wider range and for gifting. Irresistible for fans of botanical art and orchid lovers in particular and printed on luxurious card stock, they fit both a10 x 12 inch frame or an 11 x 14-inch frame with mat.
| Author | : Christoph Molnar |
| Publisher | : Lulu.com |
| Total Pages | : 320 |
| Release | : 2020 |
| Genre | : Artificial intelligence |
| ISBN | : 0244768528 |
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
| Author | : Marc Peter Deisenroth |
| Publisher | : Cambridge University Press |
| Total Pages | : 392 |
| Release | : 2020-04-23 |
| Genre | : Computers |
| ISBN | : 1108569323 |
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
| Author | : |
| Publisher | : Chronicle Books |
| Total Pages | : 268 |
| Release | : 2005-10-13 |
| Genre | : Business & Economics |
| ISBN | : 9780811842235 |
"Fields of Plenty is the memoir of respected farmer, writer, and photographer Michael Ableman as he and his son travel from his own farm in British Columbia across the United States in search of innovative and passionate farmers who are making a difference in what we eat and how we experience food. From California to New York, this story captures the essence of each farmer's vision, the spirit of the land that they work, and the beauty and flavors of the foods that they lovingly produce. Ableman's odyssey takes him to a melon grower who is "militant about flavor," sheep-cheese producers who have built their own culturing caves, an urban farmer growing heirloom tomatoes for market on abandoned lots, and others who are trying to answer the complex questions of sustenance philosophically and, most important, practically." "Fields of Plenty is a hopeful memoir that reveals the larger issues of food in a modern world. Illustrated with Ableman's photographs and flavored with recipes that feature each farmer's bounty, Fields of Plenty is an intimate portrait of food and agriculture at a critical crossroads."--BOOK JACKET.
| Author | : Larry Scheckel |
| Publisher | : The Experiment |
| Total Pages | : 369 |
| Release | : 2013-12-17 |
| Genre | : Science |
| ISBN | : 1615190872 |
Fun and fascinating science is everywhere, and it’s a cinch to learn—just ask a science teacher! We’ve all grown so used to living in a world filled with wonders that we sometimes forget to wonder about them: What creates the wind? Do fish sleep? Why do we blink? These are common phenomena, but it’s a rare person who really knows the answers—do you? All too often, the explanations remain shrouded in mystery—or behind a haze of technical language. For those of us who should have raised our hands in science class but didn’t, Larry Scheckel comes to the rescue. An award-winning science teacher and longtime columnist for his local newspaper, Scheckel is a master explainer with a trove of knowledge. Just ask the students and devoted readers who have spent years trying to stump him! In Ask a Science Teacher, Scheckel collects 250 of his favorite Q&As. Like the best teachers, he writes so that kids can understand, but he doesn’t water things down— he’ll satisfy even the most inquisitive minds. Topics include: •The Human Body •Earth Science •Astronomy •Chemistry Physics •Technology •Zoology •Music and conundrums that don’t fit into any category With refreshingly uncomplicated explanations, Ask a Science Teacher is sure to resolve the everyday mysteries you’ve always wondered about. You’ll learn how planes really fly, why the Earth is round, how microwaves heat food, and much more—before you know it, all your friends will be asking you!
| Author | : Marissa Moss |
| Publisher | : Simon and Schuster |
| Total Pages | : 36 |
| Release | : 2011-05-03 |
| Genre | : Juvenile Fiction |
| ISBN | : 1442435291 |
When Amelia’s mom gives her a journal for her birthday, she finally has a place to share her truest feelings at last! Nine-year-old Amelia’s mother gives her a blank notebook to write down her thoughts and tells her it will make her feel better. Why would a dumb notebook make me feel better, Amelia thinks. The only thing that will make Amelia feel better is going back to old house, her old school, and her old friends. Amelia does not—do you hear this!—want to move. But no one is listening to Amelia.
| Author | : José Unpingco |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 134 |
| Release | : 2013-10-04 |
| Genre | : Technology & Engineering |
| ISBN | : 3319013424 |
This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to “experiment and learn” as they read. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remain unchanged into the foreseeable future. For those looking to migrate their signal processing codes to Python, this book illustrates the key signal and plotting modules that can ease this transition. For those already comfortable with the scientific Python toolchain, this book illustrates the fundamental concepts in signal processing and provides a gateway to further signal processing concepts.
| Author | : Inc. Peter Pauper Press |
| Publisher | : Peter Pauper Press |
| Total Pages | : 0 |
| Release | : 2016-07 |
| Genre | : |
| ISBN | : 9781441322418 |
192 lined pages. 7.25" wide x 9" high. Bookbound hardcover. Lies flat for ease of use. Acid-free, archival paper. Gold foil, embossed, ribbon bookmark.
| Author | : Decomposition Beauty |
| Publisher | : |
| Total Pages | : 120 |
| Release | : 2021-10-24 |
| Genre | : |
| ISBN | : |
(DISCLAIMER: NOT RECYCLED PAPERS - This Is Only A Artificial Decomposition. Inside Pages Are Brand New As Typical Notebooks) Decomposition Notebook Features: 120 college ruled pages Duo sided wide ruled sheets Perfect sturdy matte softbound cover 8.5" x 11" dimensions Can be used as a notebook, journal, diary or composition book for school and work Perfectly suited for taking notes, writing, organizing, lists, journaling and brainstorming Decomposition Notebooks are the perfect gift for adults and kids for any gift giving occasion
