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Book Duck on a Bike

    Book Details:
  • Author : David Shannon
  • Publisher : Scholastic Inc.
  • Release : 2016-07-26
  • ISBN : 0545530032
  • Pages : 42 pages

Download or read book Duck on a Bike written by David Shannon and published by Scholastic Inc.. This book was released on 2016-07-26 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this off-beat book perfect for reading aloud, a Caldecott Honor winner shares the story of a duck who rides a bike with hilarious results. One day down on the farm, Duck got a wild idea. “I bet I could ride a bike,” he thought. He waddled over to where the boy parked his bike, climbed on, and began to ride. At first, he rode slowly and he wobbled a lot, but it was fun! Duck rode past Cow and waved to her. “Hello, Cow!” said Duck. “Moo,” said Cow. But what she thought was, “A duck on a bike? That’s the silliest thing I’ve ever seen!” And so, Duck rides past Sheep, Horse, and all the other barnyard animals. Suddenly, a group of kids ride by on their bikes and run into the farmhouse, leaving the bikes outside. Now ALL the animals can ride bikes, just like Duck! Praise for Duck on a Bike “Shannon serves up a sunny blend of humor and action in this delightful tale of a Duck who spies a red bicycle one day and gets “a wild idea” . . . Add to all this the abundant opportunity for youngsters to chime in with barnyard responses (“M-o-o-o”; “Cluck! Cluck!”), and the result is one swell read-aloud, packed with freewheeling fun.” —Publishers Weekly “Grab your funny bone—Shannon . . . rides again! . . . A “quackerjack” of a terrific escapade.” —Kirkus Reviews

Book Boogie Down Predictions

    Book Details:
  • Author : Roy Christopher
  • Publisher : MIT Press
  • Release : 2022-09-13
  • ISBN : 191368928X
  • Pages : 337 pages

Download or read book Boogie Down Predictions written by Roy Christopher and published by MIT Press. This book was released on 2022-09-13 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essays that explore the connections between time, representation, and identity within hip-hop culture. "This book, edited by Roy Christopher, is a moment. It is the deconstructed sample, the researched lyrical metaphors, the aha moment on the way to hip-hop enlightenment. Hip-hop permeates our world, and yet it is continually misunderstood. Hip-hop's intersections with Afrofuturism and science fiction provide fascinating touchpoints that enable us to see our todays and tomorrows. This book can be, for the curious, a window into a hip-hop-infused Alter Destiny--a journey whose spaceship you embarked on some time ago. Are you engaging this work from the gaze of the future? Are you the data thief sailing into the past to U-turn to the now? Or are you the unborn child prepping to build the next universe? No, you're the superhero. Enjoy the journey."--from the introduction by Ytasha L. Womack Through essays by some of hip-hop's most interesting thinkers, theorists, journalists, writers, emcees, and DJs, Boogie Down Predictions embarks on a quest to understand the connections between time, representation, and identity within hip-hop culture and what that means for the culture at large. Introduced by Ytasha L. Womack, author of Afrofuturism: The World of Black Sci-Fi and Fantasy Culture, this book explores these temporalities, possible pasts, and further futures from a diverse, multilayered, interdisciplinary perspective.

Book Time Predictions

Download or read book Time Predictions written by Torleif Halkjelsvik and published by Springer. This book was released on 2018-02-28 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is published open access under a CC BY 4.0 license. Predicting the time needed to complete a project, task or daily activity can be difficult and people frequently underestimate how long an activity will take. This book sheds light on why and when this happens, what we should do to avoid it and how to give more realistic time predictions. It describes methods for predicting time usage in situations with high uncertainty, explains why two plus two is usually more than four in time prediction contexts, reports on research on time prediction biases, and summarizes the evidence in support of different time prediction methods and principles. Based on a comprehensive review of the research, it is the first book summarizing what we know about judgment-based time predictions. Large parts of the book are directed toward people wishing to achieve better time predictions in their professional life, such as project managers, graphic designers, architects, engineers, film producers, consultants, software developers, or anyone else in need of realistic time usage predictions. It is also of benefit to those with a general interest in judgment and decision-making or those who want to improve their ability to predict and plan ahead in daily life.

Book Potato Pants

    Book Details:
  • Author : Laurie Keller
  • Publisher : Henry Holt and Company (BYR)
  • Release : 2018-10-02
  • ISBN : 125022599X
  • Pages : 40 pages

Download or read book Potato Pants written by Laurie Keller and published by Henry Holt and Company (BYR). This book was released on 2018-10-02 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: A potato and his eggplant nemesis struggle to find the perfect pants in this hilarious, heartwarming tale of forgiveness by bestselling Geisel-Award winning creator Laurie Keller. Potato is excited because today—for one day only— Lance Vance’s Fancy Pants Store is selling . . .POTATO PANTS! Potato rushes over early, but just as he’s about to walk in, something makes him stop. What could it be? Find out in this one-of-a-kind story about misunderstandings and forgiveness, and—of course—Potato Pants! A Christy Ottaviano Book This title has Common Core connections.

Book Ionospheric Predictions for

Download or read book Ionospheric Predictions for written by Institute for Telecommunication Sciences and published by . This book was released on 1965 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Predictions

    Book Details:
  • Author : Theodore Modis
  • Publisher :
  • Release : 1992
  • ISBN :
  • Pages : 312 pages

Download or read book Predictions written by Theodore Modis and published by . This book was released on 1992 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the mathematical and scientific techniques that will enable us to anticipate many future trends and events with a high degree of accuracy.

Book Basic Radio Propagation Predictions

Download or read book Basic Radio Propagation Predictions written by and published by . This book was released on 1946 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Prediction

    Book Details:
  • Author : Daniel R. Sarewitz
  • Publisher :
  • Release : 2000-04
  • ISBN :
  • Pages : 434 pages

Download or read book Prediction written by Daniel R. Sarewitz and published by . This book was released on 2000-04 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based upon ten case studies, Prediction explores how science-based predictions guide policy making and what this means in terms of global warming, biogenetically modifying organisms and polluting the environment with chemicals.

Book Patterns  Predictions  and Actions  Foundations of Machine Learning

Download or read book Patterns Predictions and Actions Foundations of Machine Learning written by Moritz Hardt and published by Princeton University Press. This book was released on 2022-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers

Book Prediction  Learning  and Games

Download or read book Prediction Learning and Games written by Nicolo Cesa-Bianchi and published by Cambridge University Press. This book was released on 2006-03-13 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.

Book CRYPTOCURRENCY PRICE ANALYSIS  PREDICTION  AND FORECASTING USING MACHINE LEARNING WITH PYTHON

Download or read book CRYPTOCURRENCY PRICE ANALYSIS PREDICTION AND FORECASTING USING MACHINE LEARNING WITH PYTHON written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2023-07-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this project, we will be conducting a comprehensive analysis, prediction, and forecasting of cryptocurrency prices using machine learning with Python. The dataset we will be working with contains historical cryptocurrency price data, and our main objective is to build models that can accurately predict future price movements and daily returns. The first step of the project involves exploring the dataset to gain insights into the structure and contents of the data. We will examine the columns, data types, and any missing values present. After that, we will preprocess the data, handling any missing values and converting data types as needed. This will ensure that our data is clean and ready for analysis. Next, we will proceed with visualizing the dataset to understand the trends and patterns in cryptocurrency prices over time. We will create line plots, box plot, violin plot, and other visualizations to study price movements, trading volumes, and volatility across different cryptocurrencies. These visualizations will help us identify any apparent trends or seasonality in the data. To gain a deeper understanding of the time-series nature of the data, we will conduct time-series analysis year-wise and month-wise. This analysis will involve decomposing the time-series into its individual components like trend, seasonality, and noise. Additionally, we will look for patterns in price movements during specific months to identify any recurring seasonal effects. To enhance our predictions, we will also incorporate technical indicators into our analysis. Technical indicators, such as moving averages, Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD), provide valuable information about price momentum and market trends. These indicators can be used as additional features in our machine learning models. With a strong foundation of data exploration, visualization, and time-series analysis, we will now move on to building machine learning models for forecasting the closing price of cryptocurrencies. We will utilize algorithms like Linear Regression, Support Vector Regression, Random Forest Regression, Decision Tree Regression, K-Nearest Neighbors Regression, Adaboost Regression, Gradient Boosting Regression, Extreme Gradient Boosting Regression, Light Gradient Boosting Regression, Catboost Regression, Multi-Layer Perceptron Regression, Lasso Regression, and Ridge Regression to make forecasting. By training our models on historical data, they will learn to recognize patterns and make predictions for future price movements. As part of our machine learning efforts, we will also develop models for predicting daily returns of cryptocurrencies. Daily returns are essential indicators for investors and traders, as they reflect the percentage change in price from one day to the next. By using historical price data and technical indicators as input features, we can build models that forecast daily returns accurately. Throughout the project, we will perform extensive hyperparameter tuning using techniques like Grid Search and Random Search. This will help us identify the best combinations of hyperparameters for each model, optimizing their performance. To validate the accuracy and robustness of our models, we will use various evaluation metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and R-squared. These metrics will provide insights into the model's ability to predict cryptocurrency prices accurately. In conclusion, this project on cryptocurrency price analysis, prediction, and forecasting is a comprehensive exploration of using machine learning with Python to analyze and predict cryptocurrency price movements. By leveraging data visualization, time-series analysis, technical indicators, and machine learning algorithms, we aim to build accurate and reliable models for predicting future price movements and daily returns. The project's outcomes will be valuable for investors, traders, and analysts looking to make informed decisions in the highly volatile and dynamic world of cryptocurrencies. Through rigorous evaluation and validation, we strive to create robust models that can contribute to a better understanding of cryptocurrency market dynamics and support data-driven decision-making.

Book Fatigue Life Prediction of Composites and Composite Structures

Download or read book Fatigue Life Prediction of Composites and Composite Structures written by Anastasios P. Vassilopoulos and published by Elsevier. This book was released on 2010-07-27 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of composites is growing in structural applications in many industries including aerospace, marine, wind turbine and civil engineering. There are uncertainties about the long term performance of these composites and how they will perform under cyclic fatigue loading. Fatigue life prediction of composites and composite structures provides a comprehensive review of fatigue damage and fatigue life prediction methodologies for composites and how they can be used in practice. After an introductory chapter, Part one reviews developments in ways of modelling composite fatigue life. The second part of the book reviews developments in predicting composite fatigue life under different conditions including constant and variable amplitude loading as well as multiaxial and cyclic loading. Part three then describes applications such as fatigue life prediction of bonded joints and wind turbine rotor blades as well as health monitoring of composite structures. With its distinguished editor and international team of contributors, Fatigue life prediction of composites and composite structures is a standard reference for industry and researchers working with composites and those concerned with the long-term performance and fatigue life of composite components and structures. Examines past, present and future trends associated with fatigue life prediction of composite materials and structures Assesses novel computational methods for fatigue life modelling and prediction of composite materials under constant amplitude loading Specific chapters investigate fatigue life prediction of wind turbine rotor blades and bonded joints in composite structures

Book Numerical Weather and Climate Prediction

Download or read book Numerical Weather and Climate Prediction written by Thomas Tomkins Warner and published by Cambridge University Press. This book was released on 2010-12-02 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.

Book The Age of Prediction

Download or read book The Age of Prediction written by Igor Tulchinsky and published by MIT Press. This book was released on 2023-08-22 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The power of the ever-increasing tools and algorithms for prediction and their paradoxical effects on risk. The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions on our understanding of risk and the ways we live. Beginning with dramatic advances in quantitative investing and precision medicine, this book explores how predictive technology is quietly reshaping our world in fundamental ways, from crime fighting and warfare to monitoring individual health and elections. As prediction grows more robust, it also alters the nature of the accompanying risk, setting up unintended and unexpected consequences. The Age of Prediction details how predictive certainties can bring about complacency or even an increase in risks—genomic analysis might lead to unhealthier lifestyles or a GPS might encourage less attentive driving. With greater predictability also comes a degree of mystery, and the authors ask how narrower risks might affect markets, insurance, or risk tolerance generally. Can we ever reduce risk to zero? Should we even try? This book lays an intriguing groundwork for answering these fundamental questions and maps out the latest tools and technologies that power these projections into the future, sometimes using novel, cross-disciplinary tools to map out cancer growth, people’s medical risks, and stock dynamics.

Book Biodegradability Prediction

    Book Details:
  • Author : W.J. Peijnenburg
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 9401156867
  • Pages : 149 pages

Download or read book Biodegradability Prediction written by W.J. Peijnenburg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biodegradation is the dominant pathway for the environmental transformation of most chemicals and information on a chemical's biodegradability is essential for proper risk assessment. But there are few methods for predicting whether or not a chemical is biodegradable, since this depends on the chemical's structure as well as on the environmental conditions that it encounters. The present book deals with quantitative structure-biodegradability relationship models (QSBRs), emphasizing the biological and ecological part of the biodegradation process. Surveys are given of the microbial aspects of biodegradation and the methods available for testing biodegradability. New trends and methods in biodegradation modelling are reviewed, including contributions on computerized biodegradability prediction systems. Some of the newly developed models for assessing risk and ecological impact in aquatic and terrestrial environments have been validated, and this process is discussed. Audience: Scientists active in microbiology, the environmental sciences, biotechnology and bioremediation. Policy makers will find the book indispensable in assessing the present state of the art on the biodegradability of substances.

Book Low cycle Fatigue and Life Prediction

Download or read book Low cycle Fatigue and Life Prediction written by C. Amzallag and published by ASTM International. This book was released on 1982 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: