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Duck on a Bike

Duck on a Bike
Author: David Shannon
Publisher: Scholastic Inc.
Total Pages: 42
Release: 2016-07-26
Genre: Juvenile Fiction
ISBN: 0545530032

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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


Boogie Down Predictions

Boogie Down Predictions
Author: Roy Christopher
Publisher: MIT Press
Total Pages: 316
Release: 2022-09-13
Genre: Music
ISBN: 1913689298

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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.


Time Predictions

Time Predictions
Author: Torleif Halkjelsvik
Publisher: Springer
Total Pages: 117
Release: 2018-02-28
Genre: Business & Economics
ISBN: 3319749536

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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.


Potato Pants!

Potato Pants!
Author: Laurie Keller
Publisher: Henry Holt and Company (BYR)
Total Pages: 40
Release: 2018-10-02
Genre: Juvenile Fiction
ISBN: 125022599X

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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.


Ionospheric Predictions for ...

Ionospheric Predictions for ...
Author: Institute for Telecommunication Sciences
Publisher:
Total Pages: 378
Release: 1965
Genre: Ionospheric forecasting
ISBN:

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Predictions

Predictions
Author: Theodore Modis
Publisher:
Total Pages: 312
Release: 1992
Genre: Psychology
ISBN:

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Presents the mathematical and scientific techniques that will enable us to anticipate many future trends and events with a high degree of accuracy.


Patterns, Predictions, and Actions: Foundations of Machine Learning

Patterns, Predictions, and Actions: Foundations of Machine Learning
Author: Moritz Hardt
Publisher: Princeton University Press
Total Pages: 321
Release: 2022-08-23
Genre: Computers
ISBN: 0691233721

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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


The Road Ahead

The Road Ahead
Author: Bill Gates
Publisher: Penguin Group
Total Pages: 356
Release: 1996
Genre: Business & Economics
ISBN:

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In this clear-eyed, candid, and ultimately reassuring


Prediction, Learning, and Games

Prediction, Learning, and Games
Author: Nicolo Cesa-Bianchi
Publisher: Cambridge University Press
Total Pages: 4
Release: 2006-03-13
Genre: Computers
ISBN: 113945482X

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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.