Simple Machines: Compound Machines
Simple Machines: Compound Machines

Author: George Graybill

Publisher: Classroom Complete Press

Published: 2013-10-01

Total Pages: 26

ISBN-13: 1771673028

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**This is the chapter slice "Compound Machines" from the full lesson plan "Simple Machines"** Just how simple are simple machines? With our ready-to-use resource, they are simple to teach and easy to learn! Chocked full of information and activities, we begin with a look at force, motion and work, and examples of simple machines in daily life are given. With this background, we move on to different kinds of simple machines including: Levers, Inclined Planes, Wedges, Screws, Pulleys, and Wheels and Axles. An exploration of some compound machines follows, such as the can opener. Our resource is a real time-saver as all the reading passages, student activities are provided. Presented in simplified language and vocabulary that will give your students a kick start on learning. Includes color mini posters, hands-on activities, Crossword, Word Search and Final Quiz. All of our content meets the Common Core State Standards and are written to Bloom's Taxonomy and STEM initiatives.

Interpretable Machine Learning
Interpretable Machine Learning

Author: Christoph Molnar

Publisher: Lulu.com

Published: 2020

Total Pages: 320

ISBN-13: 0244768528

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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.

The Mesmer Menace
The Mesmer Menace

Author: Kersten Hamilton

Publisher: Houghton Mifflin Harcourt

Published: 2013

Total Pages: 149

ISBN-13: 0547905688

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The first book in a fast-paced historical fantasy series narrated by a daring dachshund and brimming with mad science.

The LEGO Technic Idea Book: Fantastic Contraptions
The LEGO Technic Idea Book: Fantastic Contraptions

Author: Yoshihito Isogawa

Publisher: No Starch Press

Published: 2010-10-01

Total Pages: 180

ISBN-13: 1593272790

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The LEGO® Technic Idea Book: Fantastic Contraptions is a collection of hundreds of working examples of simple yet fascinating Technic models that you can build based on their pictures alone. Each project uses color-coded pieces and is photographed from multiple angles, making it easy to see how the models are assembled without the need for step-by-step instructions. Every model illustrates a different principle, concept, or mechanism that will inspire your own original creations. You're encouraged to use these elements as building blocks to create your own masterpieces. The Technic models in Fantastic Contraptions include working catapults, crawling spiders, and bipedal walkers, as well as gadgets powered by fans, propellers, springs, magnets, and vibration. You'll even learn how to add lights, pneumatics, and solar panels to your own models. This visual guide, the third in the three-volume LEGO Technic Idea Book series, is the brainchild of master builder Yoshihito Isogawa of Tokyo, Japan. Each title is filled with photos of Isogawa's unique models, all of which are designed to fire the imaginations of LEGO builders young and old. Imagine. Create. Invent. Now, what will you build? NOTE: The LEGO Technic Idea Book series uses parts from various Technic sets. If you don't have some of the pieces shown in a particular model, experiment by substituting your own parts or visit the author's website for a list of the special parts used in the book.

Insights
Insights

Author:

Publisher: Kendall Hunt

Published: 2003

Total Pages: 198

ISBN-13: 9780787265328

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As this module begins, students are asked to think about what it means to make work easier. They then try out experiences and challenges using levers, planes, and pulleys and explore the advantages and disadvantages of each. At the end of the module, they are challenged to analyze a construction site that has no power and decide which simple machine is most appropriate for each task. Each Teacher Guide includes: Specific teaching and management strategies Detailed teaching sequences for teaching the first three phases of the Learning Experience (Getting Started; Exploring and Discovering; and Processing For Meaning) Reproducible masters for Student Science Notebook pages, Group Recording Sheets, and Home-School Worksheets Extension activities in science, language arts and social studies Assessment materials (an introductory questionnaire, embedded assessments, and a final questionnaire consisting of performance and written components) Science Background (provides general science concepts as they are introduced and developed in the module) to help prepare teacher Teacher and Student Resources section (annotated lists of children's books, teacher reference books, and technological aids)

Driven by Data
Driven by Data

Author: Paul Bambrick-Santoyo

Publisher: John Wiley & Sons

Published: 2010-04-12

Total Pages: 336

ISBN-13: 0470548746

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Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.

Machine Learning Fundamentals in Action A Step-by-Step Guide to Implementing Machine Learning Solutions
Machine Learning Fundamentals in Action A Step-by-Step Guide to Implementing Machine Learning Solutions

Author: Konstantin Titov

Publisher: Konstantin Titov

Published:

Total Pages: 228

ISBN-13:

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Master Machine Learning Fundamentals Whether you’re an aspiring data scientist, business professional, or curious learner, Machine Learning Fundamentals in Action is your essential guide to the world of machine learning. Packed with practical examples and real-world applications, this book helps you navigate key concepts and techniques transforming industries today. Unlock the Power of Machine Learning Discover every step, from data preparation to building and deploying models, with clear and actionable insights. Who Is This Book For? Aspiring Data Scientists: Build a solid foundation in ML concepts. Business Professionals: Use data-driven decisions to solve challenges. Developers and Engineers: Get hands-on experience with model-building techniques. Curious Learners: Understand ML with easy, step-by-step explanations. What You’ll Learn: Core ML principles and real-world applications Types of ML: Supervised, Unsupervised, and Reinforcement Learning Advanced topics: Neural networks, deep learning, and more How to deploy models and avoid common pitfalls Start your machine learning journey today!