SKU: 42656961230

Made By Hand: A Crafts Sampler

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Description

Made By Hand: A Crafts SamplerA beautiful, one of a kind volume invites readers to marvel at the time, effort, and care that went into creating handmade toys, tools, and treasures of the past. Whirr, buzz, hum. Before busy machines in factories turned out most of what we need and use, people crafted these items by hand. From a globe to a pie crimper, a butter churn to a rocking horse, this unique collection highlights fourteen one of a kind objects each one drafted, stitched,

A beautiful, one-of-a-kind volume invites readers to marvel at the time, effort, and care that went into creating handmade toys, tools, and treasures of the past. Whirr, buzz, hum. Before busy machines in factories turned out most of what we need and use, people crafted these items by hand. From a globe to a pie crimper, a butter churn to a rocking horse, this unique collection highlights fourteen one-of-a-kind objects — each one drafted, stitched, painted, or engraved by hand.

Author Carole Lexa Schaefer draws inspiration from real historical artifacts to create thirteen short works of fiction, imagining the hands that might have made and used each item. Several artifacts can be traced to their origin, while others remain complete mysteries, making for a fascinating patchwork of fact, guesswork, and imagination. Illustrator Becca Stadtlander breathes color and charm into this handmade history, bringing to life the different objects, people, and times. The result is a singular glimpse of everyday objects and treasures alike — back when such things were made by hand.

  • Format: Hard cover.
  • Page count: 48 pgs.
  • Reading age: 8 - 12 years.
  • Grade level: 3 - 7
  • Measures: 8.31" x 0.39" x 10.98"
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SKU: 42656961230

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MrGee
Carnegie, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
San Leandro, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Verified Purchase
Rafael Azevedo Souza Costa
Boise, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
New York, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
New York, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025

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