Human-Machine Learning
SKU: 70255796191

Human-Machine Learning

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Description

Human-Machine LearningForget to design a solution once and for all with Machine Learning it simply doesnt work! You need to become a Loop designer. Given that learning is inherently dynamic, designers need to harness feedback loops to create solutions that adapt to changing environments and data. Discover how to work backward from humans, partner with ML field experts, build effective feedback loop mechanisms, and design data aware interactions. With Machine Learning,

Forget to design a solution once and for all - with Machine Learning it simply doesnÕt work!
You need to become a Loop designer.
Given that learning is inherently dynamic, designers need to harness feedback loops to create solutions that adapt to changing environments and data. Discover how to work backward from humans, partner with ML field experts, build effective feedback loop mechanisms, and design data-aware interactions.

With Machine Learning, designers hold a crucial role in keeping humans and society at the center. The book guides the reader in understanding the challenges and peculiarities of designing these systems. It provides methods and tools to apply a human-centered approach to problem-framing and solving.

'Human-Machine learningÕ is a design paradigm that enables both humans and machines to learn and adapt.

Shifting our perspective from a growth to an adaptive mindset, the book presents the Human-Machine Learning paradigm as a way to tackle complex problems and drive positive change systemically.

Six things you will find in this book:
1. The role of feedback in shaping human and machine learning
2. The role of designers in working backward from human needs in ML projects
3. How to design with and for data
4. How to design feedback loops at three levels of interactions: individual, organizational, and societal
5. A systemic perspective on designing with ML with a humanity-centered approach
6. How to design for Human-Machine Continual Learning

Schillizzi's "Human-Machine Learning" maps the intersection of design and ML through the lens of an AWS veteran. Tailored for rising designers, this book explores AI ethics, surveys system thinking, and offers actionable tactics for aligning with engineering and product teams in the tech realm. Its engaging narrative provides a roadmap for iterative "designing in loops" product development in todayÕs AI-driven industry. ÑJohn Maeda, Author of How To Speak Machine

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SKU: 70255796191

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4.8 ★★★★★
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Verified Purchase
Jude Barack
Omaha, US
★★★★★ 5
Practical guide to building a good presentation
Format: Kindle
I liked the walking through the process of preparing a presentation. Easy to read, easy to follow...
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 11, 2018
L
Verified Purchase
lazy reader
Louisville, US
★★★★★ 5
Better PowerPoints
Format: Kindle
It will change the way you think about making presentations.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 25, 2019
M
Verified Purchase
Michael R. Myers
Los Angeles, US
★★★★★ 5
Great book
Format: Paperback
Great book. Very helpful and practical.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 24, 2020
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Verified Purchase
Peter S
Louisville, US
★★★★★ 1
Not a Users Guide
Format: Paperback
Although many readers may find this book useful, it describes a particular approach to Powerpoint. It is not anything like a comprehensive users guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 31, 2020
K
Verified Purchase
Karen T. Mcneely
Omaha, US
★★★★★ 2
Just linear
Format: Paperback
I appreciate that it helps to organize the chaos of information, but I just used the template verbatim with my manager and it did not go very well. He said this linear approach does not work anymore with high-level corporate audiences. They want to cut right to the chase and start to dig into the deep details. This layout with simple images, even if you just pull away the map and anchor slides, makes the storytelling too much like a story, not giving enough credit to the speed at which certain audiences can and do process data on a slide. It was an interesting exercise and I still think this linear layout works in some cases. Just not if you are trying to communicate business case or other C-suite type of information.
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Reviewed in the United States on March 4, 2021

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