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AI for Speech Recognition for Beginners
0 - Default Title
Description
You'll learn how real organizations use experiments to reduce guesswork and measure impact. A famous large-scale web experiment once tested dozens of shades of blue and showed that tiny design changes can significantly affect user behavior-an example that illustrates why careful measurement matters and why intuition alone often fails.
Rather than presenting A/B testing as a perfect process, the book emphasizes the moments where learning happens: failures, setbacks, and course corrections. Each chapter highlights what didn't work, what the experiment revealed, and how teams adjusted their approach-showing how experiments turn mistakes into useful information.
Chapters walk you through forming testable hypotheses, choosing clear success metrics, setting up fair comparisons, and interpreting results without overclaiming. You'll also learn plain-language explanations of sample size, statistical noise, and common pitfalls.
The book includes short exercises and prompts that help you practice designing experiments, tracking outcomes, and communicating findings. It also covers basic ethical safeguards-how to avoid harming user experience, monitor unintended effects, and stop tests that create problems-so experimentation remains responsible as well as effective.
Product details
Binding:
Paperback
Number of Pages:
216
Release Date:
2025-09-03
Publication Date:
2025-09-03
Publisher:
Little Big Giant
Languages:
Original:
English
ISBN13:
9798295535499
Weight:
246 g
Height:
140 cm
Width:
191 cm
Thickness:
12 cm
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