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How to write an effective resume
How to network and make connections
How to prepare for a job interview
manufacturing visual inspection.
So the challenge is, can you get an AI to work with a hundred images?
Challenge of smaller data set
~ hundred examples
noisy data
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0 reads
MORE IDEAS ON THIS
Landing Ai
- 2017, founded
- Data centric deep learning
- how businesses without giant data sets to draw on can still join in the AI revolution.
- LandingLens to help manufacturers improve visual inspection with computer vision
1
1 read
How do I build an AI-first business?”
= the wrong way
be customer-led or mission-led, almost never technology-led.
1
0 reads
Thoughts on data centric ai
- digital transformation so there’s some data.
- Make AI work on hundred images?
- data is never clean and perfect. It’s a journey.
- prioritize what data to collect.
- smaller data sets == cleanly labeled and carefully curated.
- noisy data has a huge im...
1
3 reads
Andrew Ng And Manufacturing Ai
- How manufacturing ai is different from software consumer use cases
- consumer software internet = billion users = big data.
- manufacturing, = small + fragmented
1
8 reads
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Be Visual
Readers understand and remember material far better when it is expressed in concrete language that allows them to form visual images. So trying to make the reader “see” is a good goal and being concrete has huge effects.
Helpful tips for trying visual note-taking
- Turn your paper 90 degrees so it’s longer than it is tall.
- Pair images with your own words.
- Arrange them on the page in a way that makes sense to you.
- The images don’t have to be complicated or artsy. They don’t have to make sense ...
We seek immediate rewards
Unlike small, unimportant tasks, the challenge with our most important tasks is that our efforts aren’t immediately rewarded with visible progress.
The key to success here is to break down the big rocks into smaller milestones so that you can feel a sense of progress.
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