Join 📚 Kevin's Highlights
A batch of the best highlights from what Kevin's read, .
As shocking as that might initially seem, we should not to be totally surprised.
Seven years of AI has taught us that deep learning is unpredictable, and not always human like.
“Adversarial attacks” like these have shown remarkable weakness, time and again, repeatedly establishing that what deep learning systems do just isn’t the same as what people do:
[](https://substackcdn.com/image/fetch/f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8f1f1fed-7908-4cc0-a29b-d88005ebaa10_2000x794.png)
David Beats Go-Liath
Gary Marcus
• Finding and Understanding the Data
• Cleaning the Data and Feature Engineering
• Tuning and Evaluating
• Using the Model and Presenting Results
The Machine Learning Process
Codecademy
Finally, your last quick assessment
to make sure you’ve successfully tailored your resume is to
see if someone else—like a friend or mentor—
can explain why you’re interested in the position
just based on reading your resume.
If your friend can’t suss out why you’re applying
or how you’re a good fit,
then more tailoring is likely needed.
What It Really Means to "Tailor Your Resume"
Lily Zhang
...catch up on these, and many more highlights
Readwise