Getting Started with Machine Learning » Thunderbolt Labs

Machine Learning (or ML) offers the promise of having a computer pour through your data and automatically extract or create the information that you’re interested in. At least in theory. On closer inspection machine learning is a loosely defined collection of poorly explained statistical and algorithmic tricks that are magical when they work and fail fantastically when they don’t. Acquiring the needed skills for working with data safely is not easy. So we’ve assembled a solid set of suggestions and resources on getting started.

Children are suffering a severe deficit of play – Peter Gray – Aeon

What I learnt in my hunter-gatherer education has been far more valuable to my adult life than what I learnt in school, and I think others in my age group would say the same if they took time to think about it.

Readme Driven Development

Between The Great Backlash Against Waterfall Design and The Supreme Acceptance of Agile Development, something was lost. Don’t get me wrong, waterfall design takes things way too far. Huge systems specified in minute detail end up being the WRONG systems specified in minute detail. We were right to strike it down. But what took its place is too far in the other direction. Now we have projects with short, badly written, or entirely missing documentation. Some projects don’t even have a Readme!

This is not acceptable. There must be some middle ground between reams of technical specifications and no specifications at all. And in fact there is. That middle ground is the humble Readme.

How can I list all tags in my Git repository by the date they were created? - Stack Overflow

git for-each-ref –sort=taggerdate –format ‘%(refname) %(taggerdate)’ refs/tags

How To Lose Yourself | Thought Catalog

“If you let your mind talk you out of things that aren’t logical, you’re going to have a very boring life. Because grace isn’t logical. Love isn’t logical. Miracles aren’t logical.”

Barbra DeAngelis said that. And in one sweeping statement, she summed up the entirety of what I’m trying to say here.

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You are not your job, your relationship, where you live, where you grew up, where you went to school, what you’re passionate about, what you do or what you did or where you’re going or where you’ve been. You just are. You are your existence, you are your awareness, you are your consciousness.