The results are often final designs iterated from a single initial concept that miss the mark on multiple fronts. Design

The times are uncertain, and having to make customer experiences more and more seamless and immersive isn’t taking off any of the pressure on companies. In that light, it’s understandable that they’re pouring billions of dollars into the development of machine learning models to improve their products.

Even though 9 out of 10 of tech executives believe that AI will be at the center of the next technological revolution, its adoption and deployment leave room for growth. And the data scientists aren’t the ones to blame.

This is not good if you collaborate on projects with others — but if, say you had an automated writing repository, one that you alone work on, then it makes no real sense to do proper commit messages. All I would ever write in there would be “did some writing yo” anyway.

The data speaks for itself. As VentureBeat reports, around 90 percent of machine learning models never make it into production. In other words, only one in ten of a data scientist’s workdays actually end up producing something useful for the company.

My rent, internet, power and heating, water and insurances, retirement plan contributions — I do not care about any of those, I do not want to see them, hear them talk, whisper dark thoughts into my ears.

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e a pretty good sex life but sometimes we don’t have sex for a week or more. For us — that’s a decent dry spell which breeds major frustration. Our sex life could probably be better — but at least we have one. Does it need work? Sure, almost all things can be improved somehow. However, I’m grateful for the sexual connection we do have after all these years.

As you can probably tell this already saves me a great deal of time for every single post that I create — at least five to ten minutes of super annoying, menial work. It also allows me to place all images directly with the post inside that subfolder — plus I know that I never forget to turn an idea into a project skeleton.

If you are like me you have a lot of different things going on — something new and shiny always comes along. Checking stats is an important part of keeping track — but it costs a ton of time to do manually.

I work between different devices a lot, either my main computer or my Microsoft Surface tablet. This works almost fluently using either Github or Google Drive — but I often found that I would bring my tablet out of the bag as the train sets off and realize that I forgot to push my changes from my desktop computer the night before. That is annoying, and it does not have to be like that — just automate the git commit / git push with a simple script that runs on a delayed endless loop.

Indeed, closure might not be the best solution for some problems from the performance perspective, especially when Dynamic Planning is applicable. However, it is much easier to come up with. Sometimes Dynamic Planning is a bit overkill when we are not very sensitive to the performance, but closure might be good enough.

In the same way I automated my income as well, meaning that I automatically withdraw from paypal, payoneer, stripe or at least do that manually once a month with an automated reminder. Seriously Paypal, get your stuff together and make auto-withdraw a non-business-account feature. Anyway, all my direct income sources are also automated, from Patreon, Amazon Affiliate, Kindle, freelance sites — they all pay me in some way and in some way the money lands in my account.

Investing more money also allows you to make more investments and learn from your mistakes over time. Then you can learn how to earn high returns that beat the market so you can move further along your journey towards the million dollar portfolio.

However it is very simple to automate the pulling of statistics using Python and Selenium — and now you can suddenly push them all to a daily spreadsheet, even send out an email to yourself so that you can read your stats on the train to work.

This automation step has nothing to do with regular programming — but man is it useful. I stopped having money issues after I stopped looking at my bank account some two years ago, that is not exaggerated. Sure, other parts play a role in that — but honestly this is an area where I save so much mind space by a “lack of knowledge” that it’s almost unreal. I pretty much live on a cash-only basis for all non-recurring cost, everything that I have to pay monthly is just automatically withdrawn.

It doesn’t help that, as an industry, we glorify individual designers more than the work they produce. With so much emphasis on personal advancement, our view is distorted, and it leads to us obsessing about the designer’s success instead of learning from successful outcomes. We then elevate a select few successful designers from an unlevel playing field to rockstar status for all to emulate.