This is not a render. This is not a simulation. This is @SpaceX’s first integrated test flight of #Starship with the Super Heavy booster, the world’s largest and most powerful rocket to ever fly. This #slomo is from our 8k tracker shot by @considercosmos.
Last week I released "How to start a rocket engine" and wow, the response has been incredible! Thank you for diving really deep into this topic with me! It was a pleasure to make and I'm so glad so many are learning with me! Have you watched yet? - https://t.co/K8uO1LVCkT
11 ways ChatGPT saves me hours of work every day, and why you'll never outcompete those who use AI effectively.
A list for those who write code:
1 of 16
21 thoughts any data scientist should read to succeed in the real world (that I learned the hard way):
1. Go talk to the person that will use the model before you start building it. You'll waste a lot less time.
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@ruthpozuelo Customs could open it once it arrives. UPS is just basically check it before it leaves the origin to make sure it has all the stuff to clear customs. ODC just means (if I remember correctly) Origin Document Control. And yea, they should have taped it back up.
@ruthpozuelo The green sticker is the UPS workers that make sure things are in order for customs. They opened to verify contents, pretty standard procedure. How do I know? I was one of them, a long time ago. Congrats on the play button!
The true purpose of forecasting is not just to predict the future, but rather to tell you what actions to take in the present.
All of your forecasting tools should be built with that in mind.
Keep working on yourself every day.
Even when it doesn't seem like you are making progress, or you feel like you are stagnating.
It's not always about the immediate impact, success, or achievement.
Those will come in due time, but your own growth is priceless on its own.
Python is a slow language.
But it’s NOT slow for machine learning.
If you use any popular ML framework, 95% of your code is running in C anyways.
It’s hard to beat the development speed of Python, too. So you should probably stick with it.