I'm sad to watch many developers working 80-hour weeks to get one inch ahead of everyone else.
And yet, they are missing the biggest opportunity of their lives right under their noses.
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Today, you don't leap ahead by learning another framework, watching another tutorial, or building another web page.
That's incremental improvement. Important, but not extraordinary.
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Hours don't mean anything, and everything you add to your portfolio will be obsolete in the next couple of years.
What's really going to move the needle is the impact of your work. It's how you change and influence those around you.
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You don't get extraordinary results by doing ordinary things, no matter how many of them you do.
You need to play a different game.
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Have you seen how much data we have collected about literally every single shit around us?
Think about this.
In 100 years, people will be able to look back and reproduce our world piece by piece.
Every. Single. Thing. is sitting today in a database somewhere.
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And this represents one of the most extraordinary opportunities for anyone paying attention.
We desperately need people that:
β«οΈ Process that data
β«οΈ Curate it
β«οΈ Capture more of it
β«οΈ Transform it
β«οΈ Expand it
β«οΈ Interpret it
We need people capable of understanding it!
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Where do you think the most extraordinary achievements in the next 50 years will come from?
I can definitely tell you that, whatever they are, they'll be fueled by the knowledge we have accumulated and our ability to get insights that drive change.
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Don't wait for somebody to give you permission.
The data is there, and now it's up to us to do something good with it.
The trick is to move from a tool-focused mindset to a value-driven one:
β«οΈ What can you do to tap into what's sitting in front of you?
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If you are a JavaScript developer or a mobile developer. If you build web pages or cloud applications. Whoever you are and whatever you do:
Data is the fuel that's changing humanity.
Don't miss it.
This is your ticket. This will set you apart.
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We can do this shit together!
Follow me, and every week I'll help you navigate this thing from doing it, failing at it, learning, and fixing it.
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25 popular libraries and frameworks for building machine and deep learning applications.
Covering:
β«οΈ Data analysis and processing
β«οΈ Visualizations
β«οΈ Computer Vision
β«οΈ Natural Language Processing
β«οΈ Reinforcement Learning
β«οΈ Optimization
A mega-thread.
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(1 / 25) TensorFlow
TensorFlow is an end-to-end platform for machine learning. It has a comprehensive, flexible ecosystem of tools and libraries to build and deploy machine learning-powered applications.
(2 / 25) Keras
Keras is a highly-productive deep learning interface running on top of TensorFlow. It provides essential abstractions and building blocks for developing and shipping machine learning solutions with high iteration velocity.
I have not seen any proof that Twitter "kills your content" if you include links to your tweets.
Here is the result of a very unscientific experiment: comparing my top 10 tweets with and without links.
If you have something concrete, please let me know.
This is anecdotal evidence at best.
It doesn't prove that Twitter doesn't mess with your links, but it does suggest that βif anything is going onβ it is much more subtle than what some believe.
I haven't found any documentation either.
This is what I do know:
Breaking the links that you add to your tweets is self-serving: it makes it worse for the people who follow you. They can't just click to get the content.
I can't see how this will make your content better in any way.