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We hear a lot about Facebook as a platform for manipulation - using machine learning to bypass our critical faculties and trick us into believing things that are bad for us - but the real show is in Facebook's ability to target, not manipulate.
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More from Cory Doctorow #BLM
Inside: Planet Money on HP's myriad ripoffs; Strength in numbers; and more!
Archived at: https://t.co/esjoT3u5Gr
#Pluralistic
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On Feb 22, I'm delivering a keynote address for the NISO Plus conference, "The day of the comet: what trustbusting means for digital manipulation."
https://t.co/Z84xicXhGg
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Planet Money on HP's myriad ripoffs: Ink-stained wretches of the world, unite!
https://t.co/k5ASdVUrC2
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Back in November, I published an article for @EFF about @HP's latest printer-ink ripoff: after offering its customers a free-ink-for-life plan, it unilaterally switched them all to a $1/month-for-life plan.https://t.co/bsc73xPSuo
— Cory Doctorow #BLM (@doctorow) February 18, 2021
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Strength in numbers: The crisis in accounting.
https://t.co/DjfAfHWpNN
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Accountancy is more likely to be mocked than celebrated (or condemned), but accountants, far more than poets, are the unacknowledged legislators of the world.
— Cory Doctorow #BLM (@doctorow) February 18, 2021
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#15yrsago Bad Samaritan family won’t return found expensive camera https://t.co/Rn9E5R1gtV
#10yrsago What does Libyan revolution mean for https://t.co/Jz28qHVhrV? https://t.co/dN1e4MxU4r
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More from Machine learning
Retweets are appreciated.
[ Thread ]
1. NumPy (Numerical Python)
- The most powerful feature of NumPy is the n-dimensional array.
- It contains basic linear algebra functions, Fourier transforms, and tools for integration with other low-level languages.
Ref: https://t.co/XY13ILXwSN
2. SciPy (Scientific Python)
- SciPy is built on NumPy.
- It is one of the most useful libraries for a variety of high-level science and engineering modules like discrete Fourier transform, Linear Algebra, Optimization, and Sparse matrices.
Ref: https://t.co/ALTFqM2VUo
3. Matplotlib
- Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
- You can also use Latex commands to add math to your plot.
- Matplotlib makes hard things possible.
Ref: https://t.co/zodOo2WzGx
4. Pandas
- Pandas is for structured data operations and manipulations.
- It is extensively used for data munging and preparation.
- Pandas were added relatively recently to Python and have been instrumental in boosting Python’s usage.
Ref: https://t.co/IFzikVHht4
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I wish I had this... — don't excuse yourself. Forget about what you can't and focus on what you can.
Stop comparing yourself to others, come from the point of what you have, know and have: "I can... so I will do..!" #MyMindset
BTW this was an update of one of the previous tweets. And I'm continuing this thread today!
Focus only on positive things! These include what *you* have, know and can do. If you don't have, know or cannot do something either get it or ignore it. Don't think about it and don't use it as an excuse.
— Gleb Sabirzyanov (@zyumbik) October 17, 2018
I've been struggling to follow this principle for a long time. #MyMindset pic.twitter.com/SK5vtwHs3G
Do something for the long-term. Everything else is a distraction. 🛑 Nowadays I always check if the thing I'm doing aligns with my long-term plans. If not — that is probably not the best thing to do at the moment. #MyMindset
The only way to get more done is to have less to do. Eliminate your obligations, say "no" to things that are not important, stay minimal in what you do, focus. Being busy is not equal to getting things done. #MyMindset
Why is this the most powerful question you can ask when attempting to reach an agreement with another human being or organization?
A thread, co-written by @deanmbrody:
Next level tactic when closing a sale, candidate, or investment:
— Erik Torenberg (@eriktorenberg) February 27, 2018
Ask: \u201cWhat needs to be true for you to be all in?\u201d
You'll usually get an explicit answer that you might not get otherwise. It also holds them accountable once the thing they need becomes true.
2/ First, “X” could be lots of things. Examples: What would need to be true for you to
- “Feel it's in our best interest for me to be CMO"
- “Feel that we’re in a good place as a company”
- “Feel that we’re on the same page”
- “Feel that we both got what we wanted from this deal
3/ Normally, we aren’t that direct. Example from startup/VC land:
Founders leave VC meetings thinking that every VC will invest, but they rarely do.
Worse over, the founders don’t know what they need to do in order to be fundable.
4/ So why should you ask the magic Q?
To get clarity.
You want to know where you stand, and what it takes to get what you want in a way that also gets them what they want.
It also holds them (mentally) accountable once the thing they need becomes true.
5/ Staying in the context of soliciting investors, the question is “what would need to be true for you to want to invest (or partner with us on this journey, etc)?”
Multiple responses to this question are likely to deliver a positive result.