A Quote by Hannah Fry

Algorithms and data should support the human decision, not replace it. — © Hannah Fry
Algorithms and data should support the human decision, not replace it.
Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.
Watson augments human decision-making because it isn't governed by human boundaries. It draws together all this information and forms hypotheses, millions of them, and then tests them with all the data it can find. It learns over time what data is reliable, and that's part of its learning process.
The key to a solid foundation in data structures and algorithms is not an exhaustive survey of every conceivable data structure and its subforms, with memorization of each's Big-O value and amortized cost.
AIs are only as good as the data they are trained on. And while many of the tech giants working on AI, like Google and Facebook, have open-sourced some of their algorithms, they hold back most of their data.
Once you see the problems that algorithms can introduce, people can be quick to want to throw them away altogether and think the situation would be resolved by sticking to human decisions until the algorithms are better.
More data beats clever algorithms, but better data beats more data.
This was not a decision made with the Israelis. This was a decision by the president for the American people. And so, it was a decision that we all said Jerusalem should be the capital and the embassy should be there. This decision should not weigh in on the peace process.
But for me, true art can't be created by accident. There are boundaries to the reach of algorithms. Limits to what can be quantified. Among all of the staggeringly impressive, mindboggling things that data and statistics can tell me, how it feels to be human isn't one of them.
If a woman makes a unilateral decision to bring pregnancy to term, and the biological father does not, and cannot, share in this decision, he should not be liable for 21 years of support... autonomous women making independent decisions about their lives should not expect men to finance their choice.
We dont have better algorithms, we just have more data
We should always be suspicious when machine-learning systems are described as free from bias if it's been trained on human-generated data. Our biases are built into that training data.
Data science is the combination of analytics and the development of new algorithms.
As a digital technology writer, I have had more than one former student and colleague tell me about digital switchers they have serviced through which calls and data are diverted to government servers or the big data algorithms they've written to be used on our e-mails by intelligence agencies.
So as soon as you want something to happen you begin skewing the data to support it. Our stuff is invaluable to decision-makers precisely because we have no ax to grind.
If a woman makes a unilateral decision to bring pregnancy to term, and the biological father does not, and cannot, share in this decision, he should not be liable for 21 years of support. Or, put another way, autonomous women making independent decisions about their lives should not expect men to finance their choice.
Analytical software enables you to shift human resources from rote data collection to value-added customer service and support where the human touch makes a profound difference.
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