A Quote by Carly Fiorina
There's a whole company called Palantir that does nothing but derive and create algorithms riches to search through big data. We're not using their capabilities. For heaven's sake, some of this is just ineptitude.
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Let's look at lending, where they're using big data for the credit side. And it's just credit data enhanced, by the way, which we do, too. It's nothing mystical. But they're very good at reducing the pain points. They can underwrite it quicker using - I'm just going to call it big data, for lack of a better term: "Why does it take two weeks? Why can't you do it in 15 minutes?"
When we miss with all the metadata collection we've had, the San Bernardino couple and the Tsarnaev brothers, what that suggests to me is that we are using the wrong algorithms to search through all this data.
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.
In the U.S., you even lose legal rights if you store your data in a company's machines instead of your own. The police need to present you with a search warrant to get your data from you; but if they are stored in a company's server, the police can get it without showing you anything. They may not even have to give the company a search warrant.
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.
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.
Even companies that do big business online struggle to be noticed by Google users. The Web, after all, is home to some 120 million Internet domains and tens of billions of indexed pages. But every company, big or small, can draw more Google traffic by using search-engine optimization - SEO, for short.
Proust writes, he remembers, physically. He depends on his body to give him the information that will bring him to the past. His book is called 'In Search of Lost Time,' and he does it through the senses. He does it through smell. He does it through feeling. He does it through texture. It is all physically driven, that language.
Competitors argue that Google rigs its search algorithms to demote listings for competing search engines. Many of the allegations of demotion come generally from sites of pretty questionable quality, such as Nextag and Foundem. Some of Google's primary competitors in 'specialized search' clearly place well in search results - Amazon and Yelp.
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.
Genetic algorithms (GAs) are defined as search procedures based on the mechanics of natural selection and genetics, and we think we know what innovation is - at least in some sort of qualitative way - but what does one have to do with the other?
In the US, you even lose legal rights if you store your data in a company's machines instead of your own. The police need to present you with a search warrant to get your data from you; but if they are stored in a company's server, the police can get it without showing you anything.
Outlook 2003 did create the idea of search folders and the whole Longhorn philosophy. You can see it at work in search folders, where instead of having to drop things into individual folders, and things exist only in one folder, you create these search folders and you have the criteria for the search folder.
Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge. That's fine.
The company started in the early 90s or late 80s. We were a behavioural science company. We didn't pivot into data analytics till 2012. So, all the data that we collected pre-2012, which was done by the British company SBL group, was collected through quantitive and qualitative research on the ground.
My best album is called In Search Of A Song. That was my best shot right there. My finest hour, as they say. I could listen to the whole thing all the way through. There's nothing really crammed into it.
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