Andrew Clark
@AndrewClarkDS*Data Science Account* - MS Business Analytics student @ ASU - Teach me something :) Let’s connect!
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One way to think of the Markov assumption: The future is independent of the past, given the present.
I started programming back in 1994, on an IBM XT computer. I started with Turbo Pascal 5.5 and stuck with it until 1999, when I moved to Delphi. Back then, I didn't have Internet. You learned new things by stumbling upon them or talking to the right person (books were scarce.)
You: 1. Didn't prepare 2. Went to interview 3. Scored horribly 4. Went to Twitter 5. Complained about the broken process Also you: 6. Felt good because Twitter agrees 7. Stayed unemployed 8. Repeated all over again The process needs help, but sometimes the problem is *you*.
Many ways u can exploit ML in Real estates industry for example in a big data set you can create recommender model to match people profiles with most suitable houses when they search for
I am still in investigating how #DataScience is being leveraged in the #RealEstate industry. It appears the #Finance industry is much more reliant on #ArtificialIntelligence and #MachineLearning. I need answers why. How can this be exploited?
Here are just a subset of available machine learning algorithms. Yeah, there are many of them! And that's a good thing: we can accomplish a lot without reinventing the wheel. (And no, you don't need to remotely know all of these to be good at doing this.)
Every major cognitive revolution in human history has been triggered by a technological breakthrough that granted a large part of the previously uneducated population access to a new breadth of knowledge and skills.
You need to learn how to teach yourself something before you will be effective at teaching yourself something.
Behind the scenes of my recent informational interviews: Interviewees Me l l \/ \/
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