Category Archives: Data Science

AI Marketing Failure/Follow-up Failure

I’ve received an artificial intelligence (AI) marketing failure in the mail recently. Well, I think it was an AI failure; it sure was a marketing failure.

About a month ago, I received a letter saying that I could save a lot of money on my 15-year mortgage. It gave my current rate, the rate I could get if I refinanced, and the amount of the new payment.

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Artificial Intelligence will NOT take over the World

I recently posted about 4 common AI fallacies or myths regarding artificial intelligence (AI). I wanted to dive a little deeper into some of these myths, and discuss why AI will NOT take over the world.

First of all, it is easy to fear what we don’t really understand, especially when some people push the narrative of computers becoming ‘aware’, which would result in them dominating the human race.

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4 Common AI Fallacies

AI

An article posted on MachineLearningTimes.com discusses 4 common fallacies or myths regarding artificial intelligence (AI). These misconceptions lead to many misunderstandings and fear* regarding AI.

Wikipedia defines AI as “intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality.”

I like Investopedia’s definition better*: “the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.”

In the post, Melanie Mitchell, Davis Professor of Complexity at the Santa Fe Institute and author of Artificial Intelligence: A Guide For Thinking Humans, lists the 4 most common fallacies that I would summarize as follows:

  1. Narrow intelligence (being really good at one task) leads to general intelligence (being good at many things, the way humans are). In other words, computers will become super-smart and take over the world.
  2. Easy tasks are hard to automate/hard tasks are easy to automate.
  3. AI works like the human mind. This comes from using ‘human-y” terms like learn, understand, read, and think, which leads some to believe AI can achieve humanness.
  4. Intelligence is all in the AI brain. In other words, “the right algorithms and data…can create AI that lives in servers and matches human intelligence.”

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How to get a Data Science job with little or no experience

data scientistWhen you’re trying to get a data science job, you need experience, but to get experience, you need a job, right? Not always, and this is the case for many jobs, not just data science.

But in data science, you can generate the experience you need yourself.

You might have seen one of my earlier posts, How to get an IT Audit job with little or no experience. Let me say from the beginning that getting an IT audit job with no experience is easier than a data science job with no experience. But according to an article from KDnuggets, it can be done. And like everything else, it takes hard work.

The article defines data science as “an interdisciplinary field that focuses on solving problems and gathering information.” 

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