Data Science Archives - Robbie Agustin

How AI Bots can beat Humans at Starcraft using Machine Learning (Use Case)

For #transformationtuesdays I’m sharing one of the most common use cases for Machine Learning that a lot of people who are young or young at heart can relate to – computer games.

For today’s example, it’s how AI Bots can be better than humans at playing Starcraft.

Why Starcraft? Because its complexity and the multitude of factors to consider that affect gameplay is closer to the number of factors a human brain considers in real life when making decisions, as compared to other games like Chess for example, where players take turns.

Why is this important? Because implementing Machine Learning Algorithms on games like Starcraft will allow us to learn more about how we can build better Bots that will be applicable to the real world.

Read on for more details and to see the actual use case.

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Artificial Intelligence Basics: What is Machine Learning?

It’s #futurefridays and today we’ll be talking about the basics of Artificial Intelligence.

Previously, I talked about Natural Language Processing, and before that, Computer Vision.

But today we’ll tackle another field of Artificial Intelligence called Machine Learning.

Wikipedia defines Machine Learning as:

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to perform the task. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.

Let me show you some examples of how Machine Learning is being used in real-world scenarios.

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Why AI (Artificial Intelligence) is still considered “Primitive”

For #wisdomwendesdays I’ll be helping shed some light on the fears that have been brought about by the coming of Artificial Intelligence.

Though I’ve mentioned in one of my previous articles that:

“Though we all know that technology is continuously improving. But we shouldn’t put all our trust in it just yet. Yes, Google’s AI has nearly twice the IQ of Siri, but a 6-year-old child is still smarter than both. And even if it does improve further, 75% if customers, like you, still say that they would want to interact with a real person more as technology improves. child.”

I’d still like to talk about this a bit more, especially on why AI is still considered “Primitive.”

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Chat Bots Making Phone Calls on Your Behalf using NLP AI (Use Case)

For today’s #transformationtuesdays we’ll talk about an innovation in AI (Artificial Intelligence), particularly Natural Language Processing.

You know when there are big corporate bosses or entrepreneurs who get to delegate tasks to their Assistants such as booking dinner reservations, hair stylist appointments, and other tasks that would require the Assistant to contact other people to complete the task?

What if you had the power to do all that, without having the need to hire a living breathing Assistant, and all you have to do is command your mobile phone to do those kinds if tasks for you. Wouldn’t that be awesome?

Well that’s exactly what I’ll be showing you today.

You see, Google has been busy developing the next generation Google Assistant, where they have injected it with Google Duplex technology to give it the power to make Phone Calls on your behalf.

Some of you may already know this, but for those who aren’t aware of the existence this technology yet, I’ll share with you (1) The Demo when it was launched, so you know how it works, and (2) Where it is being applied now, and where it will be used next.

And for those who want to know what goes on inside these kinds of Chat Bots, and where Natural Language Processing and AI comes into play, then I’ll break down the bits and pieces for you so you’ll get a better understanding.

Let’s go!

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What is the difference in purpose of Variance and Standard Deviation?

For #wisdomwendesdays I’ve been asked by someone trying to learn Data Science what the difference is between Variance and Standard Deviation in terms of purpose.

For the sake of the uninitiated, I’ll share an article that shows the simplest explanation of what Variance and Standard Deviation are.

Now back to the purpose of each, the easiest analogy I can give you is like how the Red and Blue Pills work in the movie – The Matrix.

Let me explain.

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Use AI to predict Heart Attacks a year before it happens (Use Case)

For #transformationtuesdays I’m sharing how AI is Transforming the way you can determine if you will encounter any health issues in the near future – specifically Heart Attacks.

Read on to see how they made it work.

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DEMYSTIFIED: What’s the difference between Classification and Regression?

For today’s #futurefridays I’m going to answer a question that confuses a lot of people trying to learn Data Science and Machine Learning.

The question is “What’s the difference between Classification and Regression?”

Let me give a shot at this with a simple explanation and example.

Think about the output that you want to achieve.

If you have a dataset, and the output you want to get are labels or categories, then it’s classification.

However if the output you want to get is a numerical value based on computations done on the dataset, then it’s regression.

Let me give you a specific example.

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Turn Your Car into a 600hp Electric Vehicle in 2020

For today’s #futurefridays, the car enthusiast in me has its juices flowing.

With all they hype about the new Cybertruck, people either love it or hate it. And the hate is mostly about the design.

So what if you can pick any car you want, based on how you like the design, and then just make it go electric. Wouldn’t that be awesome?

That’s exactly what the wizards at Stard Advanced Research and Development in Austria have done.

And it’s going to go full swing in 2020 racing at the World Rallycross Championship.

Imagine having the power to go 0-60 in 1.8 seconds. That’s faster than an F1 car!

The kit that they’ve developed has an all-wheel-drive drivetrain powered by 3 electric motors – 1 in front and 3 at the back, giving the car a total of 600hp, and a staggering 1100N-m of torque instantly available within 1 millisecond.

Even private teams can build their own electric rallycross cars based on the kit technology and the technical systems provided by Stard for a full and practical integration into these cars.

Check out the video. If you’re a true car guy, it’s going to be one of the best 4 minutes and 17 seconds of your life. You’ll thank me later.

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How Jamen went from Zero Experience to becoming a Data Scientist (Success Story)

It’s #transformationtuesdays where I share use cases and success stories that you can learn from, and replicate too!

If your dream is to become a Data Scientist, and you’re wondering what you need to do, and what it would take to break into one of the most sought-after jobs of the future, then this article is for you.

Today, I’m sharing the success story of Jamen Long, and how he broke into his career as a Data Scientist.

And like you, he started with zero experience.

If you’re interested to find out exactly what Jamen did, then read on.

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