In this article, you will learn about the KNN algorithm, Decision tree algorithm and Reinforcement learning algorithm. They are the four most common types of machine learning algorithms. Each one has its own benefits and disadvantages, and it is important to understand these differences. You will be able to understand what each one is and how you can use them to solve business problems. Comment below if you have questions.
Decision tree algorithm
A decision tree uses mathematical algorithms to classify data. It divides the data into sub-branches by its attributes. A decision tree is useful for both binary and multiclass classification. It divides the feature area into groups based only on one characteristic. The first step to a decision tree's creation is to define the overarching objective. It is often the best algorithm to solve binary classification problems.
The Naive Bayes algorithm
The Naive bayes algorithm is a popular method for binary classification and multiclass. But it has drawbacks, such as the inability to calculate numerical precision and the assumption of equal contributions from all attributes. This assumption is incorrect in the real world. Bayes' Theorem, a similar concept, is used to calculate the likelihood of an event given input. It is not suitable for all situations.
KNN algorithm
KNN algorithms can be used to classify datapoints based on how far they are from their nearest neighbors. Generally, data points are classified into one of three classes based on their distance from three other points in the same set. The algorithm compares the distances between the points to create an estimate of the distance. Based on the distance between two points, point Xj can be classified as either a W1 (red), or W3 (green).
Reinforcement learning algorithm
One of the most widely used methods to indicate the computer's imagination is the Reinforcement Learning algorithm. This method makes use of thousands of side games in order to create a model for how a program should behave under certain circumstances. The computer can use this algorithm to learn which strategies are more likely in a variety situations to win or lose. Google's AlphaGo has surpassed the world's best Go player in numerous competitions, proving that this type of learning algorithm is possible.
Random decision forest algorithm
Random Forest is a popular option for building decision trees using bootstrapped datasets or randomly selected subsets. The square root of the number of features in an original dataset determines the number of decision trees. You can tune this number in many ways for maximum performance. The Random Forest algorithm usually selects six features from a training dataset. Normally, the number of trees chosen is set to produce a distribution that reduces the impact of changing information on the model's structure.
FAQ
Is there another technology that can compete against AI?
Yes, but it is not yet. Many technologies exist to solve specific problems. But none of them are as fast or accurate as AI.
Is Alexa an artificial intelligence?
Yes. But not quite yet.
Amazon developed Alexa, which is a cloud-based voice and messaging service. It allows users to interact with devices using their voice.
The Echo smart speaker first introduced Alexa's technology. Other companies have since created their own versions with similar technology.
These include Google Home and Microsoft's Cortana.
What is AI good for?
AI serves two primary purposes.
* Predictions - AI systems can accurately predict future events. A self-driving vehicle can, for example, use AI to spot traffic lights and then stop at them.
* Decision making – AI systems can make decisions on our behalf. As an example, your smartphone can recognize faces to suggest friends or make calls.
What are some examples AI applications?
AI can be applied in many areas such as finance, healthcare manufacturing, transportation, energy and education. These are just a few of the many examples.
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Finance - AI has already helped banks detect fraud. AI can identify suspicious activity by scanning millions of transactions daily.
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Healthcare – AI is used for diagnosing diseases, spotting cancerous cells, as well as recommending treatments.
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Manufacturing - AI is used in factories to improve efficiency and reduce costs.
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Transportation – Self-driving cars were successfully tested in California. They are currently being tested all over the world.
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Utilities can use AI to monitor electricity usage patterns.
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Education - AI is being used in education. Students can communicate with robots through their smartphones, for instance.
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Government - Artificial Intelligence is used by governments to track criminals and terrorists as well as missing persons.
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Law Enforcement – AI is being used in police investigations. The databases can contain thousands of hours' worth of CCTV footage that detectives can search.
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Defense - AI can be used offensively or defensively. It is possible to hack into enemy computers using AI systems. Defensively, AI can be used to protect military bases against cyber attacks.
Statistics
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
- The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
- While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
- In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
External Links
How To
How to set up Cortana Daily Briefing
Cortana is a digital assistant available in Windows 10. It's designed to quickly help users find the answers they need, keep them informed and get work done on their devices.
The goal of setting up a daily briefing is to make your personal life easier by providing you with useful information at any given moment. Information should include news, weather forecasts and stock prices. It can also include traffic reports, reminders, and other useful information. You can choose the information you wish and how often.
Win + I, then select Cortana to access Cortana. Select Daily briefings under "Settings", then scroll down until it appears as an option to enable/disable the daily briefing feature.
If you have the daily briefing feature enabled, here's how it can be customized:
1. Open Cortana.
2. Scroll down to section "My Day".
3. Click the arrow near "Customize My Day."
4. Choose which type you would prefer to receive each and every day.
5. Modify the frequency at which updates are made.
6. Add or remove items from the list.
7. Save the changes.
8. Close the app