Artificial Intelligence vs Machine Learning vs Data Science: The difference

Modern technologies like artificial intelligence, machine learning, data science have become popular but no one completely understands it. They appear to be extremely complicated to a layman. All these popular terms sound like a business executive or a student from a non-technical background. People often get confused by words like AI, ML and data science. In this blog, we clarify these technologies in basic words so you can easily distinguish them and how they are being used in business. Let us discuss Artificial Intelligence vs Machine Learning vs Data Science.

What’s Artificial Intelligence?

Artificial Intelligence

The main purpose for artificial intelligence is to impart human intelligence to machines. Artificial intelligence can relate to anything – from applications for playing chess to speech recognition systems. Just like the Amazon Alexa voice assistant, which recognizes speech and answers questions. Artificial intelligence focuses on making smart devices that think and act like people. These devices are trained to solve issues and learn in a superior manner than humans do.

AI application examples include:

• Game-playing algorithms (like Deep Blue)
• Robotics and control theory (motion planning, walking a robot)
• Optimization (like Google Maps creating a route)
• Natural language processing
• Reinforcement learning

Best example of AI implementation is self-driving cars and robots. What’s more, here’s the manner by which Amazon utilizes brilliant robots. Amazon Prime used to be fueled by individuals whose occupations rotated around getting items from distribution centers to clients’ doorsteps. Artificial intelligence specialists work with AI frameworks like Pytorch and Torch, TensorFlow, Caffe, Chainer, and lots of others.

What is Machine Learning?

Machine Learning

Machine learning is one of the areas of artificial intelligence. It’s the science of getting computers to learn and also act like people do and improve their learning after some time in an autonomous fashion. Rather than writing code, you feed information to the generic algorithm, and it builds its logic based on that information. Basically, in ML, computers learn to program themselves. ML makes programming more scalable and helps us to deliver better results in a shorter time. 

How companies use machine learning? 

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Artificial Intelligence and Machine Learning: A Comparison

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Artificial intelligence and Machine Learning is an innovation to ease the human life. Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Even more, the community think that artificial intelligence and machine learning are the same thing. But the fact is that, Machine learning is a subset of Artificial Intelligence.

What is Artificial Intelligence?

The term Artificial Intelligence is a combination of two words- ’Artificial’ and ‘Intelligence’. Where as, Artificial means man made and intelligence means the ability to think or understand. Artificial intelligence is not a system. AI is implemented in the system. Artificial Intelligence is a science fiction. It is a part of our daily life. By using AI, systems will be able to perform a task that usually we require to perform effectively. For eg., translation between languages, decision making, speech recognition, image processing.

AI can be a study of how to train the computers so that it can do things that at present human can do better. Whenever a machine completes tasks based on a set of predefined rules that solve problems (algorithms), such an “intelligent” behavior is called artificial intelligence. AI means to actually replicate a human brain. This replication is similar to the way a human brain thinks, works and functions. One of the example of AI is Sophia. Sophia is the most advanced AI model present today.

What is Machine Learning?

Machine Learning is a subset of Artificial Intelligence. In short it is a technique for realizing AI. It explores the development of algorithms that learn from given data and also teach themselves to adapt the current new situation and perform specific tasks. In machine learning, machines can learn by itself without being explicitly programmed. Training in machine learning includes giving a lot of information to the algorithm and also allowing it to learn more about processed information. It also involves making of self learning algorithms.

Key Differences between Artificial Intelligence and Machine Learning-

1. Systems including AI, performs a different tasks depending on algorithms provided. Machine Learning is a subset of AI and its concept allows machines to obtain not only data sets but also to learn themselves to perform a task.
2. Artificial intelligence allows computers to behave like humans. While, machine Learning is the finding rules for optimal behavior and also adapting changes in the world.
3. The goal of Artificial Intelligence is to solve a complex problem. And the goal of Machine learning is to learn from data on certain task. This increases the performance of machine about the task.
4. AI is related to making intelligent systems (that can plan, learn, act and can also to recognize). These systems includes machine intelligence, intelligent communities and also the artificial awareness. ML is machine controlled feature learning. It mechanically discover the representations required for classification from data, real world knowledge as pictures, video and also the device knowledge.

Comparison- Artificial Intelligence vs Machine Learning

Artificial intelligence	Machine Learning
1. AI is used to build a system that works like a human.	1. ML involves creation of self learning algorithms.
2. AI works as a computer program that does smart work.	2. ML follows a concept that machine takes data and also learn from the data.
3. The aim is to increase chances of success and not accuracy.	3. The aim is to increase accuracy, but it does not care about success.
4. AI is decision making.	4. ML is to learn from data of a specific task to maximize the performance of machine in that task.
5. AI can be used to find the best answer.	5. ML can be used to solve a question, whether the answer will be best or not.
6. AI leads to intelligence	6. ML leads to data.
7. AI is a higher cognitive process.	7. ML allows the system to be told new things from knowledge.

What can machine learning do?

ML allows computers to look at text and determine whether the content is positive or negative. They can figure out if a song is more likely to make people sad than happy. Some of these machines can make their own compositions with themes. This will be based on a piece they’ve listened to.

Another major, application of machine learning is in communication with people. The field of AI called natural language processing heavily uses machine learning. This will someday allow companies to offer automated customer service. These services are as useful as human customer support.

Final Words-

In this AI world, we are going to develop a human like AI. We are moving towards the goal with a speed. In recent years, we can see more changes in AI. ML is a subset of AI. Also, these technologies will have a great future in recent years. Human life is becoming easier with the help of AI and ML.

Here you get to know more clear difference between Artificial Intelligence and Machine Learning. If you want to incorporate artificial intelligence and machine learning into your business Contact us. We are always ready to help you through our expert’s team.