AI vs Machine Learning vs Deep Learning: What’s the Difference?

A non-tech person can hardly see the difference between some modern technologies we use currently in our day-by-day lives. Such technologies like AI (artificial intelligence), ML ( machine learning), and DL (deep learning) imperceptibly make our lives easier and comfortable. In our article, we have collected information about these technologies and their differences.

Top business needs that AI can support:

• Automate business processes;
• Collect and analyze data;
• Engage with customers or employees.

Artificial Intelligence works with:

• General Intelligence;
• Learning;
• Nature language processing;
• Knowledge representation;
• Planning;
• Reasoning;
• Problem-solving;
• Social intelligence.

We can indeed say that Machine Learning and Deep Learning are branches of Artificial Intelligence. Without AI, there would be no others. Machine Learning is based on the idea that systems can learn from collected data, identify patterns, and make decisions with minimum human interruption.

Applications of Deep Learning In Industries:

• Financial;
• Healthcare;
• Government;
• Oil and gas;
• Transportation;
• Retail.

Deep learning and Machine Learning have different capabilities, even though they are based on artificial intelligence principles. Deep Learning is a large neural network. In recent times, DL is getting lots of attention because of results that were not possible before.

Industries where DL is using:

• Cybersecurity;
• Healthcare;
• Social media;
• Oil and gas;
• Finance;
• Construction.

Thanks to AI, ML, and DL we have many great applications that are changing the world of technology. Follow the guide to learn more.

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