In today’s time, when everyone from little kids to old grandfathers is aware of Artificial Intelligence, or AI. With technological advancements, we are aware of various technological concepts, thanks to the glorification and use of technology in various sectors.
Let’s take a look at these concepts called Machine learning and Deep learning. Before starting with these concepts, let's take a look at what AI is.
Artificial Intelligence, or AI, is copying or acting like human intelligence and its interactions. This concept has two little subtopics: Machine Learning and Deep Learning. The goal of AI is to successfully undertake solutions relating to solving problems, interacting, and analyzing. AI can be used in various sectors such as:
AI in Customer Service – Customer service teams can make use of AI to understand the workflow, improve management, and guide the staff.
AI in Healthcare – AI can be used in healthcare to assist in providing appointments and also help with billings.
AI in Retail –Using AI in the retail sector to provide with shopping experience according to your needs, process your orders, and get updates related to your order.
What is Machine Learning?
Machine learning, or ML, is a subfield, a factor of Artificial Intelligence. It focuses on the development of algorithms and statistical models that help make your computers predict or make decisions without being otherwise programmed.
ML needs human engineers to feed it relevant data. It is studying large dataset algorithms and identifying patterns and correlations, and then identifying the patterns to predict regarding the decisions of new data.
What is Deep Learning?
Deep learning is also a subset of machine learning that makes use of artificial neural networks to autonomously learn and make intelligent decisions and predict with accuracy without human interaction, as deep learning continuously analyzes data. They build extensive knowledge and conclude by analyzing information and determining an answer. Just like the human brain is connected to the neural network.
The Difference Between Deep Learning and Machine Learning
1) Machine Learning and Deep Learning both have the potential to transform a wide range of industries, including healthcare, Retail, and Customer service, providing insights and helping with better decision making.
2)Machine Learning is a subfield of Deep Learning.On the other hand Deep Learning is a subfield of Machine Learning.
3)Machine Learning is different compared to Deep Learning as it uses structured data.On the other hand Deep Learning is different as it uses neural networks.
4)Machine Learning is an evolution of AI On the other hand Deep Learning is the evolved version of Machine Learning. It is basically how deep the machine learning is.
5) Machine Learning consists of thousands of data points.On the other hand Deep Learning consists of millions of data points.
6)Machine Learning uses various automated algorithms that turn model functions and predict future actions from data.On the other hand Deep Learning uses a neural network that passes data through various processing layers to interpret data.
7)Machine Learning involves training algorithms to identify patterns and relationships in data.On the other hand Deep Learning uses complex neural networks with multiple layers to analyze more complex patterns and relationships.
Which one should you choose?
- If you have limited data
- Lower computational resources
- A need for model interpretability
- Large and complex database (images, videos)
- Access to powerful hardware
- A requirement for high accuracy in tasks like vision and speech
* You should choose Machine Learning:
* You should choose Deep Learning:
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