Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science

What is Artificial Intelligence?

As we step into a world fascinated by and obsessed with the term “Artificial Intelligence”, it becomes much easier to throw it around. But these are concepts that work together to invent a better, smarter world that is also more productive.

  • Reasoning and Problem Solving
  • Knowledge representation
  • Planning
  • Learning
  • Natural Language Processing (NLP)
  • Perception
  • Motion and Manipulation
  • Social Intelligence
  • General Intelligence

What is Machine Learning?

“Hey Siri, what is Machine Learning?”

  • Supervised and semi-supervised learning
  • Unsupervised learning
  • Reinforcement learning
Teaching Siri, virtual assistant, to correctly pronounce a name
  • Collecting data
  • Filtering data
  • Analyzing data
  • Training algorithms
  • Testing algorithms
  • Using algorithms for future predictions

What is Deep Learning?

Deep Learning is an approach to Machine Learning; one that focuses on learning data representations rather than on task-specific algorithms. It makes use of Deep Neural Networks, which are inspired by the structure and function of the human brain.

Neurons in our brain vs an Artificial Neural Network

What is Data Science?

Data Science is the term for a whole set of tools and techniques by which to analyze data and extract insights from it. It makes use of scientific methods, processes, and algorithms to make this happen.

  1. Discovery
  2. Data preparation
  3. Model planning
  4. Model building
  5. Communicating results
  6. Operationalizing

Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science

Let’s discuss deep into ai vs machine learning vs deep learning vs data science:

Artificial Intelligence

Artificial Intelligence is the intelligence that machines can portray- they can think and act like humans. They can perform logical reasoning, learning, and also self-correction. AI can make predictions and take decisions. The takeaway here is that it can act. It only leaves us to wonder- can AI learn to feel? Can it learn to love?

Samantha, the AI system

Machine Learning

Machine Learning is giving machines the ability to learn by training algorithms with huge amounts of data. This is great for making predictions. For instance, if you show one such algorithm enough pictures of a puppy, it will identify one in a picture it has never seen before. Try it with pictures of Chihuahuas and those of muffins, or with pictures of white Pulis and those of mops.

Machine Learning — Image Recognition
High-res picture of a fake person, generated using a GAN

Deep Learning

Likewise, Deep Learning is an approach to ML itself and claims to benefit it. Deep Learning makes use of Deep Neural Networks, inspired by the structure and function of the human brain. These networks are made of multiple layers that data must pass through before producing the output. Deep Learning improves AI by enabling many of its practical applications- DL makes it possible.

AI vs ML vs DL vs DS

Data Science

It is a field concerned with extracting insights from data by making use of scientific methods and algorithms so businesses can benefit. Data Science uses Machine Learning to analyze data and make predictions; this can also be used in utilitarian prospects. Data Science combines ML with Big Data analytics and cloud computing. It focuses on solving real-world problems and always has a human involved (unlike AI, where it is the AI that takes the action). As is apparent in the diagram, it has much in common with all of Artificial Intelligence, Machine Learning, and Data Learning.

Summary for AI vs ML vs DL vs DS

Now you know to tell these technologies apart, and understand how they work together. What are your thoughts on what this could mean for jobs and the entire human race?



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Rinu Gour

Rinu Gour


Data Science Enthusiast | Research writer | Blogger | Entrepreneur