Difference Between Machine Learning and Deep Learning

People believe that both these terms are the same but they are actually not. Irrespective of whether someone knows these two terms or not everyone is talking about it, even if we don’t know anything about data science  still each one of us have heard about these two terms.

Before understanding the difference between the two, let us first understand there basics first:

What is Machine Learning?

Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

Source: According To Andrew Ng

Examples of Machine Learning include:

  • Virtual assistants like Siri, Google Now – they assist in finding information, when asked over voice. Machine learning is an important part of these personal assistants as they collect and refine the information on the basis of your previous involvement with them.

  •  The video surveillance system these days are powered by machine learning to detect crime before they happen.

  • Social media platforms are utilizing machine learning for their own and user benefits, for better Ads targeting, people you  may know etc.

 

What is Deep Learning?

Deep Learning

It’s a sub field of machine learning, in deep learning a computer model learns to perform classification tasks directly from images, text, or sound. Models are trained by using a large set of labeled data and neural network architectures that contain many layers.

Deep Learning is the technique for implementing Machine Learning.

Examples of Deep Learning include:

  • NLP (Natural Language Processing), is different from speech recognition because it is not just about mapping speech to words, it is more about extracting meaning from spoken words.

  • Object classification and detection in images.

  • NETFLIX dynamically personalizes layouts and movie thumbnails with the help of deep learning.

Differences Between Machine Learning & Deep Learning

Difference Between Machine Learning & Deep Learning

 

  1. Machine Learning is an approach to achieve Artificial Intelligence.

    Deep Learning is a technique for implementing Machine Learning.

  2. Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned.                                                                                                                   Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own.

  3. Machine Learning comparatively takes much less time to train, ranging from a few seconds to a few hours.

    Deep Learning algorithms take into account so many parameters, they usually take long time to get trained.

  4. In case of Machine Learning there are a few thousand data points used normally for the analysis, work is on low end machines.

    Whereas in case of Deep Learning a million data points are normally used for analysis, work is on high end machines.

  5. Machine Learning makes use of algorithms like KNN, Random Forest, Linear Regression etc.

    Deep Learning interprets the data with the help of neural networks.

 

Conclusion :

After reading this post, you should be familiar with machine learning and deep learning and specifically what is primarily the difference between the two.

If you have any questions, please comment below i will reply back ASAP .

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