What Are The Differences Between Machine Learning And Deep Learning?

Firstly, we need to know what is Machine Learning.

Machine Learning is a branch of Computer Science where it provides algorithms the ability to run and learn themselves from the data/experience it has. It does tweaks itself based on past experiences to find accurate results. It needs data that is used for structured/labeled form. It is a subset of AI(Artificial Intelligence).

Deep Learning is similar to Machine Learning but it has multiple layers of neural networks where each layer consists of algorithms. Deep learning algorithms can learn themselves without human intervention. This can have any form of data for training and it also results from It is a subset of Machine Learning which in turn is a subset of AI. Deep Learning is inspired by the human brain's neural network. It works similar to the human brain which makes it a trustworthy technology.

Major Differences between Machine Learning and Deep Learning are:

Human Involvement:

In Machine Learning algorithms a human needs to identify and hand-code the applied features based on the data type but DL doesn't need to have human intervention as it works with neural networks which is the same way how human brain interprets. It will learn and modify itself over time with the data collected.

ML algorithms must learn to process by understanding labeled data and then use it to produce new results. However, if the result is wrong, there is a need for human intervention. Deep learning networks do not require human intervention, as multilevel layers in neural networks place data in a hierarchy of different concepts, which ultimately learn from their own mistakes. However, even they can be wrong if the data quality is not good enough.

Internal structure and working:

Machine Learning represents data in form of structured data whereas Deep Learning use ANN- Artificial Neural Networks where each neural network outputs certain results and fed them into the next layer as input. In the end, the algorithm decides the result deriving from these outputs.

ML uses different types of automated algorithms that turn to model functions and predict future action from data. DL uses neural networks that pass data through processing layers to interpret data features and relations.

ML consists of thousands of Data points and It cannot be used for complex problems but Deep Learning consists of millions of Data points and has layers, hierarchies due to which complex problems can be solved using this.

Machine Learning does not require a huge amount of data for performing algorithms and also it doesn't need powerful hardware but Deep Learning needs a large amount of data as neural networks have to compute a significant number of weights. So it requires powerful hardware like GPU processors. You can learn more about this in Online Machine Learning Training.

Time for Processing

Deep Learning has to perform complex mathematical operations with many parameters involved and it has huge datasets to process which makes it obvious that it might take a long time to train. it may vary from hours to few weeks but ML systems can be trained within few seconds to few hours. More details of differences of both in time constraints can be learned from Machine Learning and Deep Learning Training.

Applications:

While ML has applications such as weather prediction, stock price prediction and inflation, email spam identifiers, etc. DL has more advanced applications such as systems of self-driving cars, facial recognition, voice recognition, and music streaming services, etc.

Conclusion:

Although they look similar, above are the main differences between them.

Undoubtedly ML, DL, AI are the top emerging technologies in today's world and professionals in this field are getting paid large packages because of its demand. If you are interested and want to choose your career it then you are in the right direction.

There are various platforms where you can start your career in DL and ML. You can take up Machine Learning online training or Deep Learning online training. You may check out EasyLearning's Machine Learning Online Training Course and EasyLearning's Deep Learning Course if interested. Researches on AI are increasing making it the most trending technology now and it is advancing so rapidly which shows it will create many opportunities in the future.