Machine Learning and Deep Learning.

Yesterday I shared about the difference of Business Intelligence and Business analytics, today we touch on another subject that has got many confused, “Deep Learning and Machine learning”. To most people the both seem to be interchangeable buzzwords especially in the field of AI. That, however, is not the case. As a result, anyone interested in learning more about artificial intelligence should start by learning the concepts and distinguishing between them. The good news is that it's not as complicated as I found out, when I started reading up on the subject.

Let me explain, deep learning is a specialised subset of machine learning, which is a subset of artificial intelligence, to put it in a single line. Deep learning is, in other words, machine learning.

The term "machine learning" refers to the process through which computers learn from data. It refers to the intersection of computer science and statistics, in which algorithms are utilised to do a given task without being explicitly coded; rather, they recognise patterns in data and generate predictions as new data enters. Depending on the data used to feed the algorithms, the learning process for these algorithms can be either supervised or unsupervised.

Now what about Deep learning

Traditional machine learning approaches succumb to environmental changes, whereas deep learning adapts to these changes and improves the model through regular feedback. Neural networks, which imitate neurons in the human brain and integrate multiple-layer design, aid deep learning (few visible and few hidden).

Consider building a programme that can tell the difference between an apple and an orange. Although it may appear to be an easy process, it is in fact a difficult one because we cannot design a machine to recognise the difference simply by looking at it. Humans can, but machines can't! So, if we were to programme, we would give a few apple and orange criteria, but it would work for basic and clear photos like these. The machine would most likely be perplexed! Deep learning enters the scene at this point. A traditional machine learning method assists a machine in efficiently performing only a defined set of instructions and becomes untrustworthy when additional variables are added into the system. Deep learning enables a computer to adapt to its surroundings and cope with constant changes.

To Summaries

Deep learning is a type of machine learning that comes in helpful when dealing with unstructured and massive amounts of data. As a result, deep learning can handle a wider range of issues with more ease and efficiency.