Introduction to AI and Machine Learning (ML001-C)

Source: Deep Learning on Medium

Introduction to AI and Machine Learning (ML001-C)

(Relationship between Artificial Intelligence, Machine Learning and Data Science (A))

Now, let’s move ahead and understand the relationship between Artificial Intelligence, Machine Learning and Data Science.

Even these terms Artificial Intelligence, Machine Learning and Data Science fall in same domain and are related to each others. They have their specific applications and meaning. Let’s try to understand a little about each of these terms.

  • Artificial Intelligence System mimics human Intelligence.
  • Machine Learning provides systems having ability to automatically learn and improve from the experiences without being explicitly programmed.
  • Data Science is an umbrella term that recompenses data analytics, data mining, machine learning, artificial intelligence and several other related disciplines.

Let’s look at the flow diagram and try to understand the relationship between Artificial Intelligence, Machine Learning and Data Science.

Flow Chart

Interestingly, machine learning is also an element of Artificial Intelligence. So, the first step is data gathering and data transformation. This step basically comes under data science. Data transformation is the process of converting data from one format or structure into other format or structure. Data transformation is important in activities such as data management and data integration. After gathering data we would like to use the data to make prediction and derive insights. In order to get predictions out of the data sets we use machine learning techniques such as supervised learning or unsupervised learning. On an overview level supervise and unsupervised learning are the machine learning techniques used to extract predictions from given data sets. Now, you must be thinking where Deep Learning comes into the picture. Deep learning is a sub field of machine learning involved with algorithms which uses Artificial Neural Networks. Deep learning is most effective when there isn’t clear structure to the data that you can just explain the features around. Now, next step in the flow diagram is to get insights from predictions being made. In order to do so you need to use Data Analysis which actually is the process under data science. Now, when you are done with all of these you must wanted to data perform some actions. This is where AI comes into the picture. Artificial Intelligence combines predictions and insights to perform actions based on the human decision and automated division.