Data Science Vs Artificial Intelligence Vs Machine Learning
- Here is the complete guide about data science vs artificial intelligence (AI) vs machine learning that includes courses, salary and real-time application & more.
Data Science Vs Artificial Intelligence (AI) Vs Machine Learning (ML)
Artificial Intelligence (AI) is the science that makes machines think like humans and makes them capable of making decisions without any human interventions. AI is able to do this with the help of Machine Learning (ML) algorithms. These algorithms are made for the machines to learn from the previous data to be able to forecast trends. Data science on the other hand is an entirely different and much bigger subject. It is a complete process of gathering, analysing, filtering and using relevant data to find solutions to real-world problems and business challenges. AI and ML are just two of the many techniques used in the data science processes. Before we go on a deep analysis of the differences between these three terms, let us first know about each of these three terms clearly to be able to understand the differences between them.
What is Data Science?
Data Science is a process in which huge volumes of raw data is analysed and processed to extract meaningful information to use for various research and business purposes. It is a long process that starts from collecting the raw data (both structured and unstructured). This raw data is analysed and then processed using various tools and techniques. The aim as already stated is to get new results to solve real-world problems and business challenges with the help of the extracted useful insights. The true foundation of Data Science lies not just in Computer Science but also in Statistics, Mathematics, and Business. AI and ML are two important tools that Data Science frequently uses to make predictive analysis.
What is Data Science Used For?
Predictive Analytics- usually used in the retail sector to predict consumer behaviour or forecast demand to improve marketing. Social Research Processes- usually used in online questionnaires. Conversational Chatbots- usually used in online businesses to improve customer service. Recognition Technologies- voice, face, text recognitions to prevent frauds. Decision making systems- devices or systems that are able to automatically make necessary decisions like drones. Recommendation Technologies- like Youtube, Netflix, or Spotify recommends you things based on your past browsing behaviour. Healthcare- used in study of genetic issues using genomic data. Among the applications of Data Science mentioned above, most of them are based on AI. So, let’s now talk about Artificial Intelligence and its applications.
What is Artificial Intelligence (AI)?
The idea of Artificial Intelligence came into being while answering the question- “Can machines think? How can we create an intelligent computer and what will the future look like with intelligent machines?” Artificial Intelligence (AI) is one of the many disciplines of Computer Science. The aim of AI is to make machines think like humans do to make decisions based on the data provided to the machine. AI has been growing exponentially in the past decade. It has already been touching our lives in ways that you might not notice. For example, every time you go on google search, some kind of AI is being used to show you the best results. Every time you ask Siri or Alexa a question, Natural Language Processing and Speech Recognition is being used. The best example of AI would be robots and self-driving cars. So artificial intelligence will probably be one of the biggest scientific breakthroughs in the 21st century. It will give us the power to probe the universe and our humanity with a different approach. AI has the potential of forever changing our humanity.
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