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Buzz words every Data Scientist should know


We hear a lot of buzz words related to AI and Data Science and we often use them interchangeably. This will happen only if we don’t have clarity. In this blog, I will explain some of the popular buzz words that every Data Scientist should understand.

Artificial Intelligence: This is the ability of a machine to understand and complete the tasks without any human intervention. We can say that we have achieved A.I only when we cannot distinguish between a machine and a human. Currently, we are building software/machines that can outperform humans in specific tasks. If we can outperform in all the tasks that a human can perform, then we can say that Artificial Intelligence is achieved.

Machine Learning: Machine Learning is an application of Artificial Intelligence. Using Machine Learning, machines can automatically learn from history and improve based on the experience without explicitly programmed. We use statistical methods to develop robust models using past data. There are many advanced tree-based methods like XGBoost, LightGBM, CatBoost,..etc.

Deep Learning: Deep Learning is a subfield of Machine Learning, in which we develop deep models. This area has been inspired by the neuron structure in the brain. In general, we use Deep Learning to solve text and image-related problems. There has been a lot of research in Deep Learning and different architectures are used for solving different methods. Deep Learning is being used in different fields like Natural Language Processing, Computer Vision, Speech Recognition,..etc. This field is growing rapidly and this is the best time for you to explore if you are interested.

Data Science: Data Science is a mixture of statistics, machine learning, data analysis, computer science and domain knowledge. The main aim is to extract insights and discover hidden patterns from the data and use the information to solve tasks. We use different tools and algorithms to analyze the data and build models.

Big data: As the word describes, the data is very huge and complex. This field deals with huge amounts of data that we cannot process and store using traditional tools. Using Big data technologies, we can process and analyze the data in a more efficient way. Some of the popular Big data tools are Hadoop, Spark,..etc.

This field is evolving at a rapid pace and we should be updated with the latest technology. I hope you got clarity about different buzz words that are used interchangeably. If you have any queries, comment in the comments section below. I would be more than happy to answer your queries.

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Comments

  1. When I decided to learn this theme, artificial intelligence was the most difficult topic for me to understand. Now, I don't have any problems with it.

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  3. Your informative post about buzz words like Machine Learning, Deep Learning, Ai, Data Science & Big Data Science & others is important for a Data Scientist.

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