Decoding Data Science: A Useful Guide to Basic Terminology (Part 2)

Welcome back to our series on understanding the basics of data science terminology! Learning these key terms is essential for anyone looking to get started in data science, and we’re here to make it easy and accessible for everyone.

Today, we will examine five additional key terms that are essential for navigating the fascinating world of data science.

  1. Artificial Intelligence

AI is the field of creating intelligent machines, including intelligent computer programs. It aims to develop systems that can perform tasks that would normally require human intelligence, such as decision making, speech recognition, and natural language processing.

  1. Machine Learning 

Machine Learning is a subset of AI that allows computers to learn from historical data to make predictions and uncover patterns without being explicitly programmed to do so. It is used in many modern technologies like recommendation systems, search engines, and voice assistants.

  1. Deep Learning 

Deep Learning is a Machine Learning technique inspired by the neural network of our brain. It enables machines to find complex patterns in large datasets by using multiple layers of computational nodes to deliver a final result in the form of a prediction.

  1. NLP (Natural Language Processing) 

NLP is the intersection of Computer Science, linguistics, and AI. It helps computers understand human language and perform language-related tasks, such as speech recognition and text interpretation. NLP enables machines to communicate with humans via natural language, and is used in many modern applications.

  1. Python 

Python is a popular programming language used for data analysis due to its versatility and user-friendliness. Its easily understandable syntax allows for quick and readable implementation of scripts or programs, making it a common first programming language to learn for beginners.

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Daniel Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.


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