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How Does Machine Learning Work? | Predictive Analysis | Data Science | ML Model | #shorts

October 30, 2023
in Data Science & ML
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We make use of tech advancements to ease our manual efforts but do you ever wonder how these machines learn? Here’s Sumit Shukla, DSML Educator explaining how machines learn with a very simple and interesting example.

What is Data Science?
Data Science is an interdisciplinary field that involves the use of statistical, computational, and machine learning techniques to extract insights and knowledge from large and complex data sets. It encompasses various stages of data analysis, including data collection, cleaning, processing, modelling, and visualisation.

What is Machine Learning?
Machine Learning is a subfield of Artificial Intelligence that focuses on developing algorithms and models that enable computers to learn from data without being explicitly programmed. It involves the use of statistical and mathematical techniques to enable machines to improve their performance on a specific task through experience.

What is Artificial Intelligence?
Artificial intelligence (AI) is the emulation of human intelligence in devices that have been designed to behave and think like humans. The phrase can also refer to any computer that demonstrates characteristics of the human intellect, like learning and problem-solving.

What is a tech industry?
The tech industry refers to the businesses and organisations involved in the development, design, manufacturing, and distribution of technology products and services, including computer hardware, software, telecommunications equipment, and e-commerce services. It is a rapidly growing and constantly evolving sector with a significant impact on the global economy.

What is software engineering?
It’s a branch of computer science that focuses on designing and developing computer systems and application software.
Software engineers are experts in programming languages, software development, and operating systems and use engineering principles to create software.

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