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Showing posts with the label machine learning

What is IoT (Internet of Things)? Explained

In today's world everything is becoming smart - smartphones, smart TVs, smartwatches, smartlights and even smart cars. But have you ever wondered how these things become smart? There is only one technology behind all these which is called IoT (Internet of Things) . If you also want to know what is IoT, how does it work, what is its importance in our life, its advantages, disadvantages and what will be the future , then this blog is for you. Here we will explain IoT in simple and long Hindi. What is IoT (Internet of Things)? IoT means - Internet of Things. It is a network in which different devices (like mobile, TV, watch, bulb, fan, car, fridge etc.) are connected to each other through the internet and talk to each other. In simple words - when a simple device connects to the internet and starts sending, receiving and processing data, it becomes a part of IoT. Understand IoT with a simple example There is a smart bulb installed in your house, which you can switch on and...

What is Machine Learning?

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  A fascinating branch of artificial intelligence (AI) is machine learning (ML), which enables computers to learn from data without explicit programming. ML algorithms examine enormous volumes of data, find patterns, and then use the insights to create predictions or judgments rather than depending on predetermined rules. Important Ideas in Machine Learning: Data is King: Data is the cornerstone of machine learning. Diverse, high-quality datasets are essential for building successful models. Images, text, numbers, and other formats can all be included in these databases. Algorithms: To analyze and learn from data, machine learning uses a range of algorithms. These algorithms can be divided into many groups: Supervised learning is the process of teaching models to map inputs to outputs using labeled data. Among the examples are: Regression: Predicting continuous values (e.g., stock prices, temperature). Classification: Categorizing data into different classes (e.g., spam detection...

What's the Difference Between AI and Machine Learning?

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C reating intelligent agents—systems that can perceive their surroundings, learn from past experiences, and make decisions to accomplish certain objectives—is the focus of the large subject of computer science known as artificial intelligence (AI). By essentially imitating human intellect, artificial intelligence (AI) enables robots to carry out activities that otherwise require human reasoning. In contrast, machine learning (ML) is a branch of artificial intelligence that focuses on techniques that let computers learn from data without the need for explicit programming. Machine learning algorithms find patterns in data and use those patterns to anticipate or decide. Use this analogy to demonstrate the distinction: The driver's license is AI: It's the general idea that a computer can carry out tasks in an intelligent manner. The driving skill is machine learning, which is a particular method that allows a computer to pick up driving skills via practice and observation. https://...

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