Mindblown: a blog about philosophy.
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What do you understand by Artificial Intelligence?
Artificial intelligence is computer science technology that emphasizes creating intelligent machine that can mimic human behavior. Here Intelligent machines can be defined as the machine that can behave like a human, think like a human, and also capable of decision making. It is made up of two words, “Artificial” and “Intelligence,” which means the “man-made…
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Types of Artificial Intelligence:
Artificial Intelligence can be divided in various types, there are mainly two types of main categorization which are based on capabilities and based on functionally of AI. Following is flow diagram which explain the types of AI. AI type-1: Based on Capabilities 1. Weak AI or Narrow AI: Narrow AI is a type of AI…
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History of Artificial Intelligence
Artificial Intelligence is not a new word and not a new technology for researchers. This technology is much older than you would imagine. Even there are the myths of Mechanical men in Ancient Greek and Egyptian Myths. Following are some milestones in the history of AI which defines the journey from the AI generation to…
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Application of AI
Artificial Intelligence has various applications in today’s society. It is becoming essential for today’s time because it can solve complex problems with an efficient way in multiple industries, such as Healthcare, entertainment, finance, education, etc. AI is making our daily life more comfortable and fast. Following are some sectors which have the application of Artificial…
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AI Introduction
The Artificial Intelligence tutorial provides an introduction to AI which will help you to understand the concepts behind Artificial Intelligence. In this tutorial, we have also discussed various popular topics such as History of AI, applications of AI, deep learning, machine learning, natural language processing, Reinforcement learning, Q-learning, Intelligent agents, Various search algorithms, etc. Our AI…
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What are the different types of Algorithm methods in ML?
The different types of algorithm methods in machine earning are: Supervised Learning Semi-supervised Learning Unsupervised Learning Transduction Reinforcement Learning
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How is KNN different from k-means?
KNN or K nearest neighbors is a supervised algorithm which is used for classification purpose. In KNN, a test sample is given as the class of the majority of its nearest neighbors. On the other side, K-means is an unsupervised algorithm which is mainly used for clustering. In k-means clustering, it needs a set of…
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How does ML differ from Deep Learning?
Machine learning is all about algorithms which are used to parse data, learn from that data, and then apply whatever they have learned to make informed decisions. Deep learning is a part of machine learning, which is inspired by the structure of the human brain and is particularly useful in feature detection.
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Differentiate supervised and unsupervised ML ?
In supervised machine learning, the machine is trained using labeled data. Then a new dataset is given into the learning model so that the algorithm provides a positive outcome by analyzing the labeled data. For example, we first require to label the data which is necessary to train the model while performing classification. In the…
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What is the method to avoid overfitting?
Overfitting occurs when we have a small dataset, and a model is trying to learn from it. By using a large amount of data, overfitting can be avoided. But if we have a small database and are forced to build a model based on that, then we can use a technique known as cross-validation. In this…
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