Applications of AI useful for humans

More from Aditya B

Apr 13


How different is Natural Language Processing from AI

Read more · 9 min read

Apr 13

Models of Machine Learning

Algorithms used in machine learning fall roughly into three categories: supervised, unsupervised, and reinforcement learning. Supervised learning involves feedback to indicate when a prediction is right or wrong, whereas unsupervised learning involves no response: The algorithm simply tries to categorize data based on its hidden structure. Reinforcement learning is similar to supervised learning in that it receives feedback, but it’s not necessarily for each input or state. This tutorial explores the ideas behind these learning models and some key algorithms used for each.

Read more · 11 min read

Apr 13

Machine Learning vs Deep Learning

  • Machine Learning, a subset of AI, uses computer algorithms to analyze data and make intelligent decisions based on what it has learned. The three main categories of machine learning algorithms include Supervised Learning, Unsupervised Learning, and Reinforcement learning.
  • Deep Learning, a specialized subset of Machine Learning, layers algorithms to create a neural network enabling AI systems to learn from unstructured data and continue learning on the job.
  • Neural Networks, a collection of computing units modeled on biological neurons, take incoming data and learn to make decisions over time. …



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Aditya B

Aditya B


Passionate author, strategic investor, financial advisor