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Reasoning &

Inference

A Reasoning & Inference course typically teaches you how to think logically, draw conclusions from information, and make sound decisions based on evidence. It sits at the intersection of philosophy, mathematics, computer science, and psychology.

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Course Detail

This course introduces the principles of logical reasoning and inference, focusing on how to analyze arguments and draw valid conclusions from evidence.

Course Features

  • Decision Making & Inference
  • Foundations of Reasoning
  • Probability & Uncertainty
  • Lexical Sense

Lexsense

Semantic Search

Lexsense is a research-driven platform focused on helping computers understand language, meaning, and context. It works at the intersection of AI, linguistics, and data science, especially in fields like NLP, semantic search, and machine learning. 

  • 20 hours on-demand video
  • Full Lifetime Access
  • Access on Mobile and TV
  • Certificate of Completion

Course Content

11 sections • 28 lecture • 19h 33m total length

Introduces the basics of arguments, including premises and conclusions. Explains different types of reasoning like deductive, inductive, and abductive thinking.

Focuses on formal logic, including propositional and predicate logic. Teaches how to analyze arguments using symbols, rules, and truth tables.

Develops the ability to evaluate arguments and identify hidden assumptions. Helps recognize common logical fallacies and flawed reasoning.

Covers how to measure and reason under uncertainty using probability. Introduces concepts like conditional probability and updating beliefs with evidence.

Explains how to draw conclusions from data and evidence. Focuses on making rational decisions in uncertain or complex situations.

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