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Conditionals

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May 1, 2024 Updated May 8, 2025 22 minute read
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Conditionals in Programming: A Comprehensive Guide

Conditionals are fundamental building blocks in the world of programming, acting as the decision-making mechanisms within software. At a high level, they allow a program to perform different actions or compute different values based on whether a specific condition evaluates to true or false. This capability is what imbues software with the ability to react to varied inputs, adapt to changing circumstances, and execute complex logic, moving beyond simple sequential instruction execution.

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Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Conditionals.
An Introduction to Conditional Random Fields
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Delves into conditional random fields (CRFs), a powerful machine learning technique used in natural language processing, computer vision, and bioinformatics. It covers the mathematical foundations, algorithms, and practical applications of CRFs.
An Introduction to Conditional Random Fields...
Paperback
$$$
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Probabilistic Logics and Probabilistic Networks
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Provides a practical introduction to conditional probability and Bayesian networks, covering both theoretical concepts and real-world applications in areas such as machine learning, data analysis, and decision-making.
Probabilistic Logics and Probabilistic Networks...
Hardcover
$$
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Compositionality in Formal Semantics
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Explores conditionals in natural language from a linguistic perspective, examining their syntactic, semantic, and pragmatic properties. It provides insights into how conditionals are used in different languages and cultures.
Compositionality in Formal Semantics: Selected...
Paperback
$$$
Compositionality in Formal Semantics: Selected...
Kindle Edition
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