Algorithms Made Simple

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Algorithms Made Simple

Cover of Algorithms Made Simple

By Choral Software

Language: English

Algorithms Made Simple is a visual, plain-language guide to the ideas behind the software you use every day. You do not need to know programming or advanced mathematics: each concept gets a two-page learning spread, with a clear explanation and analogy on the first page and a visual lab on the second, plus Python-like pseudocode designed to be read and traced rather than run.

Forty chapters in five parts take you from the foundations to modern AI. Start with how information is stored (arrays, linked lists, stacks and queues, hash tables), move on to trees, heaps and graphs, and then to the general-purpose methods that use them: searching, sorting, divide and conquer, greedy planning, shortest paths and spanning trees.

The second half shows how machines learn: data preparation and evaluation, regression and classification, decision trees and ensembles, clustering, probability and uncertainty, neural networks and deep learning, computer vision, language models, attention and transformers, generative AI, retrieval-augmented generation, recommendation systems, speech, reinforcement learning, and AI agents that use tools and plan.

The final part connects it all to everyday life, from maps and delivery to feeds, ads, spam and fraud filters, and closes with fairness, privacy and responsible AI, a field checklist for questioning any algorithm, and a glossary of key terms.

Who it is for: curious beginners, students starting computer science, professionals who work alongside engineers, and anyone who wants to understand how algorithms and AI really work, without hype or fear.


Apple Books ID: 6808804921

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