Bradford Tuckfield, PhD, is the founder of Kmbara, which solves problems using machine learning, AI, chatbots, and other data-based innovations. The author of Applied Unsupervised Learning with R, his work has also been featured in top scholarly journals, and his essays on culture and public policy can be seen in Quillette, National Affairs, and other prestigious outlets.

Inhaltsangabe

Introduction

Chapter 1: Problem-Solving with Algorithms
Chapter 2: Algorithms in History
Chapter 3: Maximizing and Minimizing
Chapter 4: Sorting and Searching
Chapter 5: Pure Math
Chapter 6: Advanced Optimization
Chapter 7: Geometry
Chapter 8: Language
Chapter 9: Machine Learning
Chapter 10: Artificial Intelligence
Chapter 11: Forging Ahead

Index

Inhaltsangabe

Rezensionen

This book is based entirely on learning math, but it does a really good job of changing how it s learned. Instead of trying to give you a dry math lecture, this book will tell a story with each of its chapters. This story based education ties real world problems and solutions with the algorithms that this book is trying to teach.
Ian Mizer, Cloud Support Engineer

An excellent self-discovery approach to learning algorithms.
Ira Laefsky, Vine Voice

A clear and concise introduction to algorithmic thinking. This is especially important in today's world where resolving processes using computers is far more important than ever before. Python is not the main focus of the book, more like the algorithmic language using which a variety of topics are explored. Top marks for content and style.
Brian G. McEnery, Amazon Reviewer

[This] book has been great about teaching you what you need to know to do each section! I'd recommend giving it a shot!
@ViolanteCode