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Entre em um mundo infinito de histórias

Ouça e leia

Dylan Christian

Gain a broader understanding of Algorithms and their role in everyday life.

Have you ever asked yourself why you need to learn Algorithms?

What is their use in our daily life?

Have you ever wondered how learning Algorithms can benefit you?

Whether you’re a newbie or a seasoned veteran, this book is designed to be easy to follow. There are no big leaps of thought, and any time a new concept is introduced, it is explained right away. This book is written in a friendly tone that explains exactly what you need to know without overcomplicating things.

This book is a quantum leap forward from other machine learning books on the market. It is written for beginners but includes more technical information for people interested in diving deeper into the field. If you're just starting out with machine learning, this book will help you get up to speed quickly by giving you some background knowledge, providing concrete examples, and guiding you towards solving problems of your own. However, even experienced data scientists can benefit from some of the examples and applications in this book

In this book, you will:

 • Learn the different types of Algorithms and how they work
 • Learn about the practical uses of Algorithms
 • Get background knowledge about Algorithms with concrete examples
 • Master Selection sort and Recursion
 • Discover Quicksort with real-life examples
 • Learn about Hashtags and why they are useful
 • Discover Breadth-first search and Dijkstra’s algorithm
 • Master dynamic programming

Extra care is taken to curate the contents of this book. It doesn’t include every sorting algorithm—you can find an excellent introduction to them online. It includes only algorithms that are practical, widely used, and not too easy.

Don’t wait another second; click the “Add to Cart” button now and start working with algorithms.

Betty Johnston

Crater Publication LLC

Grokking Algorithms

Grokking Algorithms: A Complete Beginner’s Guide for the Effective Learning of Algorithms