Grokking Algorithms
(eAudiobook)

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Average Rating
Published
Findaway Voices, 2022.
Format
eAudiobook
ISBN
9798368946443
Status
Available Online

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Physical Description
3h 37m 0s
Language
English

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Citations

APA Citation, 7th Edition (style guide)

Dylan Christian., Dylan Christian|AUTHOR., & Betty Johnston|READER. (2022). Grokking Algorithms . Findaway Voices.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Dylan Christian, Dylan Christian|AUTHOR and Betty Johnston|READER. 2022. Grokking Algorithms. Findaway Voices.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Dylan Christian, Dylan Christian|AUTHOR and Betty Johnston|READER. Grokking Algorithms Findaway Voices, 2022.

MLA Citation, 9th Edition (style guide)

Dylan Christian, Dylan Christian|AUTHOR, and Betty Johnston|READER. Grokking Algorithms Findaway Voices, 2022.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work IDad739ebd-1721-7637-a93d-7529759f72d6-eng
Full titlegrokking algorithms
Authorchristian dylan
Grouping Categorybook
Last Update2024-05-15 02:01:02AM
Last Indexed2024-06-15 04:45:20AM

Book Cover Information

Image Sourcehoopla
First LoadedMay 8, 2024
Last UsedJun 3, 2024

Hoopla Extract Information

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    [synopsis] => 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:
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.
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