Key Dynamics in Computer Programming

Author:   Adele Kuzmiakova
Publisher:   Arcler Press
ISBN:  

9781774694381


Pages:   285
Publication Date:   01 December 2022
Format:   Hardback
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Our Price $475.20 Quantity:  
Add to Cart

Share |

Key Dynamics in Computer Programming


Add your own review!

Overview

The Key Dynamics in Computer Science gives readers an integrated and rigorous tour into the overall computer architecture, including its hardware and software components. The book takes a refreshing, ground-level approach to allow the students to gain a clear picture of how computers work. Designed and supported with numerous real-world illustrations, the book leads students through 8 chapters that gradually build a basic hardware platform coupled with modern operating system hierarchy from the ground up. Additionally, this volume delved deeper into modern programming languages, including Python and C. All in all, it is a fantastic reference for emerging technical professions and supports them to gain a thorough understanding of the modern computer hardware and software components.

Full Product Details

Author:   Adele Kuzmiakova
Publisher:   Arcler Press
Imprint:   Arcler Press
Weight:   0.272kg
ISBN:  

9781774694381


ISBN 10:   1774694387
Pages:   285
Publication Date:   01 December 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Reviews

Author Information

Adele Kuzmiakova is a machine learning engineer focusing on solving problems in machine learning, deep learning, and computer vision. Adele currently works as a senior machine learning engineer at Ifolor focusing on creating engaging photo stories and products. Adele attended Cornell University in New York, United States for her undergraduate studies. She studied engineering with a focus on applied math. Some of the deep learning problems Adele worked on include predicting air quality from public webcams, developing a real-time human movement tracking, and using 3D computer vision to create 3D avatars from selfies in order to bring online clothes shopping closer to reality. She is also passionate about exchanging ideas and inspiring other people and acted as a workshop organizer at Women in Data Science conference in Geneva, Switzerland.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

Aorrng

Shopping Cart
Your cart is empty
Shopping cart
Mailing List