Kuzmiakova Computer Science and Web Technologies

Erscheinungsjahr 2020
ISBN: 978-1-77407-951-5
Verlag: Arcler Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 270 Seiten, Electronic book text, Format (B × H): 152 mm x 229 mm

The book Computer Science and Network Technology gives an in-depth discussion of the key systems in the development of distributed software and service-oriented systems through the Internet, and gives readers some critical thinking and technical skills about development and performance assessment of such systems. This book defines the Internet and World Wide Web (WWW) as the core technologies of our society, which have changed the design and configuration of software systems. It also touches on emerging network technologies, such as software as a service (SaaS) and cloud-based paradigms, which have enabled new ways to provide and utilize computing and IT resources across the Internet.

Autoren/Hrsg.

Kuzmiakova, Adele

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Web Graphik & Design, Web-Publishing
• Mathematik | Informatik EDV | Informatik Informatik

Inhaltsverzeichnis

- Chapter 1: Introduction to Web Pages, Sites, and Applications
- Chapter 2: Web Browsers and Layout Engines
- Chapter 3: Web Evolution
- Chapter 4: Web Servers
- Chapter 5: Software Architectures
- Chapter 6: Emerging Web Technologies
- Chapter 7: Uses for Real-Time Web Technologies
- Chapter 8: Cloud Web Technologies
- Chapter 9: How Web Technologies Are Changing Marketing?
- Chapter 10: Challenges of Web Technologies

Über Autor(innen)

Adele Kuzmiakova is a computational engineer focusing on solving problems in machine learning, deep learning, and computer vision. Adele attended Cornell University in New York, United States for her undergraduate studies. She studied engineering with a focus on applied math. While at Cornell, she developed close relationships with professors, which enabled her to get involved in academic research to get hands-on experience with solving computational problems. She was also selected to be Accel Roundtable on Entrepreneurship Education (REE) Fellow at Stanford University and spent 3 months working on entrepreneurship projects to get a taste of entrepreneurship and high-growth ventures in engineering and life sciences. The program culminated in giving a presentation on the startup technology and was judged by Stanford faculty and entrepreneurship experts in Silicon Valley. After graduating from Cornell, Adele worked as a data scientist at Swiss Federal Institute of Technology in Lausanne, Switzerland where she focused on developing algorithms and graphical models to analyze chemical pathways in the atmosphere. Adele also pursued graduate studies at Stanford University in the United States where she entered as a recipient of American Association of University Women International Fellowship. The Fellowship enabled her to focus on tackling important research problems in machine learning and computer vision. Some research problems she worked on at Stanford include detecting air pollution from outdoor public webcam images. Specifically, she modified and set up a variety of pre-trained architectures, such as DehazeNet, VGG, and ResNet, on public webcam images to evaluate their ability to predict air quality based on the degree of haze on pictures. Other deep learning problems Adele worked on include investigating the promise of second-order optimizers in deep learning and using neural networks to predict sequences of data in energy consumption. Adele also places an emphasis on continual education and served as a Student Leader in PyTorch scholarship challenge organized by Udacity. Her roles as the Student Leader were helping students debug their code to train neural networks with PyTorch and providing mentorship on technical and career aspects. Her hobbies include skiing, playing tennis, cooking, and meeting new people.