Video Training → Udemy - Computer Science 101 Master the Theory Behind Programming

Published by: voska89 on 17-11-2021, 16:28 | 0

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.29 GB | Duration: 10h 56m
Computer Science 101: Learn Computer Science to become a better Programmer and Software Engineer.

Video Training → Udemy - Computer Literacy & Basic Computer Skills for Productivity

Published by: voska89 on 17-11-2021, 16:28 | 0

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.2 GB | Duration: 10h 23m
Enhance productivity with this basic computer course: an introduction to computers, Microsoft Windows, & the Apple Mac

Video Training → Udemy - Basics of Computer Science and Information Systems (BCSIS)

Published by: voska89 on 17-11-2021, 16:20 | 0

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 22 lectures (1h 53m) | Size: 913.3 MB
A simplified approach to understanding the world of Computer Science and Information Systems and making the next steps

Video Training → Udemy - Basic of Computer Concepts Concepts

Published by: voska89 on 17-11-2021, 16:20 | 0

Last Update: 10/2021
Duration: 57m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 394 MB
Genre: eLearning | Language: English

Video Training → Udemy - Complete Computer Basics Computer Fundamentals Course

Published by: voska89 on 15-11-2021, 13:04 | 0

Video Training → Linkedin - Computer Vision on the Raspberry Pi 4

Published by: voska89 on 15-11-2021, 12:53 | 0

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 43m | Size: 241.9 MB
More and more applications are using computer vision to detect and recognize objects. These applications usually execute on large computers, but developers can save money and power by running them on single-board computers (SBCs). The Raspberry Pi 4 is one of the most popular SBCs available. It's also the first computer in the Raspberry Pi family powerful enough to execute computer vision applications. Also, the software needed to build these applications can be downloaded freely from the Internet. In this course, instructor Matt Scarpino shows programmers how to write and execute computer vision applications on the Raspberry Pi 4. Matt introduces you to using the Thonny IDE, the OpenCV library, and NumPy array operations. He steps through object detection and neural networks, then explores convolutional neural networks (CNNs), including the Keras package and the TensorFlow package. Matt also walks you through what you can do with a Raspberry Pi HQ camera