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Tutorials

Programming Foundations – Inside Computing Hardware

Baturi 23 December 2023 32 0
Programming Foundations – Inside Computing Hardware
Free Download Programming Foundations – Inside Computing Hardware
Released 12/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 14m | Size: 158 MB
While it is sometimes less critical to know "what is inside the box" with today's better performing computers, the core structure of our computers, phones, and servers still makes a big difference for our results. In this course, engineering instructor and educator Zara Khalil teaches you about common hardware components, how the pieces relate to each other, and how changes in one aspect can shift your experience. Go over basic components like the CPU, temporary storage or RAM, permanent storage (your hard drive), the graphics processing unit (GPU), and the motherboard. Then dive into how these components interact through the boot process, memory hierarchy, caching, and two types of parallel processing. Plus, get practical advice on choosing the right computer.

Tutorials

Hands–On Data Annotation – Applied Machine Learning

Baturi 23 December 2023 34 0
Hands–On Data Annotation – Applied Machine Learning
Free Download Hands–On Data Annotation – Applied Machine Learning
Released 12/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 3h 51m | Size: 535 MB
Are you curious how data powers machine learning and data science? In this course, Wuraola Oyewusi dives into the intricacies of data annotation for machine learning and shows how data is prepared and used for training of machine learning models. Wuraola starts with a big-picture look at the principles, types, and importance of data annotation in machine learning pipelines. She then dives into hands-on use cases for data annotation in natural language processing, computer vision, and general data science using different tools. Other topics include using both open-source and proprietary tools such for data notation, as well as labeling data on major cloud platforms like AWS, Azure, and GCP.