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10 Days of No Code Artificial Intelligence BootcampГод выпуска: 10.2021
Производитель: Udemy
Сайт производителя:
https://www.udemy.com/course/10-code-less-days-of-artificial-intelligence/Автор: Mitchell Bouchard, Dr. Ryan Ahmed and Ligency|Team
Продолжительность: 12 hours 18 min
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: 10 Days of No Code Artificial Intelligence Bootcamp is a project-based training course on the development of artificial intelligence without coding, published by Udemy Academy. In this training course, you will use Google trainable machines and powerful DataRobot, AWS Autopilot and Vertex AI services to work on a set of machines based on artificial intelligence. Coding and developing zero to one hundred machines based on artificial intelligence and machine learning techniques is very difficult and costly, and in this regard, businesses and startups do not show much interest in this new technology. To solve this problem, a number of trainable machines have been published 100% by leading companies that can help business owners develop artificial intelligence without time-consuming coding processes.
The machines made by these services can be easily implemented in different environments and platforms and take advantage of their countless capabilities. Health and insurance companies, financial firms and marketing agencies are among the industries that have strongly embraced the idea of developing artificial intelligence without coding. Educational planning and content production of this course is done in such a way that the student can easily complete the course in ten days and complete a project every day.
What you will learn in 10 Days of No Code Artificial Intelligence BootcampDevelopment of artificial intelligence projects and systems based on machine learning techniques in ten days without the need for coding!
Modeling AI-based systems using Tensorspace JS, Google Tensorflow Playground and Ryerson 3D CNN Visualizations
Development and implementation of an intelligent robot to detect diabetes-related symptoms in patients’ history
Performance evaluation of different types of artificial intelligence using performance indicators of confusion matrix, classification accuracy and error rate
Implement an artificial intelligence-based system to detect facial masks
Methods of transferring information from trained neural networks to new networks
Development of an intelligent system to classify different styles and items of fashion items and recognize them on new images
Build an intelligent system to estimate the price of used cars with DataRobot AI
Build a system for predicting employee fatigue and motivation based on interest, level of enthusiasm in the workplace and distance from home to work
Файлы примеров: присутствуют
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 30fps, 3000kbps
Аудио: АAC, 2 ch, 128 Kbps
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