From the course: The AI Ecosystem for Developers: Models, Datasets, and APIs
Join today to access over 24,900 courses taught by industry experts.
Components of the AI ecosystem
From the course: The AI Ecosystem for Developers: Models, Datasets, and APIs
Components of the AI ecosystem
- [Host] An ecosystem is a complex network of interconnected elements that work together as a unified system to sustain and try functionality. The closest reference is in nature. We are living organisms interact with their environment to maintain balance and ensure survival. Just like natural ecosystems, the AI ecosystem consists of various components that interact with and depend on each other to function effectively. These include data, algorithms, models, frameworks, and computing infrastructure. Each of those play a crucial role in developing and deploying AI solutions. Now, let's examine each of those components as future lessons will be built on them. Data, the foundation of AI. Data is the raw material that AI systems learn from to make predictions, recognize patterns, and generate insight. Whether it's images, text, speech, video, code, or sensor ratings, data serves as the foundation that powers AI models. The quality, quantity, and diversity of data directly impacts the…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.