Micro AI: Feature Level
Understand how various micro AI technologies like machine learning, natural language processing, and computer vision work together at the feature level to enhance AI-based products. Learn to evaluate model choices based on use cases, data, and goals, and discover common ML use cases such as recommendation systems, prediction, classification, and generation to optimize AI product features effectively.
We'll cover the following...
Collaborative dynamics of AI
It can be daunting to understand how various categories of AI fit together, and the reality is that in real-world AI product applications, many of these are working in concert. Seeing various examples of how that happens, we will offer a way to see how much opportunity and potential AI really offers!
We will consolidate ML, DL, computer vision, and NLP into their own lessons because these models are often used collaboratively as well. That collaboration can then bleed into the other subsets of AI. Robotics, expert systems, and fuzzy logic can remain in their own lessons because their applications are so specialized in and of themselves. Seeing how subsets of AI can work together further results in the greater complexity and growth that powers innovation for our markets and brings to market products that serve, delight, and capture our hearts.
ML/DL
Which type of model we’re using will depend on our use case and goals for our product. As we’ve covered in varying lessons, the exact model we go with will depend on the data we have, how we’re able to tune our ...