How to Pick between Traditional AI, Supervised Machine Learning, and Deep Learning [Thoughts]
In a post-AI world, you can build applications for ... See more
Dan Shipper • Five New Thinking Styles for Working With Thinking Machines
sari and added
So how does deep learning do this? Fundamentally, these algorithms use massive amounts of data from a specific domain to make a decision that optimizes for a desired outcome. It does this by training itself to recognize deeply buried patterns and correlations connecting the many data points to the desired outcome. This pattern-finding process is ea
... See moreKai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
Ben Dickson • How to choose the first machine learning project for your organization
Ingo added
- Process vs. intuition
If you are searching for sequences instead of essences , you are doing that so that you can build up intuition in place of process .
In a pre-AI world, in order to build an application, you needed to reduce your idea to a process—a set of rules by which your software would operate to accomplish the goal you set. Sometimes this w
... See moreDan Shipper • Five New Thinking Styles for Working With Thinking Machines
Kaustubh Sule added
Eric Jang • How to Understand ML Papers Quickly
Ian Vanagas added
Consider building software. Pre-AI, you needed to define exactly wh... See more
Dan Shipper • Five New Thinking Styles for Working With Thinking Machines
The current AI systems offer the following 7 high-level solutions or capabilities.
Recommendations: AI systems suggest items or actions to users based on their preferences, behavior, and historical data. Common examples like product recommendations on Amazon based on your browsing history and music recommendations on Spotify.
Rankings: AI algorithms
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