Over 90% of AI solutions for real-world projects are still based on ML algorithms, not LLMs, not fancy algorithms.

Having a deep understanding of the core of around 8-12 machine learning algorithms, and their data-specific conditions, will still bring many opportunities to you.

Determining the scalability, performance, resource allocation, and cost of the algorithms helps to make informed decisions about which algorithms to use for your specific problem and data.

*90% is not an accurate number. This is just a rough estimation that I have based on multiple reports from McKinsey and IBM in the last two years.

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