As we enter the next decade, the way we approach data science will change. Here our 5 predictions on how that will happen.
What titles, responsibilities, and skillsets are required for no-coders in the future?
Going forward, we want our users to treat any of their data as queryable, so look at machine learning like this: Google for Enterprise Data.
Being data-independent promotes collaboration, speed, and creativity with analyzing and making predictions.
With collaborative machine learning, there is an increase in the transparency of your data predictions, avoiding bias and unfair outputs.
Here are the top reasons to master no-code machine learning vs traditional machine learning.
Run complex Predictions and Analytics on your data simply by asking natural language questions.