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  1. All our lives are built on, or centered around a certain person, place or thing.

  2. oil and anointing

    As a worship leader, our goal might be to nail the Sunday morning service, make sure the congregation engages, and has their moment with the Father.

  3. This world entices you to fulfill your cravings, desires and longings, to drench in instant dopamine hits, and drown yourself in a world full of self-seeking pleasures.

  4. data mining

    Train, validation and testing split Training data - used to train the model training error is back propagated, learning algorithms Validation data - every now and then, the interim model is tested on the validation result Validation error - wrong classifi…

  5. Bias and variance Reference : https://www.youtube.com/watch?

  6. knn + vc dimension

    Used to classify data if the k in knn is =1. then we only use the nearest neighbour to define the category if k=11, then we use the 11 nearest neighbors it's always easier to work with an odd value of k How to pick a value for k?

  7. is learning feasible

    Recap You can perform ML without a pattern as well Say we can pin down a mathematical function for a task - then ML is not the recommended technique, but it will still work.

  8. the learning problem

    ML goes from very abstract theory to extreme practice.

  9. learning from data

    Regression models vs classification models - Regression - deals with outputs that are continuous values - any value in the range of certain values - has discrete values Classification - deals with categorzing each result into a category Convergence - the…

  10. In the realm of MLOps (Machine Learning Operations), there are several key components to manage: model deployment, model serving, model registry, model observability, and model monitoring to name a few.