Now let's dive in to cost function It calculates the measure between the original value and your predicted value generated from your model. Cost functions may differ according to your selection, your manager's selection, or the project necessity. Imagine that you got a Data set about house prices. You have built the model and made a prediction afterward. The actual price of the house is: $155.000

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You fascinated about Machine Learning & Artificial Intelligence,right?.This technology is key point of too many industries. Gradient Descent and Cost Function are must know terms in Machine Learning.

How do you get accurate results using machine learning on problem after problem? The difficulty is that each problem is unique, requiring different data sources, features, algorithms, algorithm configurations and on and on. The solution is to use a checklist that guarantees a good result every time. In this post you will discover a checklist that you can use to reliably get good results on your machine learning problems. Machine Learning Checklist Photo by Crispy, some rights reserved. You have no idea what algorithm will work best on a problem before you start.