Channel: Learn By Watch

Category: Education

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Description: Machine Learning is used anywhere from automating mundane tasks to offering intelligent insights, industries in every sector try to benefit from it. You will learn about these topics: ● What is machine learning - an overall idea of what we are trying to find and how we find it ● Motivation - How machine got so popular and it’s uses in the future ● Features and labels - Explained with the help of housing price prediction ● Supervised Vs unsupervised learning - Key differences between them in the form of tables. ● Dependent and independent variable - using a straight line function explained what is dependent and independent variable ● Examples - Took the example of housing price and height Vs weight and saw how linear regression helps in predicting outcome using the training dataset ● Notations - The standard symbols which will be used throughout the topic ● Architecture - Explained with figure the overall architecture of any machine learning model. This does not contain the exact details but a general idea which can be applied to any model. ● Hypothesis function ● Cost/loss function - This is used to define how well or how bad our model is performing. Normally it is obvious we need to reduce this function as much as we can.