101C_W1_L1_DZ.key.pdf - 101C ADMIN STUFF 101C IMPORTANT STUFF ▸ Read the syllabus(on CCLE ▸ Office Hours Thursday 5:00-6:00pm ▸ Midterm in class

# 101C_W1_L1_DZ.key.pdf - 101C ADMIN STUFF 101C IMPORTANT...

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101C IMPORTANT STUFF Read the syllabus (on CCLE) Office Hours: Thursday 5:00-6:00pm Midterm in class: November 12 Final: TBD Send all academic questions to Piazza, not email. Feel free to answer/participate in discussions.
PREAMBLES 101C

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101C STRATEGY VS TACTICS Strategy without tactics is the slowest route to victory. Tactics without strategy is the noise before defeat. — Sun Tzu
101C LECTURE R CODE Please visit Clone/DL repo

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1 101C

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101C WHAT’S THE POINT Inference 2 views, “System”, Population “Probability space” “System”
101C SUPERVISED VS UNSUPERVISED Data modeling can be divided into two paradigms. Supervised . Simply, we have at least one or more responses that we wish to predict from explanatory variables. Unsupervised . We do not have a response, but rather seek to find “patterns” amongst our variables. Most of ISLR, and this course, is dedicated to exploring the supervised paradigm.

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101C COST FUNCTIONS How do we assess the “quality” of our prediction? It depends. We don’t spend a great deal of time studying/considering different cost functions in 101C. Actuarial sciences. Quantitative Response, MSE, RMSE (same minimum) Example, AC “attainment”
101C COST FUNCTIONS Very common cost function for quantitative response is the RMSE. RV version: Data version: [ ( Y ̂ Y ) 2 ] 1 n n i [ ( y i ̂ y i ) 2 ]

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101C STRATEGERY Our general business in this course, and others like it, is to create from data, . This process itself is a function . ̂ f ( x ) ( X , y )
101C FUNCTIONS THAT CREATE FUNCTIONS For example, consider the multivariate linear solution: Notice that this itself is a function of our data, .

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• Spring '15
• vivianlew

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