1 - Exploring Parameter Space - Coursera [PDF]

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10/10/2019



Exploring parameter space | Coursera



Exploring parameter space Practice Quiz • 20 min



Welcome to this course PRACTICE QUIZ • 20 MIN Video: Introduction: Solving data science challenges with mathematics



Exploring parameter space parameter Exploring space 2 min 8 TOTAL POINTS



1.



Reading: About Imperial College & the team



In this exercise, we shall see how it is often convenient to use vectors in 5 min machine learning. These could be in the form of data itself, or model parameters, so on. Reading: Howand to be



2 points



successful in this course



The 5 min purpose of this exercise is to set the scene for Linear Algebra and the rest of the maths we will cover in the specialization. If this is confusing right now Submit your assignment Reading: Grading policy



stick with us! We'll build up your skills throughout the rest of the course. For 5 min this reason we've set a low pass mark for this quiz, but even if you don't pass in



Start



one go, reading the feedback from a wrong answer can often give more insight Reading: Additional Receive grade than guessing a correct answer! readings & helpful references 10 min



TO PASS 40% or higher



∗∗∗



Grade Discussion Prompt: Nice to The problem we shall focus on in this exercise is the distribution of heights in a meet you! — population. 15 min



If we do a survey the heights of people in a population, we may get a Complete our shortof precourse surveylike this: distribution 15 min



The relationship between machine learning, linear algebra, and vectors and matrices Video: Motivations for linear algebra 3 min Video: Getting a handle on vectors 9 min Practice Quiz: Exploring parameter space 7 questions Practice Quiz: Solving some simultaneous equations 5 questions



Vectors https://www.coursera.org/learn/linear-algebra-machine-learning/quiz/seCwS/exploring-parameter-space/attempt



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