Midterm 2 lecture notes - Study guides, Class notes & Summaries

Ch. 6 - Learning Alec wants to train his dog Magnus to sit on command. To achieve this goal, Alec starts by giving Magnus a strip of bacon and saying “sit” every time Magnus sits. A day later, Alec gives Magnus a strip of bacon and a pat on the head and says “sit” every time Magnus sits. Magnus seems to learn to sit on command. However, after a few days of training, Alec notices that Magnus now salivates and wags his tail whenever he hears the word “sit.” 1. Alec is using _____ ...

CSE 307 – Midterm Exam 2 Version 1 Sample Name: First Last Student ID # _________________________________ Question # Points Available Points Earned 1 10 2 10 3 10 4 10 5 10 6 10 7 10 8 10 9 10 10 10 Total: 100 Directions: You have 80 minutes to complete this exam. Write all answers neatly in the space provided. Please do not separate exam sheets. Individual closed book exam. You are not allowed to use the textbook, lecture notes, cheat sheets or anything else beside your br...

Praxis II- 5545 Special Ed Core Knowledge & Severe to Profound Applications Exam 2023 Purpose of including the PLAAFP in a student's IEP? - Answer-1. Understand how the child's disability affects involvement in the GenEd Curr. 2. Defines a student's strengths and weaknesses so appropriate goals can be addressed. 3. Determined by assessments, observations, and evals. Measureable goal - Answer-1. A measurable goal is a measurable statement that describes what a child is reasonably ...

FTCE: NavaEd PeD Formative Assessment - Informs instruction (exit tickets, show of hands, checklists, journals, anecdotal notes, observations) Summative Assessment - The end measure of mastery of the standards. Used for grades and to measure teacher performance (midterm/final, district benchmark assessments, state assessments, teacher created tests or textbook chapter tests, research paper/project). critical thinking - Analyze, evaluate, interpret, and synthesize information to reach a con...

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LS 30B: MATHEMATICS FOR LIFE SCIENTISTS WINTER 2018 - LECTURE 2 Jukka Keranen MIDTERM SOLUTIONS Your Name The Last Six Digits of Your Student ID number Your TA Section By signing below, you confirm that you did not cheat on this exam. No exam booklet without a signature will be graded. INSTRUCTIONS • Please do not open this booklet until you are told to do so. • Your cell phone must be turned off completely and stowed away where you cannot see it. • In addition to basic writing ...

PSYCH 10 Midterm Exam What accurately describe(s) the difference between structuralism and functionalism? - functionalism studied the purpose of different behaviors and structuralism tried to break down consciousness into its component experiences Oppenheimer and Mueller (2014) randomly assigned students to take lecture notes using a laptop or by hand (using a pen and paper). They found that students who hand wrote their notes did better on a subsequent test than those who took notes using...

RNSG 2138 Professional Nursing Concepts Student Midterm Blueprint Summer 2018 1- Professionalism/Nursing Organization and Unions Pros/Cons to unions Management of care Planning Analysis Professionalism PowerPoint & Lecture A. Positive • Continuity of care • Continual professional growth • Active in professional organizations • Providing a safe patient environment B. Negative • Unsafe patient care • Negative patient outcomes • Suspension or loss of person...

# Week 5 Notes Variable Selection what do we do with a lot of factors in our models? variable selection helps us choose the best factors for our models variable selection can work for any factor based model - regression / classification why do we not want a lot of factors in our models? - overfitting: when the number of factors is close or larger than number of data points our model will overfit - overfitting: model captures the random effect of our data instead of the real effects too m...

- Important to limit the number of factors in the model for 2 reasons: o Overfitting – When the number of factors is close to or larger than the number of data points the model might fit too closely to random effects o Simplicity – on aggregate simple models are better than complex ones. Using less factors means that less data is required and the is a smaller chance of including insignificant factors. Interpretability is also crucial. Some factors are even illegal to use such as race a...