We work to impart technical knowledge to students. Large Scale Machine Learning : Suppose you are training a logistic regression classifier using stochastic gradient descent. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. Week 10 notes: Large Scale Machine Learning 2017-09-15 notes machine learning Introduction No notes. Suppose you are training a logistic regression classifier using stochastic gradient descent. It is recommended that you should solve the assignment and quiz by yourself honestly then only it makes sense to complete the course. You signed in with another tab or window. we provides Personalised learning experience for students and help in accelerating their career. This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course. You find that the cost (say. Check all that apply. we align the professional goals of students with the skills and learnings required to fulfill such goals, Coursera: Machine Learning-Andrew NG(Week 10) Quiz - Large Scale Machine Learning. 10/2/2020 Large Scale Machine Learning | Coursera 1/1 QUIZ • 30 MIN Large Scale Machine Learning Submit your assignment DUE DATE Nov 23, 1:29 PM IST ATTEMPTS 3 every 8 hours Try again Receive grade TO PASS 80% GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. they're used to log you in. Coursera: Machine Learning (Week 10) Quiz - Large Scale Machine Learning | Andrew NG Akshay Daga (APDaga) December 31, 2019 Large Scale Machine Learning : Suppose you are training a logistic regression classifier using stochastic gradient descent. Check all that apply. codemummy is online technical computer science platform. Applied Machine Learning in Python week2 quiz answers, Longest Palindromic Subsequence-dynamic programming, Minimum number of jumps-dynamic programming. We use essential cookies to perform essential website functions, e.g. For more information, see our Privacy Statement. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. You can always update your selection by clicking Cookie Preferences at the bottom of the page. Large Scale Machine Learning5 试题1. Which of the following statements about map-reduce are true? You find that the cost (say, , averaged over the last 500 examples), plotted as a function of the number of iterations, is slowly increasing over time. Suppose you are training a logistic regression classifier using stochastic gradient descent. Assuming that you have a very large training set, which of the following algorithms do you think can be parallelized using map-reduce and splitting the training set across different machines? Cannot retrieve contributors at this time. Learn more. but if you cant figure out some part of it than you can refer these solutions, ----------------------------------------------------------------------------------------------. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Millions of developers and companies build, ship, and maintain their software on GitHub — the largest and most advanced development platform in the world. Learn more. Sorry, this file is invalid so it cannot be displayed.