Logistic Regression Part 3 Vectorization

Summary

In deep learning, we usually deal with very large datasets. A non computationally optimal function can become a huge bottleneck ... This video follows from where we left off in For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: stanford.io/ai Andrew ... Take the Deep Learning Specialization: bit.ly/2uNnPoh all our courses: deeplearning.ai to ... Edureka Python Developer Master's Course: edureka.co/masters-program/python-developer-training This Edureka ... Please join as a member in my channel to get additional benefits materials in Data Science, live streaming for Members and ... 00:00 Introduction 00:30 Working example 1:06 Review of Linear Regression 2:33 An example is used to show how a certain type of data doesn't fit a linear MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: ocw.mit.edu/15-071S17 Instructor: Alison O'Hair ... Confusion matrix, receiver operating characteristics curve, Introduction to Statistical Modelling With Dr Helen Brown, Senior Statistician at The Roslin Institute, December 2015 ...