随笔分类 - Machine Learning
摘要：Predicting Student Admissions with Neural Networks In this notebook, we predict student admissions to graduate school at UCLA based on three pieces of
阅读全文
摘要：ClassifyNB.py: def classify(features_train, labels_train): ### import the sklearn module for GaussianNB from sklearn.naive_bayes import GaussianNB ###
阅读全文
摘要：Implementing the Gradient Descent Algorithm In this lab, we'll implement the basic functions of the Gradient Descent algorithm to find the boundary in
阅读全文
摘要：If I have bunch of events and a bunch of probabilities, how likely is it those events happen based on the probabilities? If it is very likely then we
阅读全文
摘要：The Softmax Function In the next video, we'll learn about the softmax function, which is the equivalent of the sigmoid activation function, but when t
阅读全文
摘要：The sigmoid function is defined as sigmoid(x) = 1/(1+e-x). If the score is defined by 4x1 + 5x2 - 9 = score, then which of the following points has ex
阅读全文
摘要：Give this: We have a wrongn classified point, how to move the line to come closer to the points? We apply learning rate and since wrong point is in po
阅读全文
摘要：Training an algorithm involes four ingredients: Data Model Objective function: We put data input a Model and get output out of it. The value we call i
阅读全文
摘要：A part of Natural Language Processing (NLP) is processing text by “tokenizing” language strings. This means we can break up a string of text into part
阅读全文
