[Machine Learning (Andrew NG courses)]V. Octave Tutorial (Week 2)
[Machine Learning (Andrew NG courses)]V. Octave Tutorial (Week 2)
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[Machine Learning (Andrew NG courses)]V. Octave Tutorial (Week 2)
img and learning text net con fonts http .net [Machine Learning (Andrew NG courses)]V. Octave Tutorial (Week 2)
Machine Learning-Andrew Ng 課程第四周——非線性假設 & Neural Network
1. 影象作為輸入時的訓練 之前我們處理的輸入都是一些標量,比如房子的面積、臥室數量、腫瘤的體積等等,但在實際工程應用中,很多輸入比這複雜許多,比如說影象。 在此次程式設計作業中用到了手寫資料集,每個
Machine Learning-Andrew Ng 課程第六週——Advice for Applying Machine Learning
這一週的課程沒涉及什麼特別“硬”的知識,都是在說如何使學習演算法表現得更好,但是這些知識也很重要,有助於提高“軟”實力,特別是在除錯演算法的時候,尤其有幫助。 1. Learning Curve和Validation Curve 所謂的Learning Curv
Machine Learning: Andrew NG’s course from coursera
Have you ever wondered how handwritting recognition, music recommendation or spam-classification work? The answer is Machine Learning. I’ve taken this yea
【原】Andrew Ng斯坦福機器學習 Programming Exercise 2——邏輯迴歸
作業說明 Exercise 2,Week 3,使用Octave實現邏輯迴歸模型。資料集 ex2data1.txt ,ex2data2.txt 實現 Sigmoid 、代價函式計算Computing Cost 和 梯度下降Gradient Descent。 檔案清單
[Checked (vid only)] Cousera - Machine Learning by Andrew Ng
ati all rst which got hms sta rms aspect Just finished watching all videos of this course - thank you Andrew for elaborating all basic ML
andrew ng machine learning week9 異常檢測和推薦系統
machine 滿足 購物網站 learn 大於 andrew 地方 平面 類型 異常檢測 概率分布的角度:通過判斷某個樣本的概率分部值和閾值的關系判斷是不是異常樣本 異常檢測的應用: 1. 在線購物網站如何識別異常用戶(欺詐行為或者被盜號) 2. 制造業
學習筆記之Machine Learning by Andrew Ng | Coursera
Machine Learning | Coursera https://www.coursera.org/learn/machine-learning Machine learning is the science of getting computers to act without being
[0] Andrew Ng - Machine Learning - by Stanford University
Introduction Welcome to Machine Learning! In this module, we introduce the core idea of teaching a computer to learn concepts using data—without being
【原】Coursera—Andrew Ng機器學習—課程筆記 Lecture 10—Advice for applying machine learning
Lecture 10—Advice for applying machine learning 10.1 如何除錯一個機器學習演算法? 有多種方案: 1、獲得更多訓練資料;2、嘗試更少特徵;3、嘗試更多特徵;4、嘗試新增多項式特徵;5、減小 λ;6、增大 λ 為了避免一個方案一個方
Machine Learning Yearning(Andrew Ng)
深度學習優化策略/經驗 策略1:Choose dev and test sets to reflect data you expect to get in the future and want to do well on.(比如驗證集dev和測試集test都用我們可能
【原】Coursera—Andrew Ng機器學習—課程筆記 Lecture 11—Machine Learning System Design
Lecture 11—Machine Learning System Design 11.1 垃圾郵件分類 本章中用一個實際例子: 垃圾郵件Spam的分類 來描述機器學習系統設計方法。首先來看兩封郵件,左邊是一封垃圾郵件Spam,右邊是一封非垃圾郵件Non-Spam:垃圾郵件有很多features。如果我
【機器學習入門】Andrew NG《Machine Learning》課程筆記之四:分類、邏輯迴歸和過擬合
分類和邏輯迴歸 在實際的生活中,會遇到很多二元分類問題(Binary Classification Problem),比如判斷一封郵件是否是垃圾郵件,攝像頭判斷使用者是男是女和一張圖片裡包含的是貓還是狗等等。 在有監督的分類問題中,通常使用帶標記(Label
【原】Coursera—Andrew Ng機器學習—課程筆記 Lecture 17—Large Scale Machine Learning 大規模機器學習
Lecture17 Large Scale Machine Learning大規模機器學習 17.1 大型資料集的學習 Learning With Large Datasets 如果有一個低方差的模型, 通常通過增加資料集的規模,可以獲得更好的結果。 但是如果資料集特別大,則首先應該檢查這麼大規模是否真
【Machine Learning】【Andrew Ng】- Quiz2(Week 6)
1、You are working on a spam classification system using regularized logistic regression. “Spam” is a positive class (y = 1) and “no
【機器學習】Machine Learning by Andrew Ng
時間:2014.6.30 ~2014.9月初 備註:因為大二下,一時興趣,在學習德語空隙開始學習機器學習,之前在網上學了些支離破碎的東西,跟著老師可能要學的好些 筆記有部分是用筆記的,一部分用evernote 記的現在重新整理後,傳至部落格上大家學
【Machine Learning】【Andrew Ng】- Quiz(Week 7)
1、Suppose you have trained an SVM classier with a Gaussian kernel, and it learned the following decision boundary on the training s
【Machine Learning】【Andrew Ng】- Quiz1(Week 8)
1、For which of the following tasks might K-means clustering be a suitable algorithm? Select all that apply. A. Given a database o
機器學習之Coursera Andrew Ng 《Machine Learning》 week 6 test 2
本系列文章是coursera上Andrew Ng的《Machine Learning》的測驗題,每次測驗都會有不同的錯,記錄下來,不定時的補充。錯的題目希望能幫我改正一下,我改錯的也希望大家能提出。
Machine Learning —— By Andrew Ng(機器學習 聽後自己做的筆記 記錄重點內容)
MachineLearning ——byAndrew Ng , Stanford 第一講:機器學習的動機與應用 一、監督學習: 1、 迴歸問題: 房價預測 2、 分類問題:腫瘤為良性還是惡性