Which of the following is an INCORRECT description of  ‘Scikit Learn’?以下哪一個對 ‘Scikit Learn’的描述不正確？A software library developed with Python 利用Python程式語言開發的軟件函式庫A software library that contains tools for unsupervised learning 內有非監督式學習的工具的軟件函式庫A tool library for machine learning as well as data science 機器學習 、數據科學領域的工具庫A framework for managing databases 用於管理資料庫的框架

What is Scikit-learn?(1 Point)A machine learning library in PythonA data visualization library in PythonA natural language processing library in PythonA web development framework in Python

Why Scikit is a proper library for Machine Learning

Which command is used to install the scikit-learn library in Python?1 pointo A) pip install sklearno B) pip install scikit-learno C) conda install sklearno D) pip install ml-sklearn

Please select the best and correct answer. 請選出最好且正確的答案。1. ‘Teachable Machine’ is a machine learning tool discussed in our courses. It provides three modes, Image Project, Audio Project and Pose Project, to complete an AI project. Which of the following statements about the operation of ‘Teachable Machine’ is wrong?我們的課程中討論了一個機器學習工具 ‘Teachable Machine’。此工具提供使用者圖像辨識、聲音辨識、肢體辨識三種模式以完成人工智能專案。以下哪個對 ‘Teachable Machine’運作的說法是錯誤的？The steps of ‘training’ include calculating the optimal weights of an artificial neural network.「訓練」的步驟包括計算出最佳化的神經元傳輸權重值。Inputting more data of good quality helps to improve the identification rate. 匯入品質好的數據可幫助改善辨識率。‘Teachable Machine’ belongs to the field of unsupervised learning, as it does not require any labelled data to let the computer categorize. ‘Teachable Machine’屬於非監督式學習領域，因為過程中不需要使用有標籤的資料讓電腦自行分類。The function of adding ‘class’ is to label the imported data, so as to teach the computer to learn how to categorize according to the labels. 輸入「分類」就是讓我們標籤輸入的數據，以便教電腦學習哪一類的樣本數據是屬於哪一種標籤。2. Carmen has been collecting data, and she hopes to use AI to study the relationship between interviewees’ income level and various factors such as education level, age and gender. Later, she finds that the interview dates are missing for 80% of the interviewee data. Which of the following is the most reasonable action for her to take before training her AI model?嘉雯一直在收集數據，希望利用人工智能找出受訪者收入水平與其他因素（例如教育水平、年齡、性別）的關係。後來，她發現有八成受訪者的數據缺失了訪問日期。以下哪個是她在訓練她的人工智能模型之前最合理的行動？Standardizing the date format 把日期格式統一Substituting the missing entries with a random date 在缺失日期的欄目補上一個隨機的日期Discarding the column for interview dates in all the interviewee data 捨去全部受訪者數據中的訪問日期一欄Discarding the individual interviewee data with missing interview dates 捨去缺失了訪問日期的個別受訪者數據

12. Which of the following statement correctly indicates the difference between ‘supervised learning’ and ‘unsupervised learning’?以下哪一個説法正確地指出「監督式學習」和「非監督式學習」的區別？Supervised learning cannot be applied to regression analysis, while unsupervised learning can. 監督式學習不可用於迴歸分析；非監督式學習則可以。Unsupervised learning requires a labeled dataset for training, while supervised learning can extract features and patterns from unlabeled dataset for learning. 非監督式學習需要利用已標注的數據集來進行學習；監督式學習則可以從未標注的數據集上歸納出特徵和模式。Supervised learning requires a labeled dataset for learning, while unsupervised can extract features and patterns from unlabeled dataset for learning. 監督式學習需要利用已標注的數據集來進行學習；非監督式學習則可以從未標注的數據集上歸納出特徵和模式。Supervised learning can be applied to clustering analysis, while unsupervised learning cannot. 監督式學習可用於分群分析；非監督式學習則不可以。