跟讀練習: What Is Machine Learning? | ML Explained for Beginners | CT Academy - 通過影片學習英語口語
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29 句
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What is machine learning?
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In today's video, we're looking at one of the most important parts of artificial intelligence, machine learning or ML.
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Let's break it down in a simple way.
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Tom Mitchell, a well-known expert in the field,
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defines machine learning as the study of computer algorithms that allow computer programs to automatically improve through experience.
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That's a fancy way of saying, machine learning is how computers learn from data and get better at tasks without being programmed step by step.
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How does it work?
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Think of how you learn.
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For example, the more times you practice solving a math problem, the better you get.
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In the same way, machine learning algorithms improve as they are fed more data.
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They find patterns, make predictions, and adjust their behavior over time.
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Let's say you show a computer thousands of photos of cats and dogs.
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At first, it doesn't know what's what.
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But as it studies the images, it starts recognizing patterns, like fur, ear shape, or nose size.
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Eventually, it can tell whether a new photo is a cat or a dog, all by learning from past examples.
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Where is machine learning used?
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Machine learning is all around us, even if we don't notice it.
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Search engines use it to give better results.
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Email apps use it to filter out spam.
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Banks use it to detect fraud.
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Social media uses it to show content you're likely to enjoy.
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And video games use it to make characters smarter.
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Every time these systems are used, they learn a little more and get a little better.
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Why it matters.
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Machine learning is powerful because it helps computers do things that used to need human intelligence and do them faster, cheaper, and often more accurately.
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From healthcare to finance to entertainment, machine learning is transforming industries and creating new opportunities.
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At CT Academy, we teach you how machine learning works step by step in a way that's simple, clear, and and hands-on.
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Visit www.ctglobal.my or click the link in the description to explore our full machine learning courses.
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Thanks for watching, and we'll see you in the next CT Academy video.
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本課的詞彙與口語要點
這節 B1 級別的口語課以影片“What Is Machine Learning?”為素材。 影片中反覆出現的詞有：learning, machine, computer, step, learn。 這段影片共有 29 個句子、361 個單詞可供跟讀。 講話部分時長為 2:10。 說話人語速自然，每分鐘約 167 個詞，接近日常對話。 86% 的單詞屬於英語最常用的 3,000 詞，其餘的詞建議在練習前先學一下。
影片中的重點詞彙
影片中最難的 11 個單詞，附發音和釋義：
| 單詞 | 發音 | 釋義 |
|---|---|---|
| algorithm 名詞 | /ˈælɡəɹɪðm̩/ | 演算法, 演算法 |
| prediction 名詞 | /pɹɪˈdɪkʃən/ | 預言 /預言, 預估 /預估 |
| transform 動詞 | /tɹænsˈfɔɹm/ | 變換 /變換, 變形 /變形 |
| spam 名詞 | /spæm/ | 垃圾郵件 /垃圾郵件, 垃圾信 |
| detect 動詞 | /dɪˈtɛkt/ | 察覺 /察覺, 發覺 /發覺 |
| adjust 動詞 | /əˈd͡ʒʌst/ | 調整 /調整 |
| mathematics 名詞 | /mæθ(.ə)ˈmæt.ɪks/ | 數學 /數學, 算學 /算學 |
| artificial 形容詞 | /ˌɑː.tɪˈfɪʃ.əl/ | 人造的 |
| filter 名詞 | /ˈfɪltɚ/ | 過濾器 /過濾器, 濾過器 /濾過器 |
| explore 動詞 | /ɪkˈsploɹ/ | 探索, 探險 /探險 |
| define 動詞 | /dɪˈfaɪn/ | 界定 |
影片中的語法
說話人最常用的結構，並附上影片中的原話：
| 結構 | 影片中的用法 |
|---|---|
| 被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的 | being programmed · are fed |
| 動詞 + -ing enjoy、keep、stop… + -ing — 後接 -ing 形式的動詞 | practice solving · starts recognizing |
| 現在進行時 am/is/are + -ing — 此刻或近期正在發生的事 | we're looking · is transforming |
需要注意的發音
說話人用了 5 次縮略和弱讀形式，例如 doesn't, don't, we'll。請按聽到的簡短形式來說。
- “th” 音: algorithm /ˈælɡəɹɪðm̩/, mathematics /mæθ(.ə)ˈmæt.ɪks/
- “sh” 和 “zh” 音: prediction /pɹɪˈdɪkʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/
- 長單詞——注意重音位置: accurately /ˈæk.jə.ɹɪt.li/, mathematics /mæθ(.ə)ˈmæt.ɪks/, artificial /ˌɑː.tɪˈfɪʃ.əl/
中文母語者容易讀錯的音：
- 詞尾子音 — 要讀清楚，後面不要加母音: detect /dɪˈtɛkt/, adjust /əˈd͡ʒʌst/, mathematics /mæθ(.ə)ˈmæt.ɪks/
- /r/ 和 /l/ 的區別: algorithm /ˈælɡəɹɪðm̩/, accurately /ˈæk.jə.ɹɪt.li/, explore /ɪkˈsploɹ/
- /æ/ — 嘴張大，不要讀成 /e/: algorithm /ˈælɡəɹɪðm̩/, accurately /ˈæk.jə.ɹɪt.li/, transform /tɹænsˈfɔɹm/, spam /spæm/, mathematics /mæθ(.ə)ˈmæt.ɪks/
如何用這段影片練習
- 先完整聽一遍影片，不要開口，記下不認識的單詞。
- 先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
- 錄下自己的聲音並與原聲對比，特別注意 algorithm, prediction, transform 這類單詞。
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。