Shadowing Practice: What Is Machine Learning? | ML Explained for Beginners | CT Academy - Learn English Speaking with Video
Ders oluşturuluyor...
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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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Vocabulary and speaking notes for this lesson
This B1 speaking lesson is built on the video “What Is Machine Learning?”. The speaker keeps coming back to these words: learning, machine, computer, step, learn. This video has 29 sentences and 361 words to shadow. The speech runs for 2:10. The speaker talks at a natural 167 words per minute, close to everyday conversation. 86% of the words are among the 3,000 most common in English; the rest is worth studying before you start.
Key vocabulary in this video
The 12 most advanced words in the video, with pronunciation and meaning:
| Word | Pronunciation | Meaning |
|---|---|---|
| algorithm noun | /ˈælɡəɹɪðm̩/ | A collection of ordered steps that solve a mathematical problem. A precise step-by-step plan for a computational procedure that possibly begins with an input… |
| prediction noun | /pɹɪˈdɪkʃən/ | A statement of what will happen in the future. |
| accurately adverb | /ˈæk.jə.ɹɪt.li/ | In an accurate manner; exactly; precisely; without error or defect. |
| transform verb | /tɹænsˈfɔɹm/ | To change greatly the appearance or form of. |
| spam noun | /spæm/ | Any undesired electronic content automatically generated for commercial purposes. |
| detect verb | /dɪˈtɛkt/ | To discover or find by careful search, examination, or probing. |
| adjust verb | /əˈd͡ʒʌst/ | To modify. |
| mathematics noun | /mæθ(.ə)ˈmæt.ɪks/ | An abstract representational system studying numbers, shapes, structures, quantitative change and relationships between them. |
| artificial adjective | /ˌɑː.tɪˈfɪʃ.əl/ | Man-made; made by humans; of artifice. |
| filter noun | /ˈfɪltɚ/ | A device which separates a suspended, dissolved, or particulate matter from a fluid, solution, or other substance; any device that separates one substance from… |
| explore verb | /ɪkˈsploɹ/ | To examine or investigate something systematically. |
| define verb | /dɪˈfaɪn/ | To determine with precision; to mark out with distinctness; to ascertain or exhibit clearly. |
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | being programmed · are fed |
| Fiil + -ing enjoy, keep, stop… + -ing — ardından -ing biçimi gelen fiiller | practice solving · starts recognizing |
| Present continuous am/is/are + -ing — şu anda ya da bu sıralar olan bir şey | we're looking · is transforming |
Pronunciation to watch
The speaker uses 5 contractions and reduced forms, such as doesn't, don't, we'll. Say them the short way, as you hear them.
- The “th” sounds: algorithm /ˈælɡəɹɪðm̩/, mathematics /mæθ(.ə)ˈmæt.ɪks/
- The “sh” and “zh” sounds: prediction /pɹɪˈdɪkʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/
- Long words — get the stress right: accurately /ˈæk.jə.ɹɪt.li/, mathematics /mæθ(.ə)ˈmæt.ɪks/, artificial /ˌɑː.tɪˈfɪʃ.əl/
How to practise with this video
- Listen to the whole video once without speaking and note the words you do not know.
- Start at 0.75× speed, shadow it sentence by sentence, then go back to normal speed once it feels easy.
- Record yourself and compare with the original, paying attention to words like algorithm, prediction, accurately.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.