Shadowing Practice: #1 Machine Learning Specialization [Course 1, Week 1, Lesson 1] - Learn English Speaking with Video
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34 משפטים
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1
Welcome to machine learning.
2
What is machine learning?
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You probably use it many times a day without even knowing it.
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Anytime you want to find out something like, how do I make a sushi roll?
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You can do a web search on Google, Bing, or Baidu to find out.
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And that works so well because their machine learning software has figured out how to rank web pages.
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Or when you upload pictures to instagram or snapchat
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and think to yourself i want to tag my friends so they can see their pictures
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well these apps can recognize your friends in your pictures
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and label them as well that's also machine learning or
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if you've just finished watching a star wars movie on a video streaming service
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and you think what other similar movies could i watch well
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the streaming service will likely use machine learning to recommend something
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that you might like each time you use voice to text
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on your phone to write a text message hey Andrew how's it going
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or tell your phone hey Siri play a song by Rihanna
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or ask your other phone okay Google show me Indian restaurants
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near me that's also machine learning each time you receive an
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email titled congratulations you've won a million dollars well maybe you're rich congratulations
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or more likely your email service will probably flag it as spam.
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That too is an application of machine learning.
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Beyond consumer applications that you might use, AI is also rapidly making its way into big companies and into industrial applications. For example,
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I'm deeply concerned about climate change and I'm glad to see
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that machine learning is already hoping to optimize wind turbine power a generation.
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Or in healthcare, it's starting to make its way into hospitals to help doctors make accurate diagnoses.
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For recently, at Learning AI, I've been doing a lot of work putting computer vision into factories to help inspect
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if something coming off the assembly line has any defects.
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That's machine learning.
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It's a science of getting computers to learn without being explicitly programmed.
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In this class, you learn about machine learning and get to implement machine learning in code yourself.
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Millions of others have taken the earlier version of this course, which is a course that led to the founding of Coursera,
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and many learners ended up building exciting machine learning systems or even pursuing very successful careers in AI.
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I'm excited that you're on this journey with me.
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Welcome, and let's get started.
הורד אפליקציה
כל מה שאתה צריך כדי לדבר בשטף
הגיית AIציון לכל משפט
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אוצר מיליםבנה את מאגר המילים שלך
משחק אוצר מיליםלמד תוך כדי משחק
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Vocabulary and speaking notes for this lesson
This speaking lesson is built on the video “Machine Learning Specialization”. The speaker keeps coming back to these words: learning, machine, application, pictures. This video has 34 sentences and 418 words to shadow. The speech runs for 2:38. The speaker talks at a natural 158 words per minute, close to everyday conversation. 85% 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
15 words from the video worth learning, with pronunciation and meaning:
| Word | Pronunciation | Meaning |
|---|---|---|
| congratulations | /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/ | Expressing praise and approval, expressing approbation. |
| deeply adverb | /ˈdi(ː)pli/ | To a deep extent or degree; very greatly. |
| rank noun | /ˈɹæŋk/ | A row of people or things organized in a grid pattern, often soldiers. |
| label noun | /ˈleɪ.bəl/ | A small ticket or sign giving information about something to which it is attached or intended to be attached. |
| rapidly adverb | /ˈɹæpɪdli/ | With speed; in a rapid manner. |
| pursue verb | /pɚˈsu/ | To follow urgently, originally with intent to capture or harm; to chase. |
| diagnosis noun | /daɪəɡˈnəʊsɪs/ | The process of, or an instance of, identification of the nature and cause of a medical condition or illness. |
| implement verb | /ˈɪmpləmənt/ | To bring about; to put into practice; to carry out. |
| anytime adverb | At any time. | |
| spam noun | /spæm/ | Any undesired electronic content automatically generated for commercial purposes. |
| upload verb | /ˈʌpˌloʊd/ | To transfer data to a computer on a network, especially to a server on the Internet. |
| explicitly adverb | In an explicit manner. | |
| defect noun | /ˈdiːfɛkt/ | A fault or malfunction. |
| sushi noun | /ˈsuːʃi/ | A Japanese dish made of small portions of sticky white rice flavored with vinegar, usually wrapped in seaweed and filled or topped with fish, vegetables or… |
| inspect verb | /ɪnˈspɛkt/ | To examine critically or carefully; especially, to search out problems or determine condition; to scrutinize. |
Phrasal verbs you will hear
| Word | Meaning |
|---|---|
| find out verb | To discover, as by asking or investigating. |
| come off verb | To become detached. |
| end up verb | To bring to a conclusion. |
| figure out verb | To come to understand; to discover or find a solution; to deduce. |
Pronunciation to watch
The speaker uses 8 contractions and reduced forms, such as I'm, you're, you've. Say them the short way, as you hear them.
- The “sh” and “zh” sounds: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, sushi /ˈsuːʃi/
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 congratulations, deeply, rank.
מהי טכניקת השאדואינג?
שאדואינג היא טכניקת למידת שפה מבוססת מדע שפותחה במקור להכשרת מתורגמנים מקצועיים ופופולרית על ידי הפוליגלוט ד"ר אלכסנדר ארגואלס. השיטה פשוטה אך עוצמתית: אתה מקשיב לאודיו באנגלית ילידית וחוזר עליו בקול רם מיד — כמו צל העוקב אחרי הדובר עם עיכוב של 1–2 שניות בלבד. בניגוד להאזנה פסיבית או תרגילי דקדוק, שאדואינג מכריח את המוח והשרירים בפה לעבד ולשחזר דפוסי דיבור אמיתיים בו זמנית. מחקרים מראים שזה משפר משמעותית את דיוק ההגייה, האינטונציה, הקצב, הדיבור המחובר, הבנת השמיעה ושטף הדיבור — מה שהופך אותו לאחת השיטות היעילות ביותר להכנה לIELTS Speaking ולתקשורת באנגלית בעולם האמיתי.