Shadowing Practice: #1 Machine Learning Specialization [Course 1, Week 1, Lesson 1] - Learn English Speaking with Video

Ders oluşturuluyor...
1
Welcome to machine learning.
2
What is machine learning?
3
You probably use it many times a day without even knowing it.
4
Anytime you want to find out something like, how do I make a sushi roll?
5
You can do a web search on Google, Bing, or Baidu to find out.
6
And that works so well because their machine learning software has figured out how to rank web pages.
7
Or when you upload pictures to instagram or snapchat
8
and think to yourself i want to tag my friends so they can see their pictures
9
well these apps can recognize your friends in your pictures
10
and label them as well that's also machine learning or
11
if you've just finished watching a star wars movie on a video streaming service
12
and you think what other similar movies could i watch well
13
the streaming service will likely use machine learning to recommend something
14
that you might like each time you use voice to text
15
on your phone to write a text message hey Andrew how's it going
16
or tell your phone hey Siri play a song by Rihanna
17
or ask your other phone okay Google show me Indian restaurants
18
near me that's also machine learning each time you receive an
19
email titled congratulations you've won a million dollars well maybe you're rich congratulations
20
or more likely your email service will probably flag it as spam.
21
That too is an application of machine learning.
22
Beyond consumer applications that you might use, AI is also rapidly making its way into big companies and into industrial applications. For example,
23
I'm deeply concerned about climate change and I'm glad to see
24
that machine learning is already hoping to optimize wind turbine power a generation.
25
Or in healthcare, it's starting to make its way into hospitals to help doctors make accurate diagnoses.
26
For recently, at Learning AI, I've been doing a lot of work putting computer vision into factories to help inspect
27
if something coming off the assembly line has any defects.
28
That's machine learning.
29
It's a science of getting computers to learn without being explicitly programmed.
30
In this class, you learn about machine learning and get to implement machine learning in code yourself.
31
Millions of others have taken the earlier version of this course, which is a course that led to the founding of Coursera,
32
and many learners ended up building exciting machine learning systems or even pursuing very successful careers in AI.
33
I'm excited that you're on this journey with me.
34
Welcome, and let's get started.
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Bu dersin kelimeleri ve konuşma notları

Bu konuşma dersi “Machine Learning Specialization” videosuna dayanıyor. En çok tekrarlanan kelimeler: learning, machine, application, pictures. Bu videoda gölgeleme çalışması için 34 cümle ve 418 kelime var. Konuşma bölümü 2:38 sürüyor. Konuşmacı dakikada yaklaşık 158 kelimeyle, günlük konuşmaya yakın doğal bir hızda konuşuyor. Kelimelerin %85’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.

Bu videodaki önemli kelimeler

Videodan öğrenmeye değer 12 kelime, telaffuzu ve anlamıyla:

KelimeTelaffuzAnlam
congratulations/kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/tebrikler, tebrik ederim
rank isim/ˈɹæŋk/satır
label isim/ˈleɪ.bəl/etiket
pursue fiil/pɚˈsu/kovalamak
diagnosis isim/daɪəɡˈnəʊsɪs/tanı, teşhis
implement fiil/ˈɪmpləmənt/tatbik etmek, uygulamak
anytime zarfne zaman olursa
spam isim/spæm/spam, yığın mesaj
defect isim/ˈdiːfɛkt/eksik, kusur
sushi isim/ˈsuːʃi/suşi
turbine isim/ˈtɜː.baɪn/türbin
excite fiil/ɪkˈsaɪt/heyecanlandırmak

Duyacağınız deyimsel fiiller

KelimeAnlam
find out fiilanlamak, ortaya çıkarmak
figure out fiilaçığa çıkarmak

Dikkat edilecek telaffuzlar

Konuşmacı I'm, you're, you've gibi kısaltılmış biçimleri 8 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

  • “sh” ve “zh” sesleri: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, sushi /ˈsuːʃi/

Türkçe konuşanların zorlandığı sesler:

  • /æ/ — “e”den daha açık: congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, rank /ˈɹæŋk/, rapidly /ˈɹæpɪdli/, spam /spæm/

Bu videoyla nasıl çalışılır

  1. Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
  2. 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
  3. Kendinizi kaydedin ve orijinaliyle karşılaştırın; congratulations, rank, label gibi kelimelere özellikle dikkat edin.

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.

Shadowing tekniği: adım adım eksiksiz rehberi okuyun →