このコースについて

617,202 最近の表示
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
初級レベル
約22時間で修了
英語
字幕:英語

学習内容

  • Y​ou will understand the basic of how modern machine learning technologies work

  • Y​ou will be able to explain and predict how data affects the results of machine learning

  • Y​ou will be able to use a non-programming based platform train a machine learning module using a dataset

  • Y​ou will be able to form an informed opinion on the benefits and dangers of machine learning to society

共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
初級レベル
約22時間で修了
英語
字幕:英語

提供:

ロンドン大学(University of London) ロゴ

ロンドン大学(University of London)

シラバス - 本コースの学習内容

コンテンツの評価Thumbs Up95%(3,418 件の評価)Info
1

1

6時間で修了

Machine learning

6時間で修了
6件のビデオ (合計27分), 2 readings, 3 quizzes
6件のビデオ
Artificial intelligence4 分
Machine learning6 分
Machine learning algorithms6 分
Interview with Machine Learning Experts7 分
Summary1 分
2件の学習用教材
Welcome to Machine Learning for All10 分
Machine learning exercise15 分
3の練習問題
Computers that see20 分
Alpha Go30 分
Machine Learning Summative Quiz1 時間
2

2

3時間で修了

Data Features

3時間で修了
7件のビデオ (合計36分)
7件のビデオ
The bit3 分
Bytes and numbers4 分
Other types of data6 分
Introduction to Data Features41
Data features3 分
Neural networks6 分
Interview: Data Features11 分
2の練習問題
Bag of Words30 分
Data Features Summative Quiz1 時間
3

3

6時間で修了

Machine Learning in Practice

6時間で修了
6件のビデオ (合計37分), 3 readings, 1 quiz
6件のビデオ
Testing2 分
Problems with machine learning3 分
Applications of machine learning3 分
Dangers of machine learning8 分
Interview: Benefits and Dangers of Machine Learning18 分
3件の学習用教材
Trying different datasets15 分
Evaluating the four datasets15 分
Further Reading10 分
1の練習問題
Machine Learning in Practice Summative Quiz1 時間
4

4

7時間で修了

Your Machine Learning Project

7時間で修了
4件のビデオ (合計16分), 2 readings, 2 quizzes
4件のビデオ
Collecting a dataset3 分
Interview: Advice for your first Machine Learning Project10 分
Summary1 分
2件の学習用教材
Collecting a dataset15 分
What's next?10 分
1の練習問題
Preparing for your machine learning project15 分

レビュー

MACHINE LEARNING FOR ALL からの人気レビュー

すべてのレビューを見る

よくある質問

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。