機械学習とはどのようなもので、どのような問題解決に役立つのでしょうか。候補となるユースケースを機械学習で習得できる形に変換する5段階とは、そしてこれらの段階を省略しないことが重要である理由は何でしょうか。今、なぜニューラル ネットワークに注目が集まっているのでしょうか。
Machine Learning with TensorFlow Google Cloud 日本語版 Specialization
Machine Learning with TensorFlow Google Cloud 日本語版 Specialization
Google Cloud で機械学習（ML）について学ぶ. 実践的なデータを使用した包括的な ML 実習
Instructor: Google Cloud Training
Included with 
Get in-depth knowledge of a subject
(50 reviews)
Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(50 reviews)
Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
- Feature Engineering
- Regression Analysis
- Artificial Neural Networks
- MLOps (Machine Learning Operations)
- Machine Learning
- Data Transformation
- Responsible AI
- Application Deployment
- Data Quality
- Data Cleansing
- Exploratory Data Analysis
- Google Cloud Platform
- Supervised Learning
- Big Data
- Applied Machine Learning
- Data Pipelines
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in Japanese
39 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Google Cloud
Specialization - 3 course series
What you'll learn
Skills you'll gain
Tensorflow, Keras (Neural Network Library), Deep Learning, Feature Engineering, Data Pipelines, Application Deployment, Scalability, Applied Machine Learning, Supervised Learning, Data Processing, and Google Cloud Platform
What you'll learn
Vertex AI Feature Store について説明し、良い特徴に必要とされる主な側面を比較する。
BigQuery ML、Keras、TensorFlow を使用して特徴量エンジニアリングを実施する。
Dataflow と Dataprep を使用して特徴の前処理と探索を行う方法について考察する。
tf.Transform を使用する。
Skills you'll gain
Feature Engineering, Keras (Neural Network Library), Data Transformation, Tensorflow, Data Pipelines, Data Processing, Data Modeling, Machine Learning, MLOps (Machine Learning Operations), and Statistical Methods
What you'll learn
Skills you'll gain
Machine Learning, Performance Tuning, Tensorflow, Regression Analysis, Artificial Neural Networks, Google Cloud Platform, Feature Engineering, Dimensionality Reduction, Deep Learning, Financial Analysis, Applied Machine Learning, and Supervised Learning
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
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Frequently asked questions
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コースの購読を終了するためには、画面右上のメニューから”購入済みコース”を選択し、購読を終了したいコースの”購読を終了（Cancel subscription) ”をクリックしてください。
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Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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