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
Discover new skills with 30% off courses from industry experts. Save now.
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
- Artificial Neural Networks
- Feature Engineering
- Exploratory Data Analysis
- Supervised Learning
- Applied Machine Learning
- Machine Learning
- Google Cloud Platform
- Data Quality
- Predictive Modeling
- Unsupervised Learning
- MLOps (Machine Learning Operations)
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Cleansing
- Dataflow
- Machine Learning Algorithms
- Responsible AI
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
Category: Tensorflow
Category: Keras (Neural Network Library)
Category: Deep Learning
Category: Feature Engineering
Category: Data Pipelines
Category: Application Deployment
Category: Scalability
Category: Google Cloud Platform
Category: Supervised Learning
Category: Applied Machine Learning
Category: Data Processing
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
Category: Feature Engineering
Category: Keras (Neural Network Library)
Category: Data Transformation
Category: Tensorflow
Category: Dataflow
Category: MLOps (Machine Learning Operations)
Category: Data Processing
Category: Machine Learning
Category: Applied Machine Learning
Category: Data Modeling
Category: Data Cleansing
What you'll learn
Skills you'll gain
Category: Machine Learning
Category: Tensorflow
Category: Google Cloud Platform
Category: Regression Analysis
Category: Deep Learning
Category: Performance Tuning
Category: Artificial Neural Networks
Category: Dimensionality Reduction
Category: Supervised Learning
Category: Financial Analysis
Category: Feature Engineering
Category: Applied Machine 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
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
コースを修了後または、途中でコースを終了したい場合は、コースの購読を終了する必要があります。購読を終了しないと、引き続き課金が発生します。
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。
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
More questions
Financial aid available,