How Google does Machine Learning 日本語版

Go to Course: https://www.coursera.org/learn/google-machine-learning-jp

Introduction

### Course Recommendation: How Google Does Machine Learning 日本語版 **Course Overview:** The "How Google Does Machine Learning 日本語版" course on Coursera is an exceptional opportunity for learners interested in exploring the best practices for implementing machine learning using Google Cloud. This course is particularly beneficial for those who want to understand Vertex AI, a powerful platform that enables users to quickly build, train, and deploy AutoML machine learning models without writing a single line of code. With a strong emphasis on Google’s unique perspective on machine learning, the course discusses various components of the Vertex AI platform, including managed datasets, feature stores, and tools to structure and deploy machine learning models efficiently. It also highlights how Google utilizes popular frameworks such as TensorFlow, SciKit Learn, Pytorch, and R to enhance productivity and streamline the workflows of machine learning practitioners. **Course Syllabus Highlights:** The course is structured into several modules that cover a range of fundamental topics: 1. **Course Overview:** An introduction to the course structure and the experts from Google who will lead the discussions. 2. **AI First:** Understanding Google's AI-first strategy and its implications in the context of the tech industry. 3. **Google’s ML Initiatives:** Insights into the extensive experience and knowledge Google has accumulated as an organization engaged in machine learning over the years. 4. **Inclusive ML:** A vital discussion on the fairness of machine learning systems and key considerations when incorporating ML into products. 5. **Cloud Python Notebooks:** An overview of the role of AI Platform Notebooks in facilitating machine learning tasks. 6. **Summary:** A recap of the main topics covered in the course to reinforce learning outcomes. **Review and Analysis:** This course stands out not only because it is delivered by Google experts, but also because it leverages real-world applications of machine learning, making it relevant for both beginners and seasoned professionals. The curriculum is thoughtfully designed, starting from fundamental concepts to more advanced applications, ensuring a comprehensive learning journey. The module on "Inclusive ML" is particularly noteworthy, as it addresses essential ethical considerations in machine learning—something that is often overlooked in many technical courses. This demonstrates Google’s commitment not just to technological advancement, but also to social responsibility. The use of AutoML and integration with Google Cloud services allows learners to gain hands-on experience without the initial barrier of coding proficiency, making the course accessible to a wider audience. **Recommendation:** I highly recommend the "How Google Does Machine Learning 日本語版" course for anyone interested in the field of machine learning, regardless of their prior knowledge. Whether you are a developer looking to enhance your skill set, a data scientist wanting to leverage Google Cloud capabilities, or a business professional keen on understanding how AI can be integrated into your work, this course offers invaluable insights and practical knowledge. The combination of expert instruction, a well-structured syllabus, and a focus on ethical considerations sets this course apart as a premier choice for learning about machine learning within the context of one of the world’s leading tech companies. Don’t miss this chance to deepen your understanding of machine learning and explore Google’s innovative methodologies.

Syllabus

コースの概要

この専門講座の概要と、講座を担当する Google のエキスパートを紹介します。

Google が自社の企業戦略は AI ファーストであると説明する際の意味と、実際の意味について学びます。

このモジュールでは、Google が長年にわたって蓄積してきた組織としてのノウハウについて説明します。

このモジュールでは、機械学習システムがデフォルトでは公平でない理由と、機械学習をプロダクトに導入する際に留意しなければならないいくつかの事項について説明します。

AI Platform Notebooks の役割を理解する

この専門講座で取り上げる機械学習の主なトピックを確認します。