Art and Science of Machine Learning 日本語版 from Coursera

What's inside

Syllabus

概要

「Art and Science of Machine Learning」へようこそ。このコースでは、機械学習モデルの詳細な調整や最適化によって最高のパフォーマンスを実現するために必要な、機械学習の知識、適切な判断、テストの基本的なスキルについて説明します。正則化の手法を使用してモデルを一般化する方法と、ハイパーパラメータの影響について学習します（モデルのパフォーマンスに対するバッチサイズや学習率の影響など）。一般的なモデル最適化アルゴリズムをいくつか説明し、TensorFlow コードで最適化メソッドを指定する方法を示します。

機械学習の実践

このモジュールでは、モデルのパフォーマンス改善に向けてバッチサイズと学習率を調整する方法、モデルを最適化する方法、TensorFlow コードにコンセプトを適用する方法を学習します。

ハイパーパラメータの調整

このモジュールでは、パラメータとハイパーパラメータを区別する方法を学習します。その後、従来のグリッド検索のアプローチについて確認し、よりスマートなアルゴリズムを使用することでグリッド検索の枠を超えて考える方法を学習します。最後に、Cloud ML Engine によってハイパーパラメータ調整の自動化が便利になる仕組みを学習します。

機械学習の理論

このモジュールでは、機械学習の理論と実践について説明します。まず、シンプルで簡潔なモデルを作成できるように、スパース性を実現する正則化の実行方法について説明します。次に、ロジスティック回帰について説明し、パフォーマンスが決まる仕組みを学習します。

ニューラルネットワークの理論

このモジュールでは、特にニューラルネットワークを使用した理論について詳しく説明します。

埋め込み

このモジュールでは、埋め込みを使用して、疎データを管理する方法と、疎データを使用する機械学習モデルのメモリ消費量を減らしてトレーニングを高速化する方法を学習します。埋め込みはディメンション数を削減する方法でもあり、その結果として、モデルをより単純で一般化できるようになります。

まとめ

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Delves into the nitty-gritty of machine learning model tuning and optimization, empowering learners to maximize performance

Incorporates real-world examples and TensorFlow code samples, providing practical applications of concepts

Explores the theoretical underpinnings of machine learning, from regularization techniques to neural network theory, fostering a comprehensive understanding

Taught by Google Cloud Training, experts in the field, ensuring learners benefit from industry-leading knowledge

Covers advanced topics such as hyperparameter tuning and embedding, catering to learners seeking to deepen their expertise

Requires prior knowledge and experience in machine learning, making it more suitable for intermediate learners

Reviews summary

Ml fundamentals and optimization

This course combines elements of machine learning fundamentals with a practical approach to optimization, providing learners with the building blocks they need to understand and improve upon machine learning models.

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Art and Science of Machine Learning 日本語版 with these activities:

TensorFlow のチュートリアルを完了する

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TensorFlow のチュートリアルを完了することで、機械学習モデルの最適化とハイパーパラメータ調整のための TensorFlow の使用法を深く理解することができます。

Browse courses on TensorFlow

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公式の TensorFlow チュートリアルを見つける
チュートリアルに沿って手順を実際に実行する
チュートリアルで学んだ概念を、独自のプロジェクトに適用してみる

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Career center

Learners who complete Art and Science of Machine Learning 日本語版 will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers are responsible for developing and deploying machine learning models. They work closely with data scientists to identify and prepare data for modeling, and then they build and train models using a variety of machine learning algorithms. The Art and Science of Machine Learning course provides a solid foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Machine Learning Engineers. This course can help Machine Learning Engineers to develop the skills and knowledge they need to be successful in their careers.

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Data Scientist

Data Scientists use machine learning and other statistical techniques to extract insights from data. They work with businesses to identify and solve problems, and they develop models that can be used to make predictions and decisions. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Data Scientists. This course can help Data Scientists to develop the skills and knowledge they need to be successful in their careers.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work with businesses to understand their needs, and then they design and develop software solutions that meet those needs. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Software Engineers. This course can help Software Engineers to develop the skills and knowledge they need to build and maintain software applications that use machine learning.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze financial data and make investment decisions. They work with investment banks, hedge funds, and other financial institutions to develop and implement trading strategies. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Quantitative Analysts. This course can help Quantitative Analysts to develop the skills and knowledge they need to be successful in their careers.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical techniques to solve problems in business and industry. They work with businesses to identify and solve problems, and they develop models that can be used to make decisions. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Operations Research Analysts. This course can help Operations Research Analysts to develop the skills and knowledge they need to be successful in their careers.

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Data Analyst

Data Analysts use data to identify trends and patterns, and they develop reports and visualizations to communicate their findings. They work with businesses to understand their needs, and then they use data to help them make better decisions. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Data Analysts. This course can help Data Analysts to develop the skills and knowledge they need to be successful in their careers.

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Business Analyst

Business Analysts use data and analysis to identify and solve problems in business. They work with businesses to understand their needs, and then they use data to help them make better decisions. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Business Analysts. This course can help Business Analysts to develop the skills and knowledge they need to be successful in their careers.

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Statistician

Statisticians use mathematical and statistical techniques to analyze data and draw conclusions. They work with businesses, governments, and other organizations to help them make informed decisions. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Statisticians. This course can help Statisticians to develop the skills and knowledge they need to be successful in their careers.

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Market Researcher

Market Researchers use data and analysis to understand consumer behavior and trends. They work with businesses to help them develop and market their products and services. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Market Researchers. This course can help Market Researchers to develop the skills and knowledge they need to be successful in their careers.

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Product Manager

Product Managers are responsible for the development and marketing of products. They work with engineers, designers, and marketers to bring products to market and ensure that they meet the needs of customers. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Product Managers. This course can help Product Managers to develop the skills and knowledge they need to be successful in their careers.

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Financial Analyst

Financial Analysts use data and analysis to make investment decisions. They work with businesses, governments, and other organizations to help them make informed decisions about their investments. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Financial Analysts. This course can help Financial Analysts to develop the skills and knowledge they need to be successful in their careers.

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Consultant

Consultants provide advice and guidance to businesses and organizations. They work with clients to identify and solve problems, and they develop recommendations that can help clients achieve their goals. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Consultants. This course can help Consultants to develop the skills and knowledge they need to be successful in their careers.

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Teacher

Teachers educate students in a variety of subjects. They work with students to help them learn and grow, and they develop lesson plans and activities that can help students succeed. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Teachers. This course can help Teachers to develop the skills and knowledge they need to be successful in their careers.

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Researcher

Researchers conduct research in a variety of fields. They work to discover new knowledge and develop new theories, and they publish their findings in academic journals. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Researchers. This course can help Researchers to develop the skills and knowledge they need to be successful in their careers.

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Writer

Writers create written content for a variety of purposes. They work with businesses, organizations, and individuals to develop written content that can inform, persuade, or entertain. The Art and Science of Machine Learning course provides a strong foundation in the principles of machine learning, and it covers a wide range of topics that are relevant to the work of Writers. This course can help Writers to develop the skills and knowledge they need to be successful in their careers.

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