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Feature Engineering auf Deutsch

Sie möchten erfahren, wie Sie die Genauigkeit Ihrer maschinellen Lernmodelle verbessern oder wie Sie herausfinden, welche Datenspalten die nützlichsten Funktionen ergeben? Willkommen zum Feature Engineering mit der Google Cloud Platform. Wir erörtern in diesem Kurs nützliche und nutzlose Funktionen und wie Sie diese für die optimale Nutzung in Ihren maschinellen Lernmodellen vorverarbeiten und umwandeln. In praktischen, interaktiven Labs lernen Sie, Funktionen auszuwählen und mit der Google Cloud Platform vorzuverarbeiten. Unsere Kursleiter präsentieren Ihnen die Code-Lösungen, die zu Referenzzwecken auch öffentlich gemacht werden...

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Utilizes hands-on learning through interactive labs

Provides foundational knowledge on feature engineering

Enhances existing knowledge and skills for intermediate learners

Code solutions are provided for reference and future projects

Course materials are relevant to machine learning development

May require existing background knowledge in machine learning

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Career center

Learners who complete Feature Engineering auf Deutsch will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. This course on Feature Engineering can help you learn how to prepare and transform data to develop more accurate machine learning models, which is essential for success in this role.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve business problems. This course on Feature Engineering can help you learn how to prepare and transform data to develop more accurate machine learning models, which are essential for data science.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst uses data to answer questions, identify trends, and make predictions. This course on Feature Engineering can help you learn how to prepare and transform data to develop more accurate machine learning models, which are essential for data analysis.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians use data to solve problems. This course on Feature Engineering can help you learn how to prepare and transform data to develop more accurate machine learning models, which are essential for statistics.

See salaries and explore the career path for Statistician

Business Analyst

Business Analysts help businesses improve their performance by analyzing data and identifying opportunities for improvement. This course on Feature Engineering can help you understand how to prepare and transform data to develop more accurate machine learning models, which can be used to identify trends and make predictions.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers develop and manage products. This course on Feature Engineering may be useful for Product Managers who want to learn how to use data to improve their products.

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Data Engineer

Data Engineers build and maintain data pipelines. This course on Feature Engineering may be useful for Data Engineers who want to learn how to prepare and transform data to develop more accurate machine learning models.

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Quantitative Analyst

Quantitative Analysts use data to make investment decisions. This course on Feature Engineering may be useful for Quantitative Analysts who want to learn how to develop more accurate machine learning models.

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Actuary

Actuaries use data to assess risk. This course on Feature Engineering may be useful for Actuaries who want to learn how to develop more accurate machine learning models.

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Market Researcher

Market Researchers use data to understand consumer behavior. This course on Feature Engineering may be useful for Market Researchers who want to learn how to develop more accurate machine learning models.

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Data Journalist

Data Journalists use data to tell stories. This course on Feature Engineering may be useful for Data Journalists who want to learn how to develop more accurate machine learning models.

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Operations Research Analyst

Operations Research Analysts use data to improve the efficiency and effectiveness of organizations. This course on Feature Engineering may be useful for Operations Research Analysts who want to learn how to develop more accurate machine learning models.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course on Feature Engineering may be useful for Software Engineers who want to learn how to develop more accurate machine learning models.

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Financial Analyst

Financial Analysts use data to make investment decisions. This course on Feature Engineering may be useful for Financial Analysts who want to learn how to develop more accurate machine learning models.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use data to assess risk. This course on Feature Engineering may be useful for Risk Analysts who want to learn how to develop more accurate machine learning models.

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Via

Coursera

Institution

Google Cloud

Instructor

Google Cloud Training

This course belongs to a collection called Machine Learning with TensorFlow on Google Cloud Platform auf Deutsch. It's comprised of five courses:

Launching into Machine Learning auf Deutsch
Feature Engineering auf Deutsch (viewing)
Art and Science of Machine Learning auf Deutsch
How Google does Machine Learning auf Deutsch
Intro to TensorFlow auf Deutsch

Good to know

Utilizes hands-on learning through interactive labs

Provides foundational knowledge on feature engineering

Enhances existing knowledge and skills for intermediate learners

Code solutions are provided for reference and future projects

Course materials are relevant to machine learning development

May require existing background knowledge in machine learning

Share and help others discover this course.

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