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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...
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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...
Read more
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, während Sie an Ihren eigenen zukünftigen ML-Projekten arbeiten.
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what to watch for , and
possible dealbreakers
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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Feature Engineering auf Deutsch.
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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 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.
Data Scientist
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.
Data Analyst
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.
Statistician
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.
Business Analyst
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.
Product Manager
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.
Data Engineer
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.
Quantitative Analyst
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.
Actuary
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.
Market Researcher
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.
Data Journalist
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.
Operations Research Analyst
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.
Software Engineer
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.
Financial Analyst
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.
Risk 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.
For more career information including salaries, visit:
OpenCourser.com/course/i0n4oz/feature
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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
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