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Feature Engineering en Français

Vous voulez en savoir plus sur Vertex AI Feature Store ? Vous souhaitez découvrir comment améliorer la précision de vos modèles de ML ? Comment déterminer les colonnes de données présentant les caractéristiques les plus utiles ? Bienvenue dans le cours "Feature Engineering", dans lequel vous apprendrez à distinguer les caractéristiques pertinentes de celles qui ne le sont pas. Vous verrez aussi comment les prétraiter et les transformer pour les utiliser de manière optimale dans vos modèles. Ce cours inclut du contenu et des ateliers portant sur l'extraction de caractéristiques à l'aide de BigQuery ML, Keras et TensorFlow.

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What's inside

Syllabus

Présentation

Ce module présente le cours et ses objectifs.

Présentation de Vertex AI Feature Store

Ce module présente Vertex AI Feature Store.

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Read about what's good

what should give you pause

and possible dealbreakers

Développe une solide base pour les apprenants débutants

Renforce des bases existantes pour des apprenants de niveau intermédiaire

Explore l'extraction de caractéristiques, qui est un élément important dans le développement de projets de ML

Utilise BigQuery ML, Keras et TensorFlow, des outils largement utilisés dans l'industrie ML

Couvre l'utilisation de TensorFlow Transform, une bibliothèque de prétraitement des données utilisée par TensorFlow

Convient aux apprenants ayant une expérience préalable en ML ou une connaissance des statistiques

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Reviews summary

Ingénierie des caractéristiques avec gcp et vertex ai

Selon les apprenants, ce cours sur l'ingénierie des caractéristiques est largement positif, particulièrement apprécié pour ses laboratoires pratiques et son orientation vers les outils Google Cloud, notamment Vertex AI Feature Store et TensorFlow Transform (tf.Transform). Les étudiants trouvent que le contenu est pertinent pour une application réelle dans le domaine du ML. Cependant, il est fréquemment noté que le cours nécessite des bases solides en machine learning et en GCP, et que le rythme peut être rapide pour les débutants ou ceux sans expérience préalable. L'équilibre entre théorie et pratique est généralement vu comme penché vers le pratique, ce qui est un atout pour beaucoup.

Plus axé sur l'application que la théorie.

"Parfois, les explications théoriques pourraient être plus approfondies, mais les exercices pratiques compensent bien."

"Assez technique. Les labs aident à comprendre, mais la théorie n'est pas toujours facile d'accès."

Fortement axé sur l'écosystème GCP.

"Excellent cours, couvre bien les bases du Feature Engineering et l'intégration avec Google Cloud."

"Très orienté GCP, ce qui est normal vu l'éditeur. Bon pour ceux qui utilisent déjà cette plateforme."

"Le cours est à jour et montre les bonnes pratiques avec les outils Google Cloud."

Couvre les pratiques actuelles.

"Le module sur Vertex AI Feature Store est particulièrement pertinent pour mon travail."

"Le cours est à jour et montre les bonnes pratiques avec les outils Google Cloud."

"Excellente ressource pour le Feature Engineering."

Exercices concrets et utiles.

"Excellent cours... Les labs sont très utiles et concrets. J'ai pu appliquer les concepts rapidement."

"J'ai apprécié les labs."

"Le cours est à jour et montre les bonnes pratiques avec les outils Google Cloud... Labs bien expliqués."

"Les démos sont claires et le code fourni fonctionne bien."

Peut être difficile sans prérequis.

"Difficile à suivre sans un bon niveau préalable en ML et GCP. Manque d'explications pour débutants."

"Assez technique... Nécessite de solides bases."

"Le cours est dense par moments. Il faut avoir une bonne base en ML avant de commencer."

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 Feature Engineering en Français with these activities:

Revisiter les notions de Machine Learning

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Rafraîchissez vos connaissances sur les concepts fondamentaux du Machine Learning pour mieux comprendre les techniques d'extraction de caractéristiques avancées.

Browse courses on Machine Learning

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Revoir les types d'algorithmes de Machine Learning supervisés et non supervisés
Réviser les techniques d'évaluation des modèles de Machine Learning
Revoir les techniques de préparation des données pour le Machine Learning

Review your notes or textbooks from previous courses related to statistics and linear algebra

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Strengthen your foundational knowledge in statistics and linear algebra to enhance your understanding of feature engineering concepts.

Browse courses on Statistics

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Gather your notes or textbooks from previous courses.
Review key concepts and formulas related to statistics and linear algebra.
Solve practice problems or take quizzes to test your understanding.

Review your knowledge of ML basics

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Reinforce your existing knowledge of basic ML concepts to better prepare for the course material.

Browse courses on ML Fundamentals

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Revise your notes or textbooks from previous ML courses.
Take practice quizzes or mock exams to test your understanding.
Watch online tutorials or videos to refresh your memory.

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Revoyez les concepts de base du machine learning

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Comblez les lacunes de vos connaissances en revoyant les fondamentaux du ML.

Browse courses on Machine Learning

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Relisez les notes de cours ou les manuels sur le ML.
Résolvez des exercices et des problèmes pratiques.
Visionnez des vidéos ou des tutoriels en ligne sur le ML.

Participate in peer study groups

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Engage with other students to exchange knowledge, clarify concepts, and reinforce your understanding.

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Join online forums or discussion groups related to feature engineering.
Participate in discussions, ask questions, and share your insights.
Form study groups with classmates to review course material and work on projects together.

Participez à un groupe d'étude sur TensorFlow Transform

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Améliorez votre maîtrise de TensorFlow Transform en collaborant avec vos pairs.

Browse courses on TensorFlow Transform

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Rejoignez un groupe d'étude ou créez-en un.
Fixez des objectifs d'apprentissage pour le groupe.
Organisez des réunions régulières pour discuter des concepts de TensorFlow Transform.
Travaillez ensemble sur des projets et des exercices pratiques.

Follow tutorials on feature engineering

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Supplement your course material with guided tutorials to gain a deeper understanding of feature engineering techniques.

Browse courses on Feature Engineering

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Search for online tutorials or courses on feature engineering.
Follow along with the tutorials, applying the concepts to practice datasets.
Experiment with different feature engineering methods to observe their impact.

Pratiquez l'extraction de caractéristiques à l'aide de BigQuery ML et Keras

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Renforcez votre compréhension de l'extraction de caractéristiques en vous exerçant avec des outils réels.

Browse courses on BigQuery ML

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Importez vos données dans BigQuery ML.
Utilisez BigQuery ML pour extraire les caractéristiques de vos données.
Chargez vos caractéristiques dans Keras.
Entraînez un modèle de ML en utilisant vos caractéristiques.
Évaluez les performances de votre modèle.

Complete practice exercises on feature extraction

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Enhance your understanding of feature extraction techniques through hands-on practice.

Browse courses on Feature Extraction

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Find online platforms or resources that offer practice exercises.
Work through the exercises, experimenting with different feature extraction methods.
Compare the results of your feature extraction and identify patterns.

Write blog posts or articles on feature engineering

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Solidify your understanding by creating content that explains feature engineering concepts to others.

Browse courses on Technical Writing

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Identify a specific topic or aspect of feature engineering that you want to write about.
Research and gather information from credible sources.
Write a clear and concise blog post or article, explaining the topic in a structured way.
Publish your content online and share it with others.

Créez un tutoriel sur les croisements de caractéristiques dans TensorFlow

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Approfondissez votre compréhension des croisements de caractéristiques en créant votre propre guide pédagogique.

Browse courses on TensorFlow

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Définissez les croisements de caractéristiques et leur importance dans le ML.
Expliquez comment créer des croisements de caractéristiques dans TensorFlow.
Fournissez des exemples de code et des démonstrations pratiques.
Publiez votre tutoriel en ligne ou partagez-le avec d'autres.

Career center

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

Data Scientist

As a Data Scientist, you will use a variety of techniques to extract, transform, and analyze data. You will then use your findings to build models that can predict future outcomes. This course can help you develop the skills you need to be successful in this role, which is in high demand across various industries.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design and build models that can learn from data and make predictions. As a Machine Learning Engineer, you will need to have a strong understanding of feature engineering, as it is a key part of the model building process. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts use data to solve business problems. You will need to have a strong understanding of feature engineering in order to extract meaningful insights from data. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. Feature engineering is an important part of the software development process, as it can help to improve the performance and accuracy of software applications. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts use data to help businesses make better decisions. Feature engineering is an important part of the business analysis process, as it can help to identify the most important factors that affect business outcomes. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. Feature engineering is an important part of the product development process, as it can help to identify the features that will be most valuable to customers. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Product Manager

Marketing Analyst

Marketing Analysts use data to help businesses understand their customers and develop marketing campaigns. Feature engineering is an important part of the marketing analysis process, as it can help to identify the most important factors that influence customer behavior. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Marketing Analyst

Sales Analyst

Sales Analysts use data to help businesses understand their sales performance and identify opportunities for growth. Feature engineering is an important part of the sales analysis process, as it can help to identify the most important factors that influence sales outcomes. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Sales Analyst

Financial Analyst

Financial Analysts use data to help businesses make financial decisions. Feature engineering is an important part of the financial analysis process, as it can help to identify the most important factors that affect financial performance. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Financial Analyst

Operations Analyst

Operations Analysts use data to help businesses improve their operations. Feature engineering is an important part of the operations analysis process, as it can help to identify the most important factors that affect operational performance. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Operations Analyst

Statistician

Statisticians use data to solve problems and make predictions. Feature engineering is an important part of the statistical analysis process, as it can help to improve the accuracy and reliability of statistical models. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Statistician

Data Architect

Data Architects design and build data architectures. Feature engineering is an important part of the data architecture process, as it can help to ensure that data is organized in a way that makes it easy to access and analyze. This course will help you build the skills you need to be successful in this role.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators manage and maintain databases. Feature engineering is not a core part of the Database Administrator role, but it can be helpful in certain situations. For example, you may need to use feature engineering to improve the performance of a database query. This course may be useful in building the skills you need to be successful in this role.

See salaries and explore the career path for Database Administrator

IT Manager

IT Managers are responsible for the management of an organization's IT resources. Feature engineering is not a core part of the IT Manager role, but it may be helpful in certain situations. For example, you may need to use feature engineering to improve the performance of an IT system. This course may be useful in building the skills you need to be successful in this role.

See salaries and explore the career path for IT Manager

Project Manager

Project Managers are responsible for the planning, execution, and closing of projects. Feature engineering is not a core part of the Project Manager role, but it may be helpful in certain situations. For example, you may need to use feature engineering to improve the efficiency of a project. This course may be useful in building the skills you need to be successful in this role.

See salaries and explore the career path for Project Manager

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Feature Engineering en Français.

Feature Engineering for Machine Learning

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Ce livre couvre les concepts clés de l'extraction de caractéristiques, de la sélection des caractéristiques et de la transformation des caractéristiques. Il fournit également des exemples pratiques d'utilisation de techniques d'extraction de caractéristiques dans des projets de ML réels.

Feature Engineering en Français

Here's a deal for you

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Ingénierie des caractéristiques avec gcp et vertex ai

Activities

Career center

Reading list

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