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Applying Machine Learning to Your Data with GC - Français

Google Cloud Training

Dans ce cours, nous définirons ce qu'est le machine learning et ce qu'il peut apporter à votre entreprise. Vous verrez quelques démonstrations de l'utilisation du ML et découvrirez ses termes clés, comme instances, caractéristiques et étiquettes. Lors des ateliers interactifs, vous vous entraînerez à appeler les API de ML préentrainées disponibles et à construire vos propres modèles de machine learning en utilisant simplement SQL avec BigQuery ML.

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What's inside

Syllabus

Introduction

Présentation des points abordés dans ce cours

Présentation du machine learning

Dans ce module, nous définirons ce qu'est le machine learning et ce qu'il peut apporter à votre entreprise. Vous verrez quelques démonstrations de l'utilisation du ML et découvrirez ses termes clés, comme instances, caractéristiques et étiquettes.

API de ML pré-entraînées

Dans ce module, nous nous pencherons sur les modèles de ML prédéfinis et pré-entraînés auxquels nous pouvons accéder (comme la reconnaissance d'images ou l'analyse de sentiments) dans Cloud Datalab.

Création d'ensembles de données de ML dans BigQuery

Apprendre à créer des ensembles de données de ML avec BigQuery

Création de modèles de ML dans BigQuery

Dans ce module, vous allez apprendre à créer des modèles de machine learning directement dans BigQuery. Vous découvrirez la nouvelle syntaxe et travaillerez sur les phases de création, d'évaluation et de test d'un modèle de ML.

Récapitulatif de fin du cours

Ce cours touche à sa fin. Passons en revue les leçons apprises durant le cours et les ressources disponibles pour poursuivre l'apprentissage.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduit les concepts de base du machine learning, ce qui est essentiel pour comprendre les applications de ce domaine

Présente les API de machine learning pré-entraînés de Google Cloud, ce qui permet aux débutants d'expérimenter rapidement le machine learning

Enseigne comment créer des ensembles de données de machine learning dans BigQuery, ce qui est une compétence essentielle pour les data scientists travaillant avec de grands ensembles de données

Guide les participants dans la création de modèles de machine learning directement dans BigQuery, ce qui simplifie le processus de modélisation

Offre une introduction pratique au machine learning avec BigQuery ML, ce qui est idéal pour les débutants cherchant à acquérir des compétences pratiques

Nécessite une connaissance préalable de SQL et de BigQuery, ce qui peut être un obstacle pour les participants sans expérience dans ces domaines

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Career center

Learners who complete Applying Machine Learning to Your Data with GC - Français will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists develop, build, and maintain machine learning models. They use statistical modeling, programming, and data analysis to solve a wide variety of business problems in industries ranging from healthcare to finance. This course introduces the fundamentals of machine learning and provides hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Data Scientist and can serve as a bridge between your theoretical knowledge and practical experience.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning systems. They work closely with Data Scientists to turn machine learning models into real-world applications. This course provides a foundation in machine learning and hands-on experience in using BigQuery ML to build and deploy models. It can help you develop the skills needed to become a Machine Learning Engineer and can serve as a bridge between your theoretical knowledge and practical experience.

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Business Analyst

Business Analysts use data to identify and solve business problems. They work with stakeholders to understand the business needs and then use data analysis to develop solutions. This course introduces the fundamentals of machine learning and provides hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Business Analyst and can serve as a bridge between your theoretical knowledge and practical experience.

See salaries and explore the career path for Business Analyst

Data Analyst

Data Analysts work with data, transforming raw data into useful information. They use statistical modeling, programming, and data analysis to find patterns and trends, which can be used by businesses to make better decisions. This course introduces the fundamentals of machine learning and provides hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Data Analyst and can serve as a bridge between your theoretical knowledge and practical experience.

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Data Engineer

Data Engineers build and maintain the data infrastructure that supports machine learning and other data-driven applications. They work with large datasets, designing and implementing data pipelines to ensure that data is clean, consistent, and accessible. This course introduces the fundamentals of machine learning and provides hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Data Engineer and can serve as a bridge between your theoretical knowledge and practical experience.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Software Engineer and can serve as a bridge between your theoretical knowledge and practical experience.

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Product Manager

Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to life and ensure that they meet the needs of users. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Product Manager and can serve as a bridge between your theoretical knowledge and practical experience.

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Marketer

Marketers develop and execute marketing campaigns to reach target audiences and promote products and services. They use a variety of marketing channels, including digital marketing, social media, and email marketing. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Marketer and can provide additional insights into data-driven marketing techniques.

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Financial Analyst

Financial Analysts use financial data to make investment decisions. They work with companies, governments, and individuals to provide financial advice and recommendations. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Financial Analyst and can provide additional insights into data-driven investment strategies.

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Consultant

Consultants provide expert advice to businesses and organizations. They work with clients to identify and solve problems, improve performance, and achieve goals. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Consultant and can provide additional insights into data-driven consulting techniques.

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Operations Manager

Operations Managers oversee the day-to-day operations of a business or organization. They work with employees, customers, and suppliers to ensure that the business runs smoothly and efficiently. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become an Operations Manager and can provide additional insights into data-driven operations management techniques.

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Program Manager

Program Managers plan, execute, and oversee projects and programs. They work with stakeholders to define goals, develop budgets, and manage resources. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Program Manager and can provide additional insights into data-driven program management techniques.

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Project Manager

Project Managers plan, execute, and oversee projects. They work with stakeholders to define goals, develop budgets, and manage resources. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Project Manager and can provide additional insights into data-driven project management techniques.

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Business Development Manager

Business Development Managers identify and develop new business opportunities for a company or organization. They work with customers and partners to build relationships and drive growth. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Business Development Manager and can provide additional insights into data-driven business development techniques.

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Sales Manager

Sales Managers lead and manage sales teams. They work with customers and prospects to identify and close deals. This course provides an introduction to the fundamentals of machine learning and hands-on experience in using BigQuery ML to create and train models. It can help you develop the skills needed to become a Sales Manager and can provide additional insights into data-driven sales management techniques.

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Reading list

We've selected 14 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 Applying Machine Learning to Your Data with GC - Français.

Hands-On Machine Learning with Scikit-Learn, Keras,...

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Practical guide to machine learning. It teaches you how to use popular machine learning libraries such as Scikit-Learn, Keras, and TensorFlow.

(English) Hands-On Machine Learning with Scikit-Learn, Keras,...