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Utiliser BigQuery Machine Learning pour l'inférence

Google Cloud Training

Google Cloud Training

Découvrez BigQuery ML pour l'inférence, pourquoi les analystes de données devraient s'en servir, ses cas d'utilisation et les modèles de ML compatibles. Apprenez également à créer des modèles de ML et à les gérer dans BigQuery.

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Utiliser BigQuery Machine Learning pour l'inférence

Découvrez BigQuery ML pour l'inférence, pourquoi les analystes de données devraient s'en servir, ses cas d'utilisation et les modèles de ML compatibles. Apprenez également à créer des modèles de ML et à les gérer dans BigQuery.

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Machine learning avec Scikit-Learn

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Practical guide to BigQuery ML. It shows you how to use BigQuery ML to build and deploy machine learning models on real-world data.

Machine learning avec Scikit-Learn

Machine learning avec Scikit-Learn

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Business Data Science: Combining Machine Learning...

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Shows you how to use R to access and analyze data in BigQuery. It also covers how to use BigQuery ML to build and deploy machine learning models.

(English) Business Data Science: Combining Machine Learning...

(English) Business Data Science: Combining Machine Learning...

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Grokking Deep Reinforcement Learning

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Provides a comprehensive overview of BigQuery ML, covering everything from basic concepts to advanced topics. It is written by a Google engineer who has worked on BigQuery ML, so you can be sure that the information is accurate and up-to-date.

Grokking Deep Reinforcement Learning

Grokking Deep Reinforcement Learning

Machine Learning

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Gentle introduction to BigQuery ML. It covers the basics of machine learning and how to use BigQuery ML to build and deploy simple models.

(English) Saintyly Path Discernment From The Medical...

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Machine Learning Design Patterns

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Provides a comprehensive overview of machine learning with big data. It covers a wide range of topics, from data preparation to model deployment. While it does not specifically focus on BigQuery ML, it provides a strong foundation for understanding the concepts and techniques used in BigQuery ML.

Machine Learning Design Patterns

Machine Learning Design Patterns

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Google BigQuery: the Definitive Guide

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Deep dive into BigQuery ML. It covers advanced topics such as model tuning, hyperparameter optimization, and ensemble learning.

(English) Google BigQuery: The Definitive Guide: Data...

(English) Google BigQuery: The Definitive Guide: Data...

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Python Data Science Handbook

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Is written for data scientists who want to use BigQuery ML to build and deploy machine learning models. It covers a wide range of topics, from data preparation to model evaluation.

(English) Python Data Science Handbook: Essential Tools for...

(English) Python Data Science Handbook: Essential Tools for...

(English) Python pour la Data Science - Les meilleures outils...

(English) Python Data Science Handbook

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Machine Learning

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Provides a comprehensive treatment of machine learning from a probabilistic perspective, covering a wide range of topics from Bayesian inference to deep learning.

Machine Learning

Machine Learning

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Machine Learning for Absolute Beginners

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Gentle introduction to machine learning, suitable for those with no prior knowledge of the field, with a focus on understanding the concepts rather than the math.

(English) Machine Learning for Absolute Beginners: A Plain...

(English) Data Analytics for Absolute Beginners: A...

(English) Machine Learning For Absolute Beginners: A Plain...

(English) Machine Learning for Absolute Beginners: A Plain...

(English) Machine Learning for Absolute Beginners: A Plain...

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

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Practical guide to machine learning with Python, covering a wide range of topics from data preprocessing to model evaluation.

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

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

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

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An Introduction to Statistical Learning

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Provides a balanced treatment of both statistical and machine learning methods, making it accessible to a wide audience.

An Introduction to Statistical Learning

An Introduction to Statistical Learning

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Pattern Recognition and Machine Learning

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Classic text on machine learning and statistical pattern recognition, with a focus on Bayesian approaches. The author has won the prestigious Turing Award.

(English) Pattern Recognition and Machine Learning...

(English) Pattern Recognition and Machine Learning...

(English) Pattern Recognition and Machine Learning (text...

Unknown Binding

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Dive into Deep Learning

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Provides a comprehensive and practical guide to deep learning, including hands-on exercises and real-world examples.

(English) Dive into Deep Learning

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Machine Learning for Hackers

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Practical guide to machine learning for programmers, with a focus on using Python to build and deploy machine learning models.

(English) Machine Learning for Hackers: Case Studies and...

(English) Machine Learning for Hackers: Case Studies and...

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Machine Learning in Action

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Practical guide to machine learning for those with no prior experience, covering a wide range of topics from data preprocessing to model evaluation. It great hands-on tutorial to pick up skills in machine learning.

(English) Machine Learning in Action

(中文) 机器学习实战 (图灵程序设计丛书 72) (Chinese Edition)

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Comprehensive and authoritative reference on deep learning, covering a wide range of topics from neural networks to reinforcement learning.

(English) Deep Learning (Adaptive Computation and Machine...

(English) Deep Learning (Adaptive Computation and Machine...

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Machine Learning

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Practical guide to machine learning for those with no prior experience, covering a wide range of topics from data preprocessing to model evaluation.

(English) Machine Learning: The Art and Science of Algorithms...

(English) Machine Learning: ECML 2001: 12th European...

(English) Machine Learning: The Art and Science of Algorithms...

(English) Machine Learning and Knowledge Discovery in...

(English) Machine Learning and Knowledge Discovery in...

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Artificial Intelligence

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While not focused specifically on Machine learning, this book covers a broad range of topics in Artificial Intelligence including machine learning, and good companion to delve deeper into the theoretical and technical aspects of the field.

(English) Artificial Intelligence: A Modern Approach

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Python Machine Learning

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This book, written by the Stanford University professor and former Chief Scientist at Baidu, provides a clear overview of machine learning with lots of diagrams and hands-on practice.

(English) Python Machine Learning: The Ultimate Guide for...

(English) Machine Learning: The Most Complete Guide for...

(English) Data Science and Big Data Analytics: A Step by Step...

(English) Python Programming: Learn Python with the Most...

(English) Machine Learning: The Ultimate Guide for Beginners...

(English) Python Data Science: An Essential Guide for...

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Probability and Statistical Inference

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This introductory textbook provides a clear and concise overview of statistical inference, with a focus on applications in the social sciences. It is appropriate for undergraduate students with a basic understanding of statistics.

Probability and Statistical Inference

Probability and Statistical Inference

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Level

Introductory

Via

Coursera

Institution

Google Cloud

Instructor

Google Cloud Training

Session

March 17, 2025 - March 31, 2025

Language

Français

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