Launching into Machine Learning

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Launching into Machine Learning

Name: Launching into Machine Learning
Rating: 4.39 (1054 reviews)

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Machine Learning Pipeline

Machine Learning

Machine Learning Models

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17 Stunden Einsteiger universal_currency_alt 20 Guthabenpunkte

The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.

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Kursinformationen

Ziele

Describe how to improve data quality and perform exploratory data analysis
Build and train AutoML Models using Vertex AI and BigQuery ML
Optimize and evaluate models using loss functions and performance metrics
Create repeatable and scalable training, evaluation, and test datasets

Voraussetzungen

Familiarity with Python or other programming languages

Zielgruppe

• Aspiring machine learning data scientists and engineers • Machine learning scientists, data scientists, and data analysts • Data engineers

Verfügbare Sprachen

English, español (Latinoamérica), 日本語, français, 한국어, português (Brasil) und italiano

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Launching into Machine Learning

Launching into Machine Learning