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#Hyperopt

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The Machine Learning Engineer

MLOps MLFlow: Databricks y MLFlow Hyper-Parameter Tuning en Español

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Optimiza modelos de machine learning con Databricks y MLflow, utilizando Hyperopt y XGBoost para ajuste de hiperparámetros.
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1 Lesons
26 minutes
On-Demand
Free-Video
Open Data Science

Auto-Train a Time-Series Forecast Model with AML & ADB

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Learn to auto-train time-series forecast models using Azure Machine Learning and Azure Databricks for large-scale enterprise solutions in supply chain, healthcare, insurance, and finance.
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29 Lesons
54 minutes
On-Demand
Free-Video
Databricks

Auto-Train a Time-Series Forecast Model with Azure Machine Learning and Azure Databricks

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Discover how to efficiently build accurate forecasting models at scale using Azure Machine Learning and Azure Databricks, enhancing enterprise AI/ML capabilities for various industries.
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6 Lesons
27 minutes
On-Demand
Free-Video
Abhishek Thakur

Hyperparameter Optimization - This Tutorial Is All You Need

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Explore various hyperparameter optimization techniques including Grid Search, Random Search, Bayesian Optimization, Hyperopt, and Optuna to fine-tune models and optimize functions effectively.
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7 Lesons
1 hour
On-Demand
Free-Video
Databricks

Introducing MLflow for End-to-End Machine Learning on Databricks

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Learn to predict life expectancy using health data with MLflow. Covers data engineering, exploration, model tuning, and deployment on Databricks' unified analytics platform powered by Apache Spark.
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15 Lesons
25 minutes
On-Demand
Free-Video
Databricks

Introducing MLflow for End-to-End Machine Learning on Databricks

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Explore end-to-end machine learning with MLflow on Databricks: from data engineering to model deployment, using health data to predict life expectancy through Spark, hyperopt, and interactive dashboards.
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11 Lesons
40 minutes
On-Demand
Free-Video
Databricks

Tuning Machine Learning Models - Scaling, Workflows, and Architecture

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Automating and scaling ML model tuning using Hyperopt and Apache Spark. Best practices for workflows, architecture, and optimization in hyperparameter tuning for improved performance and accuracy.
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10 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Databricks and MLFlow Hyper-parameter Tuning for XGBoost Models

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Optimize machine learning models using Databricks and MLflow for hyperparameter tuning with XGBoost and HyperOpt.
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1 Lesons
56 minutes
On-Demand
Free-Video