AutoML 교육

AutoML 교육

대한민국에서 현지 강사가 진행하는 AutoML 교육 과정.

회원 평가

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★★★★★

AutoML서브 카테고리

AutoML코스 개요

코스 이름
Duration
Overview
코스 이름
Duration
Overview
14 시간
Overview
This instructor-led, live training in 대한민국 (online or onsite) is aimed at technical persons with a background in machine learning who wish to optimize the machine learning models used for detecting complex patterns in big data.

By the end of this training, participants will be able to:

- Install and evaluate various open source AutoML tools (H2O AutoML, auto-sklearn, TPOT, TensorFlow, PyTorch, Auto-Keras, TPOT, Auto-WEKA, etc.)
- Train high quality machine learning models.
- Efficiently solve different types of supervised machine learning problems.
- Write just the necessary code to initiate the automated machine learning process.
7 시간
Overview
This instructor-led, live training in 대한민국 (online or onsite) is aimed at data scientists, data analysts, and developers who wish to explore AutoML products and features to create and deploy custom ML training models with minimal effort.

By the end of this training, participants will be able to:

- Explore the AutoML product line to implement different services for various data types.
- Prepare and label datasets to create custom ML models.
- Train and manage models to produce accurate and fair machine learning models.
- Make predictions using trained models to meet business objectives and needs.
14 시간
Overview
This instructor-led, live training in 대한민국 (online or onsite) is aimed at data scientists as well as less technical persons who wish to use Auto-Keras to automate the process of selecting and optimizing a machine learning model.

By the end of this training, participants will be able to:

- Automate the process of training highly efficient machine learning models.
- Automatically search for the best parameters for deep learning models.
- Build highly accurate machine learning models.
- Use the power of machine learning to solve real-world business problems.
14 시간
Overview
This instructor-led, live training in 대한민국 (online or onsite) is aimed at machine learning practitioners who wish to use Auto-sklearn to automate the process of selecting and optimizing a machine learning model.

By the end of this training, participants will be able to:

- Automate the process of training highly efficient machine learning models.
- Build highly accurate machine learning models while bypassing the more tedious tasks of selecting, training and testing different models.
- Use the power of machine learning to solve real-world business problems.
14 시간
Overview
This instructor-led, live training in 대한민국 (online or onsite) is aimed at data scientists who wish to use H2O AutoML to automoate the process of building and selecting the best machine learning algorithm and parameters.

By the end of this training, participants will be able to:

- Automate the machine learning workflow.
- Automatically train and tune many machine learning models within a specified time range.
- Train stacked ensembles to arrive at highly predictive ensemble models.

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향후AutoML 코스

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