Местные курсы AutoML под руководством местных инструкторов в Russia.
Отзывы
Тренер очень легко объяснил сложные и продвинутые темы.
Leszek K
Курсы: Artificial Intelligence Overview
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Все как это 李 蒙 -
蒙 李
Курсы: Machine Learning Fundamentals with Python
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Общение с преподавателями 张 文欣 - Accenture
文欣 张
Курсы: Artificial Neural Networks, Machine Learning, Deep Thinking
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Нравится
lisa xie
Курсы: Artificial Neural Networks, Machine Learning, Deep Thinking
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Мне искренне нравились упражнения
L M ERICSSON LIMITED
Курсы: Machine Learning
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Тренер был профессионалом в предметной области и смежной теории с превосходным применением
Fahad Malalla - Tatweer Petroleum
Курсы: Applied AI from Scratch in Python
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Регулировка наших потребностей
Sumitomo Mitsui Finance and Leasing Company, Limited
Курсы: Kubeflow
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Практике
INTELLIGENT HIVES SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Курсы: Machine Learning – Data science
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и то, как
NetWorkS! Sp. z o.o.
Курсы: AI Awareness for Telecom
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Упражнения
Orange Szkolenia sp. z o.o.
Курсы: Fundamentals of Artificial Intelligence and Machine Learning
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Компетентность и поведение.
Orange Szkolenia sp. z o.o.
Курсы: Fundamentals of Artificial Intelligence and Machine Learning
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темы, дружелюбное отношение ведущего
Fujitsu Technology Solutions Sp. z o.o.
Курсы: Artificial Intelligence Overview
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AutoML Подкатегории
AutoML Содержание курса
Название курса
Продолжительность
Обзор
Название курса
Продолжительность
Обзор
14 часов
This instructor-led, live training in Russia (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.
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 часов
This instructor-led, live training in Russia (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.
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 часов
This instructor-led, live training in Russia (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.
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 часов
This instructor-led, live training in Russia (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.
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 часов
This instructor-led, live training in Russia (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.
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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