
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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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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AutoML Подкатегории
AutoML Содержание курса
This instructor-led, live training (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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about Auto-Keras, please visit: https://autokeras.com/
This instructor-led, live training (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.
- 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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
- To learn more about AutoML, please visit: https://www.automl.org/
This instructor-led, live training (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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use H2O AutoML to automate 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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.