
Local instructor-led live AutoML training courses in България.
Oтзиви от потребители
Регулиране на нашите нужди
Sumitomo Mitsui Finance and Leasing Company, Limited
Course: Kubeflow
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Практика
INTELLIGENT HIVES SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Course: Machine Learning – Data science
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и начина, по който
NetWorkS! Sp. z o.o.
Course: AI Awareness for Telecom
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Упражнения
Orange Szkolenia sp. z o.o.
Course: Fundamentals of Artificial Intelligence and Machine Learning
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Компетентност и поведение.
Orange Szkolenia sp. z o.o.
Course: Fundamentals of Artificial Intelligence and Machine Learning
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теми, приятелско отношение на презентатора
Fujitsu Technology Solutions Sp. z o.o.
Course: Artificial Intelligence Overview
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AutoML Subcategories
AutoML Course Outlines
- 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.
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Разгледайте линията на продуктите AutoML, за да изпълните различни услуги за различни видове данни.
Подгответе и етикетирайте набор от данни, за да създадете персонализирани ML модели.
Обучение и управление на модели, за да се произвеждат точни и справедливи модели за машинно обучение.
Направете прогнози с помощта на обучени модели, за да отговарят на бизнес целите и нуждите.
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Интерактивна лекция и дискусия.
Много упражнения и упражнения.
Изпълнение на ръката в живо лабораторна среда.
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За да поискате персонализирано обучение за този курс, моля, свържете се с нас, за да организирате.
- 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.
- 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.
- 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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