Dozentengeführte AutoML Präsenzschulungen in Deutschland.
Erfahrungsberichte
Es war sehr interaktiv und entspannter und informeller als erwartet. Wir haben in der Zeit viele Themen behandelt und der Trainer war immer offen dafür, im Detail oder allgemeiner über die Themen und ihre Zusammenhänge zu sprechen. Ich denke, das Training hat mir die Werkzeuge gegeben, um weiter zu lernen, im Gegensatz zu einer einmaligen Sitzung, in der das Lernen nach dem Abschluss aufhört, was angesichts des Umfangs und der Komplexität des Themas sehr wichtig ist.
Jonathan Blease
Kurs: Artificial Neural Networks, Machine Learning, Deep Thinking
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Der Trainer war so sachkundig und schloss Bereiche ein, an denen ich interessiert war.
Mohamed Salama
Kurs: Data Mining & Machine Learning with R
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Der Trainer erklärte sehr leicht schwierige und fortgeschrittene Themen.
Leszek K
Kurs: Artificial Intelligence Overview
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Alle mögen es
蒙 李
Kurs: Machine Learning Fundamentals with Python
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Kommunikation mit Dozenten
文欣 张
Kurs: Artificial Neural Networks, Machine Learning, Deep Thinking
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Gefällt mir
lisa xie
Kurs: Artificial Neural Networks, Machine Learning, Deep Thinking
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Es werden viele Methoden mit vorbereiteten Skripten gezeigt - sehr gut vorbereitete Materialien und ein einfaches Zurückverfolgen
Kamila Begej - GE Medical Systems Polska Sp. Zoo
Kurs: Machine Learning – Data science
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Ich mag, dass das Training sich auf Beispiele und Codierung konzentrierte. Ich dachte, dass es unmöglich ist, so viel Inhalt in drei Trainingstage zu packen, aber ich habe mich geirrt. Das Training umfasste viele Themen und alles wurde sehr detailliert durchgeführt (insbesondere das Einstellen der Modellparameter - ich hatte nicht damit gerechnet, dass es eine Zeit dafür geben wird, und ich war sehr überrascht).
Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo
Kurs: Machine Learning – Data science
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Abwechslungstheorie / -praxis wirksam!
CIRAD
Kurs: Introduction au Machine Learning avec MATLAB
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Fortschreitende Präsentation und Anwendung von Methoden
Aurélien Briffaz - CIRAD
Kurs: Introduction au Machine Learning avec MATLAB
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Verfügbarkeit und Anpassungsfähigkeit, Antworten auf Fragen
Jean-Michel MEOT - CIRAD
Kurs: Introduction au Machine Learning avec MATLAB
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Besprochene Themen, durchgeführte Übungen (Beispiele), Trainingsatmosphäre, Kontakt mit dem Trainer, Standort.
Wojskowe Zakłady Uzbrojenia S.A. w Grudziądzu
Kurs: Octave nie tylko dla programistów
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Mir gefällt, dass es mehr um das How-to der verschiedenen Methoden der Textzusammenfassung geht
Kurs: Text Summarization with Python
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Der Trainer war ein Fachmann auf dem Fachgebiet und verwandte Theorie mit ausgezeichneter Anwendung
Fahad Malalla - Tatweer Petroleum
Kurs: Applied AI from Scratch in Python
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Anpassung an unsere Bedürfnisse
Sumitomo Mitsui Finance and Leasing Company, Limited
Kurs: Kubeflow
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Praxis
INTELLIGENT HIVES SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Kurs: Machine Learning – Data science
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und die Art und Weise, wie die
NetWorkS! Sp. z o.o.
Kurs: AI Awareness for Telecom
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Übungen
Orange Szkolenia sp. z o.o.
Kurs: Fundamentals of Artificial Intelligence and Machine Learning
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Kompetenz und Verhalten.
Orange Szkolenia sp. z o.o.
Kurs: Fundamentals of Artificial Intelligence and Machine Learning
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Themen, freundliche Haltung des Moderators
Fujitsu Technology Solutions Sp. z o.o.
Kurs: Artificial Intelligence Overview
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Mir gefällt, dass es mehr um das How-to der verschiedenen Methoden der Textzusammenfassung geht
Kurs: Text Summarization with Python
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AutoML Unterkategorien
AutoML Kurspläne
Name des Kurses
Dauer
Überblick
Name des Kurses
Dauer
Überblick
14 Stunden
Überblick
This instructor-led, live training in Deutschland (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 Stunden
Überblick
This instructor-led, live training in Deutschland (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 Stunden
Überblick
This instructor-led, live training in Deutschland (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 Stunden
Überblick
This instructor-led, live training in Deutschland (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 Stunden
Überblick
This instructor-led, live training in Deutschland (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.
Zukünftige AutoML Kurse
07-09-2021 09:30
7 hours
08-09-2021 09:30
14 hours
09-09-2021 09:30
14 hours
20-09-2021 09:30
14 hours
28-09-2021 09:30
14 hours
AutoML Schulung, AutoML boot camp, AutoML Abendkurse, AutoML Wochenendkurse, AutoML Kurs, AutoML Training, AutoML Seminar, AutoML Seminare, AutoML Privatkurs, AutoML Coaching, AutoML Lehrer
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