Lokal instruktørledet live AutoML kurs i Norge.
Testimonials
Det var veldig interaktivt og mer avslappet og uformelt enn forventet. Vi dekket mange temaer i tiden, og treneren var alltid mottakelig for å snakke mer detaljert eller mer generelt om emnene og hvordan de var i slekt. Jeg føler at opplæringen har gitt meg verktøyene til å fortsette læringen i motsetning til at det er en engangsøkt der læringen stopper når du er ferdig, noe som er veldig viktig med tanke på omfanget og kompleksiteten i emnet.
Jonathan Blease
Kurs: Artificial Neural Networks, Machine Learning, Deep Thinking
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Treneren var så kunnskapsrik og inkluderte områder jeg var interessert i
Mohamed Salama
Kurs: Data Mining & Machine Learning with R
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Treneren forklarte veldig enkelt vanskelige og avanserte emner.
Leszek K
Kurs: Artificial Intelligence Overview
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Jeg liker det veldig godt.
蒙 李
Kurs: Machine Learning Fundamentals with Python
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Kommunikasjon med foreleseren
文欣 张
Kurs: Artificial Neural Networks, Machine Learning, Deep Thinking
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Liker det
lisa xie
Kurs: Artificial Neural Networks, Machine Learning, Deep Thinking
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Jeg likte virkelig øvelser
L M ERICSSON LIMITED
Kurs: Machine Learning
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Jeg likte laboratorieøvelsene.
Marcell Lorant - L M ERICSSON LIMITED
Kurs: Machine Learning
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Jupyter notisbokskjema, hvor treningsmateriellet er tilgjengelig
L M ERICSSON LIMITED
Kurs: Machine Learning
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Det var mange øvelser og interessante emner.
L M ERICSSON LIMITED
Kurs: Machine Learning
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Noen gode laboratorieøvelser analysert og forklart av treneren i dybden (f.eks. Kovarianter i lineær regresjon, samsvarende med den virkelige funksjonen)
L M ERICSSON LIMITED
Kurs: Machine Learning
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Det er bare flott at alt materiale inkludert øvelsene er på samme side og så blir det oppdatert på farten. Løsningen blir avslørt på slutten. Kul! Jeg setter også pris på at Krzysztof tok ekstra krefter for å forstå problemene våre og foreslo oss mulige teknikker.
Attila Nagy - L M ERICSSON LIMITED
Kurs: Machine Learning
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Den viser mange metoder med forhåndsforberedte manus - veldig pent forberedte materialer og enkle å spore tilbake
Kamila Begej - GE Medical Systems Polska Sp. Zoo
Kurs: Machine Learning – Data science
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Jeg liker at trening var fokusert på eksempler og koding. Jeg tenkte at det er umulig å pakke så mye innhold på tre dager med trening, men jeg tok feil. Trening dekket mange emner, og alt ble gjort på en veldig detaljert måte (spesielt innstilling av modellens parametere - jeg forventet ikke at det skulle være tid for dette, og jeg ble overrasket over).
Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo
Kurs: Machine Learning – Data science
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Vekslingsteori / praksis effektiv!
CIRAD
Kurs: Introduction au Machine Learning avec MATLAB
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Progressiv presentasjon og anvendelse av metoder
Aurélien Briffaz - CIRAD
Kurs: Introduction au Machine Learning avec MATLAB
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Tilgjengelighet og tilpasningsevne, svar på spørsmål
Jean-Michel MEOT - CIRAD
Kurs: Introduction au Machine Learning avec MATLAB
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Problemer diskutert, utførte øvelser (eksempler), atmosfære av trening, kontakt med trener, beliggenhet.
Wojskowe Zakłady Uzbrojenia S.A. w Grudziądzu
Kurs: Octave nie tylko dla programistów
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Jeg liker at det fokuserer mer på hvordan de forskjellige tekstoppsummeringsmetodene gjøres
Kurs: Text Summarization with Python
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Treneren var en profesjonell innen fagfeltet og relatert teori med anvendelse utmerket
Fahad Malalla - Tatweer Petroleum
Kurs: Applied AI from Scratch in Python
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Justere til våre behov
Sumitomo Mitsui Finance and Leasing Company, Limited
Kurs: Kubeflow
Machine Translated
Jeg liker at det fokuserer mer på hvordan de forskjellige tekstoppsummeringsmetodene gjøres
Kurs: Text Summarization with Python
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AutoML Underkategorier
AutoML Kursplaner
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14 timer
This instructor-led, live training in Norge (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 timer
This instructor-led, live training in Norge (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 timer
This instructor-led, live training in Norge (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 timer
This instructor-led, live training in Norge (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 timer
This instructor-led, live training in Norge (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.
Last Updated:
Kommende AutoML Kurs
AutoML with Auto-Keras
23-02-2022 09:30
14 timer
AutoML with Auto-sklearn
23-02-2022 09:30
14 timer
AutoML
24-02-2022 09:30
14 timer
Google Cloud AutoML
25-02-2022 09:30
7 timer
H2O AutoML
21-03-2022 09:30
14 timer
Rådgivning
Helg AutoML kurs, kveld AutoML trening, AutoML boot camp, AutoML instruktørledet, Helg AutoML trening, Kveld AutoML kurs, AutoML coaching, AutoML instruktør, AutoML trener, AutoML kurs, AutoML klasser, AutoML on-site, AutoML private kurs, AutoML tomannshånd trening
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