Local instructor-led live AutoML training courses in Moldova.
Mărturii
A fost foarte interactiv și mai relaxat și mai informal decât se aștepta. Am abordat o mulțime de subiecte în timp și antrenorul a fost întotdeauna receptiv să vorbească în detaliu sau mai general despre subiectele și despre modul în care erau legate. Mă simt că instruirea mi-a dat instrumentele necesare pentru a continua învățarea, spre deosebire de o sesiune în care învățarea se oprește odată ce ați terminat ceea ce este foarte important având în vedere amploarea și complexitatea subiectului.
Jonathan Blease
Curs: Artificial Neural Networks, Machine Learning, Deep Thinking
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Formatorul a fost atât de informat și a inclus zonele în care mă interesează.
Mohamed Salama
Curs: Data Mining & Machine Learning with R
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Formatorul a explicat foarte ușor subiecte dificile și avansate.
Leszek K
Curs: Artificial Intelligence Overview
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Toți îi plac
蒙 李
Curs: Machine Learning Fundamentals with Python
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Comunicarea cu lectori
文欣 张
Curs: Artificial Neural Networks, Machine Learning, Deep Thinking
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Îmi place
lisa xie
Curs: Artificial Neural Networks, Machine Learning, Deep Thinking
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Mi-au plăcut cu adevărat exercițiile
L M ERICSSON LIMITED
Curs: Machine Learning
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exercițiile de laborator
Marcell Lorant - L M ERICSSON LIMITED
Curs: Machine Learning
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Forma notebook-ului Jupyter, în care sunt disponibile materialele de instruire
L M ERICSSON LIMITED
Curs: Machine Learning
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Au fost multe exerciții și subiecte interesante.
L M ERICSSON LIMITED
Curs: Machine Learning
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unele exerciții mari de laborator analizate și explicate de către antrenor în profunzime (de exemplu, covariante în regresie liniară, care se potrivesc cu funcția reală)
L M ERICSSON LIMITED
Curs: Machine Learning
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Este minunat ca tot materialul, inclusiv exercitiile, sa fie pe aceeasi pagina si apoi sa fie actualizat in zbor. Soluția este dezvăluită la sfârșit. Misto! De asemenea, apreciez faptul că Krzysztof a depus eforturi suplimentare pentru a înțelege problemele noastre și ne-a sugerat posibile tehnici.
Attila Nagy - L M ERICSSON LIMITED
Curs: Machine Learning
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Acesta prezintă multe metode cu scripturi pre pregătite - materiale foarte pregătite și ușor de urmărit
Kamila Begej - GE Medical Systems Polska Sp. Zoo
Curs: Machine Learning – Data science
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Îmi place că antrenamentul a fost axat pe exemple și codificare. Am crezut că este imposibil să împachetezi atât de mult conținut în trei zile de antrenament, dar m-am înșelat. Formarea a acoperit numeroase subiecte și totul a fost realizat într-o manieră foarte detaliată (în special tuningul parametrilor modelului - nu m-am așteptat ca va fi un timp pentru asta și am fost surprins).
Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo
Curs: Machine Learning – Data science
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Teoria alternării / practica eficiente!
CIRAD
Curs: Introduction au Machine Learning avec MATLAB
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Prezentarea progresivă și aplicarea metodelor
Aurélien Briffaz - CIRAD
Curs: Introduction au Machine Learning avec MATLAB
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Disponibilitate și adaptabilitate, răspunsuri la întrebări
Jean-Michel MEOT - CIRAD
Curs: Introduction au Machine Learning avec MATLAB
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Probleme discutate, exerciții (exemple), atmosferă de formare, contact cu formatorul, locație.
Wojskowe Zakłady Uzbrojenia S.A. w Grudziądzu
Curs: Octave nie tylko dla programistów
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Îmi place că se concentrează mai mult asupra modalității de abordare a diferitelor metode de rezumare a textului
Curs: Text Summarization with Python
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Instructorul a fost un profesionist în domeniul subiectului și teorie înrudită cu aplicație excelent
Fahad Malalla - Tatweer Petroleum
Curs: Applied AI from Scratch in Python
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Practică
INTELLIGENT HIVES SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Curs: Machine Learning – Data science
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și modul în care
NetWorkS! Sp. z o.o.
Curs: AI Awareness for Telecom
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Exerciţii
Orange Szkolenia sp. z o.o.
Curs: Fundamentals of Artificial Intelligence and Machine Learning
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Competență și conduită.
Orange Szkolenia sp. z o.o.
Curs: Fundamentals of Artificial Intelligence and Machine Learning
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teme, atitudinea prietenoasă a prezentatorului
Fujitsu Technology Solutions Sp. z o.o.
Curs: Artificial Intelligence Overview
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Îmi place că se concentrează mai mult asupra modalității de abordare a diferitelor metode de rezumare a textului
Curs: Text Summarization with Python
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AutoML Subcategories
AutoML Course Outlines
Numele cursului
Durata
Sinoptic
Numele cursului
Durata
Sinoptic
14 hours
Sinoptic
This instructor-led, live training in Moldova (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 hours
Sinoptic
This instructor-led, live training in Moldova (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 hours
Sinoptic
This instructor-led, live training in Moldova (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 hours
Sinoptic
This instructor-led, live training in Moldova (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 hours
Sinoptic
This instructor-led, live training in Moldova (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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