Online or onsite, instructor-led live AutoML training courses demonstrate through interactive hands-on practice the fundamentals and advanced concepts of AutoML.
AutoML training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live AutoML trainings in Taipei can be carried out locally on customer premises or in NobleProg corporate training centers.
AThe Regus Aurora Business Centre is located in the heart of Neihu Science Park, a popular choice for high-tech companies to ...
AThe Regus Aurora Business Centre is located in the heart of Neihu Science Park, a popular choice for high-tech companies to set up their headquarters. Major corporates in this area are involved in telecommunications, IT, electronics manufacturing, media, retail and logistics. Companies include Honhai, Compal, AUO, BENQ,, FET, Advantech, MITAC, DELTA and D-Link. The area is well supported by a selection of restaurants, hotels, retail malls and banks. The centre has easy access to many means of public transportation including MRT, taxi and bus. Xihu station on the Neihu Line and the bus station are within a one minute walk from the centre. The central location and amenities make Regus Aurora Business Centre an excellent choice for international and domestic companies looking for flexible and fully equipped office space at a reasonable price.
Taipei- Concord
8/F, No.367, Fuxing N. Rd., Taipei, taiwan, 10543
The Taipei Concord business centre is located in the north of SongSan district, close to main roads Fuxing N Road, Minquan Ea...
The Taipei Concord business centre is located in the north of SongSan district, close to main roads Fuxing N Road, Minquan East Road and Minsheng East Road, serves as an important spot linking office buildings and financial organizations. Surrounded by Rongxing Garden, Sherwood Hotel, Taipei University and other landmarks, with many restaurants and shopping in the immediate vicinity. Taipei Concord Building business centre has a great location, with rapid access to all other Taipei districts by public transportation: MRT, taxi and bus. It is only 1 minute walk to Zhongshan Junior High School Station in MRT Neihu Line. There are also many bus stops nearby with direct and easy access to Neihu, Sanchung, Taoyuan and other places. It is also within 3 minutes of Songshan airport and 40 minutes to Taoyan International airport. The Taipei Concord Building centre offers a perfect solution for local and overseas companies who want to start or grow their businesses in Taipei, who are looking for flexible and fully-equipped offices with comprehensive services at a reasonable price.
Taipei Walsin Xinyi
11/F, 1 Songzhi Road, Taipei, taiwan, 11047
The office space in the Walsin Xinyi Building is in an A-grade development located at the heart of Xinyi CBD, a new business ...
The office space in the Walsin Xinyi Building is in an A-grade development located at the heart of Xinyi CBD, a new business district where an increasing number of multi-national corporations choose to locate their offices. The building is surrounded by many new hotels, restaurants and high-end shopping malls such as W Hotel, Le Meridian, Shinkong Mitsukoshi Department Store and Bellavita, a high-end shopping mall. Walsin Xinyi Building provides a balance of location and building quality, with a good multi-national tenant mix. Citibank and Mitsui Japanese Restaurant are two of the many tenants of the building. The office space at Walsin Xinyi Building is only a 5-minute walk to Taipei 101 and a 2-minute walk to the Taipei City Hall subway (MRT) station.
This instructor-led, live training in Taipei (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.
This instructor-led, live training in Taipei (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.
This instructor-led, live training in Taipei (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.
This instructor-led, live training in Taipei (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.
This instructor-led, live training in Taipei (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.
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