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 training can be carried out locally on customer premises in Manila or in NobleProg corporate training centers in Manila.
NobleProg -- Your Local Training Provider
Joy Nostalg
ADB Avenue, Pasig, Philippines
Modern, conducive and equipped for our training courses
Manila Enterprise Makati
28th Floor, Tower 2, The Enterprise Centre, Manila, Philippines, 1226
Manila's Enterprise Makati Centre is at the heart of the business and finance district in one of the most popular commercial buildings in Makati City. This business centre overlooks the skyscrapers of Makati and from the board rooms there are stunning views of the historic Manila Bay. Described as 'The Business Building Designed for Building Business', it is in a neo-classical landmark twin tower building with magnificently designed facilities, a range of retail and leisure facilities and seven levels of underground parking accommodating 1,200 vehicles. Makati is the country's undisputed financial centre and commercial hub and is home to the headquarters of the 40 per cent of the top 1,000 multinational and local corporations. The city has the most developed telecommunications infrastructure in the country. Transport links are excellent and the Ninoy Aquino International Airport is just five kilometres away.
This instructor-led, live training in Manila (online or onsite) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized chatbots for various applications.
By the end of this training, participants will be able to:
Understand the fundamentals of chatbot development.
Navigate the Google Cloud Platform and access AutoML.
Prepare data for training chatbot models.
Train and evaluate custom chatbot models using AutoML.
Deploy and integrate chatbots into various platforms and channels.
Monitor and optimize chatbot performance over time.
This instructor-led, live training in Manila (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 Manila (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 Manila (online or onsite) is aimed at data scientists and data analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.
By the end of this training, participants will be able to:
Load datasets in DataRobot to analyze, assess, and quality check data.
Build and train models to identify important variables and meet prediction targets.
Interpret models to create valuable insights that are useful in making business decisions.
Monitor and manage models to maintain an optimized prediction performance.
This instructor-led, live training in Manila (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.
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