Online or onsite, instructor-led live Supervised Learning training courses demonstrate through interactive hands-on practice how to use supervised machine learning techniques to train models, make predictions, and analyze data patterns effectively.
Supervised Learning 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 Supervised Learning training can be carried out locally on customer premises in Kelowna or in NobleProg corporate training centers in Kelowna.
Supervised Learning is also known as Supervised Machine Learning.
NobleProg -- Your Local Training Provider
Kelowna - Landmark
1631 Dickson Avenue, Kelowna, Canada
Described as Kelowna’s most prestigious business location, Landmark compromises of six office towers in a campus-style complex. Take advantage of close proximity to Highway 97 with on-site parking and local bus routes within a three-minute walk.
Spark creativity during the workday, with floor to ceiling windows looking out over the city below. When you need a break, take a stroll to Parkinson’s Recreation Centre, or entertain visitors at the many restaurants and bars nearby.
Kelowna - The Innovation Centre
460 Doyle Ave, Kelowna, Canada
Inspiring, dynamic and inviting, The Innovation Center is your new working home. Welcome to a different kind of working in Kelowna. The Innovation Center is the city’s first foray into flexible workspace, and makes creating an inspiring environment the priority. Based inside the one-of-a-kind Okanagan Centre for Innovation, this dynamic office environment offers more than just four walls and a desk. Instead, professionals and entrepreneurs will find a choice of spaces, from impressive meeting rooms to collaborative desks and laptop charge points. This highly convenient and incredibly well equipped modern working hub is sure to become your new go-to place for productivity. Located in Kelowna’s vibrant downtown area, it’s near popular local eateries such as nearby Blenz Coffee and Dawett Fine Indian Cuisine.
Whether you’re using the site’s super-fast Wi-Fi connection or getting that extra bit of help from the friendly administrative support staff, Innovation Centre pushes you to achieve more in business. The building itself is a partnership between the local government and a group of technology executives who joined forces to accelerate the tech industry in in Kelowna. They’ve created an incredible location, which is immediately connected to the wider area via a pair of convenient bus stops. What’s more, its central position places it next to some of the city’s most enticing venues, such as Kelowna Yacht Club, the tranquil Kasugai Gardens and Stuart Park. Alternatively, those in need of a bit of inspiration shouldn’t miss the Okanagan Military Museum and Okanagan Regional Library - Kelowna Branch – ideal places to top up your creativity.
This instructor-led, live training in Kelowna (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 Kelowna (online or onsite) is aimed at intermediate-level professionals who wish to apply AI-driven predictive maintenance techniques in semiconductor manufacturing to enhance production efficiency and reduce unexpected equipment failures.
By the end of this training, participants will be able to:
Implement AI models for predicting equipment failures in semiconductor manufacturing.
Analyze maintenance data to identify patterns and trends indicative of potential issues.
Integrate AI-driven predictive maintenance into existing manufacturing workflows.
Reduce downtime and maintenance costs through proactive equipment management.
This instructor-led, live training in Kelowna (online or onsite) is aimed at beginner-level professionals who wish to understand and apply AI technologies within the semiconductor manufacturing industry.
By the end of this training, participants will be able to:
Understand the basic principles of AI and how they apply to semiconductor manufacturing.
Identify areas within semiconductor manufacturing where AI can be effectively implemented.
Utilize AI tools and techniques to enhance production efficiency and quality control.
Implement basic AI models to optimize manufacturing processes.
This instructor-led, live training in Kelowna (online or onsite) is aimed at intermediate-level data analysts who wish to learn how to use RapidMiner to estimate and project values and utilize analytical tools for time series forecasting.
By the end of this training, participants will be able to:
Learn to apply the CRISP-DM methodology, select appropriate machine learning algorithms, and enhance model construction and performance.
Use RapidMiner to estimate and project values, and utilize analytical tools for time series forecasting.
This instructor-led, live training in Kelowna (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 Kelowna (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 Kelowna (online or onsite) provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.
By the end of this training, participants will be able to:
Apply core statistical methods to pattern recognition.
Use key models like neural networks and kernel methods for data analysis.
Implement advanced techniques for complex problem-solving.
Improve prediction accuracy by combining different models.
This instructor-led, live training in Kelowna (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 Kelowna (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 (online or onsite) is aimed at developers who wish to use Google’s ML Kit to build machine learning models that are optimized for processing on mobile devices.
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing machine learning features for mobile apps.
Integrate new machine learning technologies into Android and iOS apps using the ML Kit APIs.
Enhance and optimize existing apps using the ML Kit SDK for on-device processing and deployment.
Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not.
Format of the Course
This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.
RapidMiner is an open source data science software platform for rapid application prototyping and development. It includes an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics.
In this instructor-led, live training, participants will learn how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment.
By the end of this training, participants will be able to:
Install and configure RapidMiner
Prepare and visualize data with RapidMiner
Validate machine learning models
Mashup data and create predictive models
Operationalize predictive analytics within a business process
Troubleshoot and optimize RapidMiner
Audience
Data scientists
Engineers
Developers
Format of the Course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
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