Through interactive, hands-on practice, our online or onsite instructor-led live Supervised Learning courses demonstrate how to effectively utilize supervised machine learning techniques. Participants learn to train models, generate predictions, and analyze data patterns with confidence.
These Supervised Learning programs are offered as either "online live training" or "onsite live training." Online live training (also referred to as "remote live training") is delivered via an interactive remote desktop. Alternatively, onsite live training can be conducted directly on customer premises in Durban or within NobleProg corporate training centers in Durban.
Supervised Learning is also commonly referred to as Supervised Machine Learning.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led live training in Durban (online or onsite) targets participants with varying levels of expertise who wish to utilise Google's AutoML platform to construct tailored chatbots for diverse applications.
By the conclusion of this training, participants will be able to:
Grasp 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 optimise chatbot performance over time.
This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level professionals seeking to apply AI-driven predictive maintenance techniques in semiconductor manufacturing to enhance production efficiency and reduce unexpected equipment failures.
Upon completion of this training, participants will be able to:
Deploy AI models to predict equipment failures in semiconductor manufacturing settings.
Analyse maintenance data to uncover patterns and trends that signal potential issues.
Integrate AI-driven predictive maintenance protocols into current manufacturing workflows.
Minimise downtime and maintenance costs through proactive equipment management.
This instructor-led, live training in Durban (online or onsite) is designed for beginner-level professionals who wish to grasp and apply AI technologies within the semiconductor manufacturing sector.
Upon completion of this training, participants will be able to:
Comprehend the fundamental principles of AI and their application in semiconductor manufacturing.
Pinpoint areas within semiconductor manufacturing where AI can be effectively deployed.
Leverage AI tools and methodologies to improve production efficiency and quality control.
Deploy basic AI models to optimize manufacturing processes.
This instructor-led live training in Durban (online or onsite) is aimed at intermediate-level data analysts who wish to learn how to use RapidMiner to estimate and project values and utilise 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 Durban (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.
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