Supervised Learning training courses, delivered either online or onsite with an instructor, show 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 (also known as 'remote live training') is conducted using an interactive, remote desktop. Onsite live training can be held locally at the customer's premises in Plovdiv or at NobleProg corporate training centers in Plovdiv.
Supervised Learning is also referred to as Supervised Machine Learning.
NobleProg -- Your Local Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
This instructor-led, live training in Plovdiv (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 Plovdiv (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 Plovdiv (online or onsite) is designed for professional beginners who want to comprehend and apply AI technologies within the semiconductor manufacturing industry.
Upon completing this training, participants will be capable of:
Grasping the fundamental principles of AI and their application in semiconductor manufacturing.
Pinpointing specific areas in semiconductor manufacturing where AI can be effectively utilized.
Employing AI tools and techniques to improve production efficiency and quality assurance.
Deploying basic AI models to streamline manufacturing operations.
This instructor-led, live training session (available online or on-site) is designed for technical professionals with a background in machine learning who seek to optimize models for detecting complex patterns in big data utilizing AutoML frameworks.
This instructor-led, live training in Plovdiv (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 Plovdiv (online or onsite) is designed for data scientists as well as less technical participants 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 Plovdiv (online or onsite) offers an introduction to the fields of pattern recognition and machine learning. It covers practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.
Upon completion of this training, participants will be able to:
Apply fundamental statistical methods to pattern recognition.
Utilize essential models such as neural networks and kernel methods for data analysis.
Implement advanced techniques to solve complex problems.
Enhance prediction accuracy by integrating various models.
This instructor-led live training in Plovdiv (online or onsite) is designed for data scientists and analysts seeking to automate, evaluate, and manage predictive models leveraging DataRobot's machine learning capabilities.
By the end of this training, participants will be able to:
Import datasets into DataRobot to analyze, assess, and perform quality checks on data.
Develop and train models to pinpoint critical variables and achieve prediction goals.
Interpret model outputs to generate actionable insights that support business decision-making.
Monitor and oversee models to ensure optimal prediction performance is maintained.
This instructor-led, live training in Plovdiv (online or on-site) targets 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 live, instructor-led training (available online or on-site) targets developers who aim to utilize Google’s ML Kit to construct machine learning models optimized for mobile device processing.
By the end of this training, participants will be able to:
Set up the necessary development environment to start creating 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 applications using the ML Kit SDK for on-device processing and deployment.
Pattern matching is a technique employed to identify specific patterns within an image. It allows for the determination of whether certain defined characteristics exist in a captured image, such as verifying the presence of the correct label on a faulty product on a factory assembly line or checking if a component meets specified dimensions. This process differs from "Pattern Recognition," which identifies general patterns by analyzing larger collections of related samples. In pattern matching, the goal is to define exactly what is being sought and then confirm whether that specific expected pattern is present.
Course Format
This course provides an introduction to the approaches, technologies, and algorithms used in pattern matching as applied to Machine Vision.
RapidMiner is an open-source data science software platform designed for rapid application prototyping and development. It offers an integrated environment covering data preparation, machine learning, deep learning, text mining, and predictive analytics.
During this instructor-led live training, participants will learn how to utilize RapidMiner Studio for data preparation, machine learning, and the deployment of predictive models.
By the conclusion of this training, participants will be able to:
Install and configure RapidMiner
Prepare and visualize data using RapidMiner
Validate machine learning models
Combine data and build predictive models
Implement predictive analytics within a business process
Troubleshoot and optimize RapidMiner
Audience
Data scientists
Engineers
Developers
Course Format
Combination of lectures, discussions, exercises, and extensive hands-on practice
Note
To request customized training for this course, please contact us to make arrangements.
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