Continuous Model Training with Evolving Data Streams from Pluralsight

Are you facing the challenge of ever-changing data when it comes to machine learning? This course will teach you how to continuously train and adapt your models, ensuring long-term effectiveness.

In the fast-paced world of data science, keeping your machine learning models up-to-date and relevant is a never-ending job. The data never stays the same for long!

In this course, Continuous Model Training with Evolving Data Streams, you’ll gain the ability to maintain accurate models, no matter how much the data changes.

First, you’ll explore why continuous training is so important, delving into topics like concept drift and data drift.

Next, you’ll discover various strategies for the continuous adaptation of models, including batch learning and incremental training techniques, to help your models evolve as new data arrives.

Finally, you’ll explore model retraining frameworks, employing automated pipelines and feedback loops to integrate real-world insights into ongoing model adjustments.

When you’re finished with this course, you’ll have the skills and knowledge of continuous training needed to keep your machine learning models at peak performance, adapting to new data.

What's inside

Syllabus

Course Overview

Why Continuous Model Training?

Frameworks, Evaluation, and Feedback

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops a strong foundation in continuous model training, particularly for learners who are new to deploying models in the field

Hands-on labs and interactive materials support the learning process effectively

Teaches strategies for adapting models incrementally, which is important for real-time learning systems

Provides a comprehensive overview of model retraining frameworks, which are essential for operationalizing continuous training

Utilizes a mix of videos, readings, discussions, and interactive materials to cater to diverse learning styles

Taught by an experienced instructor who is recognized for their expertise in machine learning

Career center

Learners who complete Continuous Model Training with Evolving Data Streams will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their knowledge of data analysis and machine learning to extract insights from data. They use these insights to solve business problems and make better decisions. This course will help Data Scientists build a foundation in continuous model training, which is essential for keeping models up-to-date and relevant as data changes. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They use their knowledge of machine learning algorithms and techniques to solve real-world problems. This course will help Machine Learning Engineers build a foundation in continuous model training, which is essential for keeping models up-to-date and relevant as data changes. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software systems. They use their knowledge of programming languages and software development techniques to create software that meets the needs of users. This course will help Software Engineers build a foundation in continuous model training, which is becoming increasingly important as more and more software systems use machine learning. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts use their knowledge of data analysis and visualization to communicate insights from data to stakeholders. They use these insights to help stakeholders make better decisions. This course will help Data Analysts build a foundation in continuous model training, which is essential for keeping models up-to-date and relevant as data changes. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use their knowledge of business processes and data analysis to identify and solve business problems. They use their findings to make recommendations to stakeholders. This course will help Business Analysts build a foundation in continuous model training, which can help them to identify and solve business problems more effectively. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and management of products. They use their knowledge of market research, user experience, and data analysis to create products that meet the needs of users. This course will help Product Managers build a foundation in continuous model training, which can help them to create better products. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers are responsible for the planning, execution, and delivery of projects. They use their knowledge of project management techniques and tools to ensure that projects are completed on time, within budget, and to the satisfaction of stakeholders. This course will help Project Managers build a foundation in continuous model training, which can help them to manage projects more effectively. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Project Manager

Operations Research Analyst

Operations Research Analysts use their knowledge of mathematics, statistics, and computer science to solve business problems. They use their findings to make recommendations to stakeholders. This course will help Operations Research Analysts build a foundation in continuous model training, which can help them to solve business problems more effectively. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians use their knowledge of statistics to collect, analyze, and interpret data. They use their findings to make recommendations to stakeholders. This course will help Statisticians build a foundation in continuous model training, which can help them to collect, analyze, and interpret data more effectively. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Statistician

Financial Analyst

Financial Analysts use their knowledge of financial analysis to make investment recommendations. They use their findings to help investors make better investment decisions. This course will help Financial Analysts build a foundation in continuous model training, which can help them to make better investment decisions. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use their knowledge of risk management to identify and assess risks. They use their findings to make recommendations to stakeholders. This course will help Risk Analysts build a foundation in continuous model training, which can help them to identify and assess risks more effectively. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Risk Analyst

Quantitative Analyst

Quantitative Analysts use their knowledge of mathematics, statistics, and computer science to analyze financial data. They use their findings to make investment recommendations. This course will help Quantitative Analysts build a foundation in continuous model training, which can help them to make better investment decisions. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Quantitative Analyst

Machine Learning Specialist

Machine Learning Specialists use their knowledge of machine learning to develop and deploy machine learning models. They use their findings to solve business problems and make better decisions. This course will help Machine Learning Specialists build a foundation in continuous model training, which is essential for keeping models up-to-date and relevant as data changes. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Machine Learning Specialist

Artificial Intelligence Engineer

Artificial Intelligence Engineers design and develop artificial intelligence systems. They use their knowledge of artificial intelligence to create systems that can learn and adapt. This course will help Artificial Intelligence Engineers build a foundation in continuous model training, which is essential for keeping models up-to-date and relevant as data changes. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Artificial Intelligence Engineer

Data Architect

Data Architects design and build data systems. They use their knowledge of data architecture to create systems that are scalable, reliable, and secure. This course will help Data Architects build a foundation in continuous model training, which can help them to create better data systems. It will teach them how to continuously train and adapt their models, ensuring long-term effectiveness.

See salaries and explore the career path for Data Architect