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AI and machine learning courses - Pluralsight
Build AI and machine learning skills with courses and assessments on Python, TensorFlow, R, Neural Networks, Microsoft Cognitive Services and others to create more engaging experiences for your customers. Learn the latest from experts with real-world experience.

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Pluralsight AI+ offers access to online courses and learning labs that provide the master skills needed to develop, deploy, and lead AI and Machine Learning. Buy Pluralsight AI+.

Building Apps with Machine Learning in .NET - Pluralsight
Machine-learning (ML) is a subset of artificial intelligence (AI) that enables computers to learn from data. This course will teach you how to use ML.NET to train, build, and ship custom machine learning models with your .NET and C# applications.

Foundations of Machine Learning Engineering - Pluralsight
In this course, Foundations of Machine Learning Engineering, you’ll learn the basic concepts of machine learning engineering and how ML models are developed, deployed, and maintained.

TensorFlow Developer Certificate - Time Series, Sequences, and Predictions
When you’re finished with this course, you’ll have the skills and knowledge of TensorFlow and deep learning for time series needed to accurately forecast metrics like future sales, demand, stock prices, and more.

Introduction to Machine Learning | Instructor-Led Training | Pluralsight
Build future-ready tech teams and hit key business milestones with seven proven plays from industry leaders. The Introduction to Machine Learning training course is designed to demonstrate the fundamentals of Data Science and Machine Learning in Python.

Understanding Machine Learning with Python 3 - Pluralsight
By the end of this course, you will be able to use Python and the scikit-learn library to create Machine Learning solutions. And you will understand how to evaluate and improve the performance of the solutions you create.

Building Machine Learning Models in Python with scikit-learn
This course course will help engineers and data scientists learn how to build machine learning models using scikit-learn, one of the most popular ML libraries in Python.

 

 

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