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    • Data

Model Training: Best Practices for Data Practitioners

Pre-trained models are used everywhere right now to add AI functionalities to products. But have you wondered how they are trained? This course will teach you from start to finish the process of going from an idea and a dataset to a trained model.

Axel Sirota - Pluralsight course - Model Training: Best Practices for Data Practitioners
by Axel Sirota

What you'll learn

Machine Learning is everywhere. Everyday more AI capabilities are added to every product, so to keep up to date you need to master that skill. In this course, Model Training: Best Practices for Data Practitioners, you’ll gain the ability to train a model to solve such AI problems. First, you’ll explore the model lifecycle and data preparation strategies. Next, you’ll discover how to train and select models. Finally, you’ll learn how to keep up to date with trends. When you’re finished with this course, you’ll have the skills and knowledge of model training needed to add any AI feature to any product when needed.

Table of contents

About the author

Axel Sirota - Pluralsight course - Model Training: Best Practices for Data Practitioners
Axel Sirota

Axel Sirota has a Masters degree in Mathematics with a deep interest in Deep Learning and Machine Learning Operations. After researching in Probability, Statistics and Machine Learning optimization, he is currently working at JAMPP as a Machine Learning Research Engineer leveraging customer data for making accurate predictions at Real Time Bidding.

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