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.
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.
Author Name: Axel Sirota
Author Description:
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O’Reilly Media.
User Reviews
Be the first to review “Model Training: Best Practices for Data Practitioners”
Related Products
Build Deep Learning Models with TensorFlow
Use TensorFlow to build and tune deep learning models.
Intermediate Machine Learning
Level up your machine learning skills with tuning methods, advanced models, and dimensionality reduction.
Intro to PyTorch and Neural Networks
Learn how to use PyTorch to build, train, and test artificial neural networks in this course.
Machine Learning: Introduction with Regression
Get started with machine learning and learn how to build, implement, and evaluate linear regression models.
Intro to Cloud Computing
Learn the foundations of cloud computing across platforms like AWS, Cloud, Azure, and GCP.
Machine Learning: Perceptrons
Level up your machine learning skills by learning how to build perceptrons: the foundations of neural networks.
There are no reviews yet.