Debugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts to advanced techniques.

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications. A Python library is a ...

Testing Machine Learning Models for Accuracy, Trustworthiness, and Stability with Python and H2O - Notebook Because ML model predictions can vary drastically for small changes in input variable values ...

Microsoft has open sourced "ONNX Script," a library for authoring machine learning models in Python. While Python has long been recognized as a go-to programming language for data science and is often ...

This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What you ...

The hybrid ensemble learning model, built using these weak learning models, is applied in the task of classification for the bank’s customer churn modelling. About the Dataset. The customer churn ...

How The Deployment Is Critical. One of the crucial reasons is that the researchers do not have the right tools or expertise in order to deploy their machine learning models. The domain experts work on ...

This book is for data scientists and ML engineers who are working with Python and want to further boost their ML model’s performance by using the appropriate hyperparameter tuning method. Although a ...