This is the code repository for Python Machine Learning By Example Third Edition, published by Packt). It contains all the supporting project files necessary to work through the book from start to ...

Python has become the most popular data science and ... This step is crucial because it can make a big difference in the performance of your machine learning model. For example, if you are working ...

and explainable machine learning models for production across diverse industrial applications. Fundamental Python skills are all you need to dive into the concepts and practical examples covered.

Understanding machine learning models’ behavior, predictions, and interpretation is essential for ensuring fairness and transparency in artificial intelligence (AI) applications. Many Python ...

If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf ... In addition to the step-by-step code, this book will also help you interpret model outcomes using examples ...

Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put ...

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 ...

Python is also great to use with APIs, for example, Google’s Page Speed ... are helpful when working with and training machine learning models. Machine learning is essentially “an application ...

NumPy arrays require far less storage area than other Python lists, and they are faster and more convenient to use, making it a great option to increase the performance of Machine Learning models ...

This is achieved by using large data sets that train the parameters in the model. Perhaps the most well-known examples of machine learning currently are ChatGPT and BARD – and while this post ...