TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. Topics Spotlight: AI-ready data centers ...

But reviewing one is not an easy feat either, especially when it’s a highly acclaimed title such as Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and ...

Automation and machine learning are increasingly becoming core to IT skill sets. The 2022 Complete Learn Coding & Automation Bundle shows you how to make use of them with hands-on practice for $34 ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Learn how to use permutation testing to validate your machine learning models using Sklearn. This video breaks down the process to help improve model reliability and performance. The pool's open ...

That’s what spurred the folks at Dato to work with Coursera and the University of Washington to create a class that advocates a more practical approach to machine learning. As the CEO and co-founder ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...