And finally, you will close out the specialization with an introduction to deep learning basics, including choosing model architectures, building/training neural networks with libraries, and hands-on ...

These books cover the fundamentals of deep learning and provide practical examples to help readers get started. Which Python libraries do I need for machine learning? To get started with machine ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.

Introduction to an EEG time-series machine learning project using Python, from setting up the environment to the first steps.

Recent developments in Machine ... deep learning, ensemble models, and reinforcement learning. Examples will be drawn form the entire spectrum of energy applications to illustrate the applications of ...