Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.
Covers key concepts in reinforcement learning, neural networks, clustering, and unsupervised learning, emphasizing their applications and challenges.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
