Reinforcement Learning is one of the most exciting parts of Machine Learning and AI, as it allows for the programming of agents taking decisions in both virtual and real-life environments. This MIT course presents the theoretical background as well as…
Computer vision and convolutional neural networks
Computer vision is a key aspect of artificial intelligence that is critical to many applications, from robots movements to self-driving cars and from medical imaging to products recognition in manufacturing plants. This MIT course presents the issues of computer vision…
Conceptual and mathematical summary for machine learning
Machine learning makes use of multiple mathematical formulas and relations to implement the different tasks it can handle. Gathered in the following “cheat sheets” by Afshine and Shervine Amidi, the concepts for supervised and unsupervised learning, deep learning together with machine…
Guide to real Machine Learning applications
This series of articles dives deeper into the actual applications of Machine Learning that are currently in use in many current technological processes and devices. Through these posts entitled “Machine Learning is Fun!”, Adam Geitgey guides us step by step…