Learning to Work with Learning Machines - Introduction to Machine Learning Bootcamp

Explore a comprehensive three-part bootcamp lecture delivered by Dr. Challenger Mishra from the University of Cambridge, focusing on problem-solving through Machine Learning. Begin with fundamental ML concepts and progressively advance through essential tools and techniques that enable working with existing ML frameworks. Through hands-on exercises, learn to structure problems in machine-learnable formats, making this lecture particularly valuable for beginners entering the field of Machine Learning. Delivered as part of the "Black holes: bridges between number theory and holographic quantum information" event at the Isaac Newton Institute, this 99-minute session provides a step-by-step approach to understanding and implementing machine learning solutions in practical scenarios.