Physics of Data Science and Machine Learning links fundamental concepts of physics to data science, machine learning and artificial intelligence for physicists looking to integrate these techniques into their work.
Physics of Data Science and Machine Learning links fundamental concepts of physics to data science, machine learning and artificial intelligence for physicists looking to integrate these techniques into their work.
Ijaz A. Rauf is Adjunct Professor at the School of Graduate Studies, York University, Toronto, Canada. He is also an Associate Researcher at Ryerson University, Toronto, Canada and President of the Eminent-Tech Corporation, Bradford, ON, Canada.
Inhaltsangabe
Chapter 1: Introduction Chapter 2: An Overview of Classical Mechanics Chapter 3: An Overview of Quantum Mechanics Chapter 4: Probabilistic Physics Chapter 5: Design of Experiments and Analyses Chapter 6: Basics of Machine Learning Chapter 7: Prediction, Optimization, and New Knowledge Development
Chapter 1: Introduction Chapter 2: An Overview of Classical Mechanics Chapter 3: An Overview of Quantum Mechanics Chapter 4: Probabilistic Physics Chapter 5: Design of Experiments and Analyses Chapter 6: Basics of Machine Learning Chapter 7: Prediction, Optimization, and New Knowledge Development
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