How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...

As exhibited in the Table of Contents below, this book has excellent coverage for all important topic areas. I found Part I, Mathematical Foundations, a one-stop-shop for all the mathematical ...

Machine learning is a wildly popular field of technology that is being used by data scientists around the globe. Mastering machine learning can be achieved via many avenues of study, but one arguably ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Machine Learning and Artificial intelligence enable the learning of complex nonlinear patterns from high-dimensional datasets. In ESAM, we are interested in leveraging or developing new data-driven ...

With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for you.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics. Mathematicians from the ...